Pith. sign in

Paper Citation Record · LEDGER

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images

As of 19 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 0 inbound Pith citation observations for arXiv:2606.10328.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.10328 v1

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T14:14:50.907161Z

measured 82 of 82 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

82 of 82 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved81
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 62d18563-c98e-42a7-8913-e8035a904376 · outbound

This paper cites Deep learning for change detection in remote sensing images: Comprehensive review and meta-analysis,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Deep learning for change detection in remote sensing images: Comprehensive review and meta-analysis,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:e35f2183e15659be87b4c1058cb254aacdae99fe03e38d76a9a9790433105a27

Observation a096d287-fa68-4e42-bc51-0bfdaf092d49 · outbound

This paper cites A scalable high-performance unsupervised system for producing large-scale HR land cover maps: The Italian country case study,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images A scalable high-performance unsupervised system for producing large-scale HR land cover maps: The Italian country case study,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:f4ce9a0f127478a5958d4ef1fd7fa93b33470b2f02f1121fb89af01056fad534

Observation 6c0b9902-953a-4f21-9e56-f9a2573c137d · outbound

This paper cites Automated machine learning driven stacked ensemble modeling for forest aboveground biomass prediction using multitemporal Sentinel-2 data,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Automated machine learning driven stacked ensemble modeling for forest aboveground biomass prediction using multitemporal Sentinel-2 data,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:804b4cfb928b5075f3ebc93cdf21c165920f15bfd16d6ebb4d5682b6729c7ccb

Observation 4c7c429b-c559-41bc-8e81-bb34203da15b · outbound

This paper cites Panchromatic and multispectral image fusion for remote sensing and earth observation: Concepts, taxonomy, literature review, evaluation methodologies and challenges ahead,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Panchromatic and multispectral image fusion for remote sensing and earth observation: Concepts, taxonomy, literature review, evaluation methodologies and challenges ahead,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:9727b6e4cbb79be60e27b47876a122f1dc6dd85d6d545bc7c69aa32572e55f1a

Observation 72c3e07b-bba4-4fd9-903d-e96c69319517 · outbound

This paper cites End-to-end change detection for high resolution satellite images using improved UNet++,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images End-to-end change detection for high resolution satellite images using improved UNet++,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:f310fcea9b35025355d2000db70a6a7a6ee7f646cdab4d109aa48c9a2dda1a12

Observation 17790324-a843-4e82-9d58-21730ddbabb8 · outbound

This paper cites SNUNet-CD: A densely connected siamese network for change detection of VHR images,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images SNUNet-CD: A densely connected siamese network for change detection of VHR images,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:5ca219404954ab7726d280ec21b715e1e2ac813167baef3f9d986ed220980f19

Observation ebe3ab7d-8548-468c-a0dc-9765bf8f087b · outbound

This paper cites Fully convolutional Siamese networks for change detection,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Fully convolutional Siamese networks for change detection,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:19946212ef6464bc0ecb31062f7489845c94a20eca575f7c9146fc1611b6666c

Observation 4e0257de-bec0-4360-ab83-a6121531a9c5 · outbound

This paper cites SemiCDNet: A semisupervised convolutional neural network for change detection in high resolution remote-sensing images,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images SemiCDNet: A semisupervised convolutional neural network for change detection in high resolution remote-sensing images,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:433fd352e4c3f1a079fc4dd2fb4b77e34ff9c541ec37b907c8f0dd5232fc362f

Observation 4360e9c6-81fd-46c3-8b3e-4f8c6b120e52 · outbound

This paper cites A deep multiscale pyramid network enhanced with spatial–spectral residual attention for hyperspectral image change detection,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images A deep multiscale pyramid network enhanced with spatial–spectral residual attention for hyperspectral image change detection,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:c596342b606559f6205a59a22c2eb9a236a2fa9bb0a43441ca4a03a4204363e6

Observation 0b3ed20b-dff2-4c3d-b298-d2164d65857b · outbound

This paper cites Difference enhancement and spatial–spectral nonlocal network for change detection in VHR remote sensing images,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Difference enhancement and spatial–spectral nonlocal network for change detection in VHR remote sensing images,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:369dae031ca1b868483080c474b4b56688d342a7beb43fa59be7153f075cbdb7

Observation a25d9830-9c73-4e9d-8160-be348c4f1989 · outbound

This paper cites Relation changes matter: Cross-Temporal difference transformer for change detection in remote sensing images,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Relation changes matter: Cross-Temporal difference transformer for change detection in remote sensing images,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:43927adddb7a8f7b509181321d2e2961924e22ab23cc8eba331e9a0f7dcdb69b

Observation 12c07571-8bca-4b91-a2b9-f328a46db290 · outbound

This paper cites Asymmetric cross-attention hierarchical network based on CNN and transformer for bitemporal remote sensing images change detection,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Asymmetric cross-attention hierarchical network based on CNN and transformer for bitemporal remote sensing images change detection,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:a8de13d92bd1de72ce700de9d5413e640d86106c2e0e7de12096ae460594f181

Observation c5930566-6496-4da3-aa46-322a2e551301 · outbound

This paper cites A multiscale graph convolutional network for change detection in homogeneous and heterogeneous remote sensing images,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images A multiscale graph convolutional network for change detection in homogeneous and heterogeneous remote sensing images,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:f447cf66a2de7a98d7727423e5f2ca033afca4623295468a47b60c5f487d8e1f

Observation de123a28-915f-4d51-85e7-512e188bf35d · outbound

This paper cites Semisu- pervised change detection using graph convolutional network,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Semisu- pervised change detection using graph convolutional network,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:68bc6b801188d12ae540f8015e5f5f74f517f33c194319703d189fc589d64c87

Observation 01dc134f-5b0e-47fb-86e2-f7244c2727fe · outbound

This paper cites An unsupervised remote sensing change detection method based on multiscale graph convolutional network and metric learning,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images An unsupervised remote sensing change detection method based on multiscale graph convolutional network and metric learning,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:7bb64370add9afbbcda31af498abb1af831f231c4e159174feb55f299439ef78

Observation e3f675b0-8062-4228-965d-bfa798741909 · outbound

This paper cites GCN-based multi-scale dual fusion for remote sensing building change detection.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images GCN-based multi-scale dual fusion for remote sensing building change detection

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:c39217cea8ae77222e9c39fe2d4fe421ba3b94e40362b5d087ac477128fdd1bd

Observation 3b5f5882-4183-4d43-95d1-764273573fcb · outbound

This paper cites Spatial–spectral attention network guided with change magnitude image for land cover change detection using remote sensing images,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Spatial–spectral attention network guided with change magnitude image for land cover change detection using remote sensing images,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:545d9c0565b99fff77be5c8512913fe9ce54d02d660fba71f9d663a22fc90ea6

Observation 09c7d725-a449-407d-ba9e-c97686b0bb4a · outbound

This paper cites Change detection based on artificial intelligence: State-of-the-art and challenges,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Change detection based on artificial intelligence: State-of-the-art and challenges,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:b640f3f16bbb83acb43e59eb019c04df8953294a0ace7efb79579322cf4dc23c

Observation 71143540-1fed-4743-a55e-bf79dc5e82c1 · outbound

This paper cites A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:e5101ae20da58d8694a2b9114a395f43279a70f70b27d31d9901441874ce8226

Observation ec2e2009-dc5d-4dd8-8f8c-5404115d2a52 · outbound

This paper cites Spectral–spatial–temporal transformers for hyperspectral image change detection,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Spectral–spatial–temporal transformers for hyperspectral image change detection,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:041e8d659b126b222b400b39c632e88b55370a0214a53b3c7ef1a6dd44ceeeca

Observation bcfd0a33-a84b-4d78-8cad-aa91b00dcbe9 · outbound

This paper cites Sscnn-s: A spectral-spatial convolution neural network with Siamese architecture for change detection,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Sscnn-s: A spectral-spatial convolution neural network with Siamese architecture for change detection,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:ec2db545d7f161c9ed37712487ffc36349dd3be6aa632a6e5b88ea246919ce85

Observation 66c65059-9b2d-4306-9199-3dee806069b9 · outbound

This paper cites A theoretical framework for unsupervised change detection based on change vector analysis in the polar domain,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images A theoretical framework for unsupervised change detection based on change vector analysis in the polar domain,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:6d9ed610802b732a1d3f725731e679d9e74cabf31a3657ee570ea54d795ced3b

Observation c045349a-9c51-44b5-8271-b793833a2a44 · outbound

This paper cites A framework for automatic and unsupervised detection of multiple changes in multitemporal im- ages,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images A framework for automatic and unsupervised detection of multiple changes in multitemporal im- ages,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:837be7bb53d9d6f5f117a47f328d0ddcd9cfeb4949adb228b8fd36f5e9a53b39

Observation ec48da58-9c15-48f3-93fc-cb1126af930a · outbound

This paper cites Multivariate alteration detection (MAD) and MAF postprocessing in multispectral, bitemporal image data: New approaches to change detection studies,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Multivariate alteration detection (MAD) and MAF postprocessing in multispectral, bitemporal image data: New approaches to change detection studies,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:06bf4f8b535df0954e6efb823083429f6a2f41f3f7708925c8cee17b3cb398f2

Observation d8694160-0cfd-411a-bdd8-de0e4b6b6c62 · outbound

This paper cites The regularized iteratively reweighted MAD method for change detection in multi-and hyperspectral data,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images The regularized iteratively reweighted MAD method for change detection in multi-and hyperspectral data,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:247b0693da33a66cf1ffe1d047ec20d993156dae5431886f62965d41bcaf04a1

Observation 326b93b7-e072-4299-b3e2-0c2ac128541f · outbound

This paper cites Unsupervised change detection of multispectral images based on PCA and low-rank prior,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Unsupervised change detection of multispectral images based on PCA and low-rank prior,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:2da225d2d925da7661f3c414e90149f38a3e6da5c1ffde3a639714ecce801919

Observation 0bb40dae-b257-4b10-a5ca-e7a02bcf56de · outbound

This paper cites ICA and kernel ICA for change detection in multispectral remote sensing images,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images ICA and kernel ICA for change detection in multispectral remote sensing images,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:99d44f851dc31d65cc01145ea3cc7ab2950ab196d9794569ba849a876ee4a547

Observation d43140e5-e78b-4264-84e4-e8bd1346d3d9 · outbound

This paper cites Unsupervised change detection of multispectral images based on pca and low-rank prior,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Unsupervised change detection of multispectral images based on pca and low-rank prior,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:034d4b24c13ad9b0703dd2c177330b10049e3dd2afb08c362040a8a1e9a8a302

Observation 4b5acb42-332a-449e-ba90-b7ae67713c65 · outbound

This paper cites A critical synthesis of remotely sensed optical image change detection techniques,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images A critical synthesis of remotely sensed optical image change detection techniques,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:9463567dc1274fa14b69f3cab265cdacd3445b79dd0b9913f0ad9c300ce08607

Observation 371c00d9-696b-4b26-a072-50e239cb18bf · outbound

This paper cites Change detection in synthetic aperture radar images based on image fusion and fuzzy clustering,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Change detection in synthetic aperture radar images based on image fusion and fuzzy clustering,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:79def9b7994e70d96ef1e16e89a97f32067fd6b64e5a8cbe41ebb6e1784602ba

Observation 2ab57e3d-8781-4a27-b1d1-a0bc490bec11 · outbound

This paper cites Sparse unmixing with dictionary pruning for hyperspectral change detection,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Sparse unmixing with dictionary pruning for hyperspectral change detection,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:bab55345d206c01542a1ca653ea717455d2bebd3ea3bd9ee9834f2d5f244b36c

Observation 4f457daf-723f-4a52-b94b-3d1a797b9630 · outbound

This paper cites Iterative robust graph for unsupervised change detection of heterogeneous remote sensing images,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Iterative robust graph for unsupervised change detection of heterogeneous remote sensing images,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:f23488f85de5b4836c121331272d8047bdcc3222d46e801d1ae2bfae6304194a

Observation bc77122c-30d0-42d2-ad90-60a3f96888dc · outbound

This paper cites A novel approach to unsupervised change detection based on a semisupervised SVM and a similarity measure,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images A novel approach to unsupervised change detection based on a semisupervised SVM and a similarity measure,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:fb0f5880bac9abf7259092b9f0c31354118f8e50b53bfb84d787b0ccdf29ea1d

Observation 2e4b1b1d-a243-4e45-aba2-358cc21e0c16 · outbound

This paper cites A change detection model based on neighbor- hood correlation image analysis and decision tree classification,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images A change detection model based on neighbor- hood correlation image analysis and decision tree classification,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:f66cab7efa65f63c275f13d26faac5f7ce189223864054fccf848bf1584058b5

Observation 5de7a52e-46d0-4eac-9741-23ecda928fc6 · outbound

This paper cites Multiscale unsupervised change detection on optical images by Markov random fields and wavelets,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Multiscale unsupervised change detection on optical images by Markov random fields and wavelets,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:c2ae65be01349719bfb02e3157d0991042292ede48ce23fdcca435fecd14913b

Observation aba5b349-b76a-4e73-bc49-64772a7f0a41 · outbound

This paper cites Change detection on remote sensing images using dual-branch multilevel intertemporal network,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Change detection on remote sensing images using dual-branch multilevel intertemporal network,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:e3bb3706658cb35153b074eca0970a6c87bbf535d23ade5d64d3f82bdce68874

Observation 409fc38c-9d2e-4fed-99d5-6c8b1cf77c85 · outbound

This paper cites Style transformation- based spatial–spectral feature learning for unsupervised change detec- tion,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Style transformation- based spatial–spectral feature learning for unsupervised change detec- tion,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:476aaa78694a6c124c31a4e4dff446a3d0a0cc658f3df9e95d15a430472d28a6

Observation 3e373caf-e088-4404-ba08-84ef6ec592b1 · outbound

This paper cites Deep depthwise separable convolutional network for change detection in optical aerial images,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Deep depthwise separable convolutional network for change detection in optical aerial images,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:7196379c4fd84836ba73cc03f88a672f8a09241ba0a26622de8ea3fe53809b5d

Observation af69f374-4552-41d1-a581-363b9f1daa99 · outbound

This paper cites Ultralightweight spatial–spectral feature cooperation network JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 15 for change detection in remote sensing images,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Ultralightweight spatial–spectral feature cooperation network JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 15 for change detection in remote sensing images,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:5cf9d55043f65edbab020603c8ef64cbc4e0011a1883aa8e5d5cace18eaf6e00

Observation dbad1b1b-6a24-4b05-9090-dfbc25a102ba · outbound

This paper cites Learning spectral-spatial- temporal features via a recurrent convolutional neural network for change detection in multispectral imagery,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Learning spectral-spatial- temporal features via a recurrent convolutional neural network for change detection in multispectral imagery,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:a287008a6055aa4735f16a1443ac021c6ac09a4de20c867b86038fb370564edb

Observation 6a8e8af1-8b20-4273-bc5d-9fa29da241bc · outbound

This paper cites Edge-guided recurrent convolutional neural network for multitemporal remote sensing image building change detection,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Edge-guided recurrent convolutional neural network for multitemporal remote sensing image building change detection,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:01504b3d84de2150420cb7f11f1c0235539bae1c7618603b2e3aeeb727b4a20b

Observation ecb86967-1c6c-44f2-99df-84adc7ee5b69 · outbound

This paper cites Change detection in multisource VHR images via deep siamese convolutional multiple-layers recurrent neural network,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Change detection in multisource VHR images via deep siamese convolutional multiple-layers recurrent neural network,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:d07dbbc11769acfca05a6e3023a05f1157f18fe50f1906410cbfb983b37cc031

Observation 2ceaa0b8-0c17-49f5-815c-00b61f938791 · outbound

This paper cites Deep image translation with an affinity- based change prior for unsupervised multimodal change detection,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Deep image translation with an affinity- based change prior for unsupervised multimodal change detection,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:4d1a7e8d4beb4b004d598d37420bfe1b09f0468a408383439d71b618a8ba5b13

Observation 3178743a-4fe3-4e23-8b7c-2fbe35d16747 · outbound

This paper cites An end-to- end supervised domain adaptation framework for cross-domain change detection,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images An end-to- end supervised domain adaptation framework for cross-domain change detection,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:cd87aff74c13ba55224aa0d8f20f03b9ad640f3cfd0c4741a4d834e788cc3b3b

Observation bfbf3f0f-5946-43c4-9470-cd400f3e8096 · outbound

This paper cites A semisupervised GAN-based multiple change detection framework in multi-spectral images,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images A semisupervised GAN-based multiple change detection framework in multi-spectral images,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:8c2b4f0b889a215ebbd9a772653fafec5e9da8c97d24f01d543ce43df9bcbab3

Observation 1f3d2197-496c-457c-8c55-8613caed4af2 · outbound

This paper cites A deeply supervised attention metric-based network and an open aerial image dataset for remote sensing change detection,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images A deeply supervised attention metric-based network and an open aerial image dataset for remote sensing change detection,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:32fe589d018e05e801e26a29cae4ebbb7aec7292fbf8a578eab0febe9b56d655

Observation 11be2dd0-a0a2-4b23-8bad-3d1b1740a962 · outbound

This paper cites Bi- temporal semantic reasoning for the semantic change detection in hr remote sensing images,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Bi- temporal semantic reasoning for the semantic change detection in hr remote sensing images,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:5ac7ba94885d755eba318462c86f61ad613bc20ca272327b8e022bde49956df7

Observation 9d2edf7e-45b8-447c-9275-cfd77672e587 · outbound

This paper cites A densely attentive refinement network for change detection based on very-high-resolution bitemporal remote sensing images,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images A densely attentive refinement network for change detection based on very-high-resolution bitemporal remote sensing images,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:fc69cf1a46d1ead58ccbebc47cba44a3719bbba2f673712409a743adb5ed3131

Observation c00d275c-bfe0-4613-aba6-3640989b7773 · outbound

This paper cites HANet: A hierarchical attention network for change detection with bi-temporal very-high- resolution remote sensing images,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images HANet: A hierarchical attention network for change detection with bi-temporal very-high- resolution remote sensing images,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:aa3b3472bf28af766c97de5666001c36bf30afe2567f3ba7ce19568d49417f16

Observation 6cdfb788-a322-4103-8dd1-b5910631cf8a · outbound

This paper cites SwinSUNet: Pure transformer network for remote sensing image change detection,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images SwinSUNet: Pure transformer network for remote sensing image change detection,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:8fd2ac34864451edfbb2c37991b783ccbda065b0b793979aec252ebf6900ace8

Observation 55d7ae1c-bb1c-4c7c-b3cc-12e40b6b28e4 · outbound

This paper cites ConvTransNet: A CNN-transformer network for change detection with multi-scale global-local representa- tions,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images ConvTransNet: A CNN-transformer network for change detection with multi-scale global-local representa- tions,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:4fa87cd2fa8da20de9ac90df35dfb89018aeb3fe648776a1006879769a76a897

Observation acaa7337-63d8-4cba-a0e2-5d9c0dbee154 · outbound

This paper cites DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:07:36.615477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:3aa6446834d570668c8a06584692a54d88181856bc3c6a9221c8a3b499577b2b

Observation 147e46c0-8082-4bb3-aef8-5c568d14dc22 · outbound

This paper cites Guided anisotropic diffusion and iterative learning for weakly supervised change detection,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Guided anisotropic diffusion and iterative learning for weakly supervised change detection,

Reference 54

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:223bf44961c8548d24986db37eb600c16b1c67f6cd3d984f70379e1afc865f57

Observation f7ca004c-e4cf-4aac-8e5d-44795954a594 · outbound

This paper cites Weakly su- pervised change detection using guided anisotropic diffusion,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Weakly su- pervised change detection using guided anisotropic diffusion,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:9ce7fc8b505e3be67a4b1a1aa9d45221e97d4f237b4fea42a036146ea912928d

Observation a8c4210a-e57c-4dd5-8643-c44fec505dc9 · outbound

This paper cites Deep residual learning for image recognition,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Deep residual learning for image recognition,

Reference 56

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:0cf8e8fbae146db751db37d35c1d6eb0dab12692b02a44d0933c6008928f740b

Observation 9137ddeb-95ca-4ff9-894c-ee5ed4cc659e · outbound

This paper cites S2dbft: Spectral-spatial dual-branch fusion transformer for hyperspectral image classification,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images S2dbft: Spectral-spatial dual-branch fusion transformer for hyperspectral image classification,

Reference 57

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:a616dff3573f50fdd793828c62f06649d7ebfb3a43a048424c7e0b84fea824a0

Observation 63b2d7a2-841b-4253-b0bc-5b3384ecc26a · outbound

This paper cites Implementation of motion estimation based on heterogeneous parallel computing system with opencl,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Implementation of motion estimation based on heterogeneous parallel computing system with opencl,

Reference 58

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:11a2a48f60e1f7fdc58672897759aeccc11b6728dc17901e0b697bc16f8e0b91

Observation 29eb33a8-b072-4790-82ec-30325f3a8460 · outbound

This paper cites 3d octave and 2d vanilla mixed convolutional neural network for hyperspectral image classification with limited samples,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images 3d octave and 2d vanilla mixed convolutional neural network for hyperspectral image classification with limited samples,

Reference 59

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:f2d9c6a2bf90577d07340a2b694b51f84ca9e1baf69649d420564c31e36cac69

Observation 60f07fe8-a1a4-4821-92c0-ef968a46df68 · outbound

This paper cites Learning vertex representations for bipartite networks,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Learning vertex representations for bipartite networks,

Reference 60

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:4cc07a55be1fdb42c19ea1ec42b5b5a810788a6926f13743014268bbd75a31fc

Observation 0a57f4bc-0994-45d5-a36c-ea97b345d1b9 · outbound

This paper cites Multi-granularity episodic contrastive learning for few-shot learning,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Multi-granularity episodic contrastive learning for few-shot learning,

Reference 61

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:974061aca82500c6eba3d5b5daaa58509051a6015f23607bb66f8e124e9950d6

Observation d8f48acb-4c70-4f9f-8a63-c65c517d43af · outbound

This paper cites A novel ground-based cloud image segmentation method by using deep transfer learning,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images A novel ground-based cloud image segmentation method by using deep transfer learning,

Reference 62

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:786d483d5ad63edd39714233b73edb83580b17a31e9c255962bab8307ea0988c

Observation 49cc7fcb-e52d-4192-a414-d3b5e5d288ed · outbound

This paper cites Ensemble meteorological cloud classification meets internet of dependable and controllable things,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Ensemble meteorological cloud classification meets internet of dependable and controllable things,

Reference 63

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:db2a92e8792236c02ccb1edbe7997eb25801cddef89df408bb1cb7e5c7a532b3

Observation 496b7d9f-e663-4b37-8a44-cdcc310b60c7 · outbound

This paper cites Automated cca-mwf algorithm for unsupervised identification and removal of eog artifacts from eeg,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Automated cca-mwf algorithm for unsupervised identification and removal of eog artifacts from eeg,

Reference 64

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:745bcf54fe9defd7ef5669b627c97354a73ef90dd2a6e84730abbd47bb2273b4

Observation 6a3b4b0c-f769-4519-9487-50484c4d3fe0 · outbound

This paper cites Supervised learning based discrete hashing for image retrieval,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Supervised learning based discrete hashing for image retrieval,

Reference 65

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:c9fb16f9ad48378edc30a1acf69040bcb63f40d99190ee8659097095e7c75c30

Observation 3ae0e182-bcab-4d6a-aeed-9c6071d3395c · outbound

This paper cites Clothing sale forecasting by a composite gru–prophet model with an attention mechanism,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Clothing sale forecasting by a composite gru–prophet model with an attention mechanism,

Reference 66

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:a76fd48806ed7169bbc99f8f19c0a27cda6ebb85703789dccc6b7fa6bcbbcfff

Observation bcb6b658-f467-4628-930b-e20f676d0ad5 · outbound

This paper cites Distilled large language model-driven dynamic sparse expert activation mechanism,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Distilled large language model-driven dynamic sparse expert activation mechanism,

Reference 67

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:8a54bb219af1eb16b6aef6ea78470830d9c0f09a0c85af7ecadae453cfba95e1

Observation e84bb30d-d5e7-48d3-89cf-21cadfaea213 · outbound

This paper cites Dual-path aggregation transformer network for super-resolution with images occlusions and variability,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Dual-path aggregation transformer network for super-resolution with images occlusions and variability,

Reference 68

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:9bdc6bcb1dc4ec02a539044041cb4ad3b219ab4e291fcb09666540c48b06a8e2

Observation 8ab8000e-7e16-4a64-8ff5-3255648aefc9 · outbound

This paper cites Kftd: Koopman- fourier time-differentiable network for continuous ocean spatiotemporal forecasting,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Kftd: Koopman- fourier time-differentiable network for continuous ocean spatiotemporal forecasting,

Reference 69

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:8a3635d03f23d217e1aa81818072ca6bb7a22eaf00f5aa69d94487639b4e0ac3

Observation 1611b4ba-7911-47ab-b0a3-f3d2f7240eff · outbound

This paper cites A novel dataset and lightweight distil- lation baseline for highlight transparent object detection,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images A novel dataset and lightweight distil- lation baseline for highlight transparent object detection,

Reference 70

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:43b3deec46a3bec5498e8051b65a35aa7e1272b55413316517be30dbacb96183

Observation a61227fe-b38a-411e-a723-9d4bd158cf63 · outbound

This paper cites Idd-net: Industrial defect detection method based on deep-learning,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Idd-net: Industrial defect detection method based on deep-learning,

Reference 71

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:4e3adbc53413bcc8803cc13723f2d7c3127f47c80523bed8fbb3135295ebe00f

Observation d8e4521f-3d9e-4bf9-be69-9082be498775 · outbound

This paper cites Zero-shot learning in industrial scenarios: New large- scale benchmark, challenges and baseline,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Zero-shot learning in industrial scenarios: New large- scale benchmark, challenges and baseline,

Reference 72

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:8df4fd9606d2206295dc3bdaa4861edf9d08f39762517da1b51cb903673810e7

Observation 5c9bbd5e-9d76-4676-af64-acbc2b9ebe3a · outbound

This paper cites Representation learning based on co-evolutionary com- bined with probability distribution optimization for precise defect loca- tion,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Representation learning based on co-evolutionary com- bined with probability distribution optimization for precise defect loca- tion,

Reference 73

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:e50381bec43e979d4bab4066a47feb41a58c56b3f60cb0a993c64e11136e9b65

Observation aa6b5921-30a5-4fea-bca3-99a066abeaf4 · outbound

This paper cites Unification of closed-open industrial detection scenarios: New large-scale benchmarks, challenges and baselines,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Unification of closed-open industrial detection scenarios: New large-scale benchmarks, challenges and baselines,

Reference 74

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:14006634b52178a419883ded911bb41f1281a7bb30b1231865db55cdc4c002d0

Observation c3015074-3552-4184-a127-9f9ceea4b004 · outbound

This paper cites Arbitrary style transfer in real-time with adaptive instance normalization,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Arbitrary style transfer in real-time with adaptive instance normalization,

Reference 75

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:e308dcbce2c66c9735983dba740caa0d864391dbdaa8c164c92f2fa8b1c1e2ee

Observation 386994cd-e705-4fcb-9953-037ee2a4bc77 · outbound

This paper cites Semantic- sparse colorization network for deep exemplar-based colorization,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Semantic- sparse colorization network for deep exemplar-based colorization,

Reference 76

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:4e9f7b955dbcf41cbc3a842a52dafe4a8f98e0f72d5bdc2245381fbefbf3048b

Observation 1f34b2fb-4fb4-41e5-8787-97d211e9eaeb · outbound

This paper cites High resolution remote sensing bitemporal image change detection based on feature interaction and multi-task learning,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images High resolution remote sensing bitemporal image change detection based on feature interaction and multi-task learning,

Reference 77

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:f3304aeead374638da633d523abfe50d08c958fec08e255953d86eec4100ef49

Observation a20dd356-18a7-4c2d-a957-d5dec8bf957b · outbound

This paper cites Deep learning for change detection in remote sensing: A review,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Deep learning for change detection in remote sensing: A review,

Reference 78

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:d530fac0fccb49fbfa0206710092491c2efdffb823a012c0c690a58de1e1be12

Observation b8d860ab-9bf1-482b-99ee-865e682c095d · outbound

This paper cites A spatial-temporal attention-based method and a new dataset for remote sensing image change detection,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images A spatial-temporal attention-based method and a new dataset for remote sensing image change detection,

Reference 79

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:c555d33393735a2a8d9eb6986c425419d539e6c7ccef94e0a2c6ccc37453be73

Observation 74623ece-01eb-4f13-9ba4-1cad83361187 · outbound

This paper cites Fully convolutional networks for multisource building extraction from an open aerial and satellite imagery data set,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Fully convolutional networks for multisource building extraction from an open aerial and satellite imagery data set,

Reference 80

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:218dd96d9f135acd34202708356adbdc9d160f339a3f9f2d4e61ef1520061c1a

Observation 1d1bc211-9e4a-4ef7-9a1f-f6c026c81dc3 · outbound

This paper cites A CNN-transformer network with multiscale context aggregation for fine-grained cropland change detection,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images A CNN-transformer network with multiscale context aggregation for fine-grained cropland change detection,

Reference 81

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:fc5794892e61968399b41cb483cfcd4f5adfe6363848cb4dabdf5e98ed8ccf56

Observation 5a8958ae-ae74-430d-b023-201572576c71 · outbound

This paper cites Building change detection for remote sensing images using a dual-task constrained deep siamese convolutional network model,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Building change detection for remote sensing images using a dual-task constrained deep siamese convolutional network model,

Reference 82

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:7706a855c27364fd6ba968c4f6b9c78d6eee13d344ad281991c5040e48f6df0c

Observation f293a6f3-dc4b-4f9f-89c6-b5d8f4230c90 · outbound

This paper cites Remote sensing image change detection with transformers,.

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images Remote sensing image change detection with transformers,

Reference 83

Resolution
unresolved
no resolver link, observed 2026-06-27T14:14:50.907161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T14:14:50.907161Z digest=sha256:335cd1aff314f04fd4574f9dd58dfa2177e459953ae71d4e6ec1e9f6fe9bda0e

Pith citing papers

No inbound Pith citation observations are available.