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Paper Citation Record · LEDGER

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation

As of 22 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2608.06028.

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

pith.paper-citation-record.v1
2608.06028 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:11:49.877941Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

66 of 66 outbound references displayed

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  • unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d6a4498-db14-430d-89b3-1c4fe236806c · outbound

This paper cites UIU-Net: U-Net in U-Net for infrared small object detection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation UIU-Net: U-Net in U-Net for infrared small object detection,

Reference 1

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Observation c952d689-61db-4549-8b7c-69359d874e11 · outbound

This paper cites Nonlocal patch tensor sparse representation for hyperspectral image super-resolution,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Nonlocal patch tensor sparse representation for hyperspectral image super-resolution,

Reference 2

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Observation fd725e4b-094d-459a-86d2-25ad7211b8c2 · outbound

This paper cites An augmented linear mixing model to address spectral variability for hyperspectral unmixing,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation An augmented linear mixing model to address spectral variability for hyperspectral unmixing,

Reference 3

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Observation 61c3c918-1942-4230-9460-09cc0c1b7d96 · outbound

This paper cites A generalized non-convex surrogated framework for anomaly detection on blurred hyperspectral images,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation A generalized non-convex surrogated framework for anomaly detection on blurred hyperspectral images,

Reference 4

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Source-reported events for the cited work

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Observation cd217dc8-55d6-4e41-8eb6-e8002a3054b3 · outbound

This paper cites Flex-DLD: Deep low- rank decomposition model with flexible priors for hyperspectral image denoising and restoration,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Flex-DLD: Deep low- rank decomposition model with flexible priors for hyperspectral image denoising and restoration,

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 51329c59-e873-4d98-94f5-a9a565d1be26 · outbound

This paper cites A supervised segmentation network for hyperspectral image classification,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation A supervised segmentation network for hyperspectral image classification,

Reference 6

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Source-reported events for the cited work

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Observation f3908385-65c9-4404-ae9c-602b1757d8d7 · outbound

This paper cites Identifiability of the simplex volume minimization criterion for blind hyperspectral unmixing: The no-pure-pixel case,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Identifiability of the simplex volume minimization criterion for blind hyperspectral unmixing: The no-pure-pixel case,

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 214f4c29-d2a6-4cfd-9c28-44e1a031be63 · outbound

This paper cites Nonnegative blind source separation for ill-conditioned mixtures via John ellipsoid,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Nonnegative blind source separation for ill-conditioned mixtures via John ellipsoid,

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 291a71aa-5be6-4000-8144-0dc91eac15c9 · outbound

This paper cites PCA-based land-use change detection and analysis using multitemporal and multisensor satellite data,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation PCA-based land-use change detection and analysis using multitemporal and multisensor satellite data,

Reference 9

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Source-reported events for the cited work

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Observation a2f28c6a-902b-4f8f-bb38-24acc2d8fd88 · outbound

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

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Multivariate alteration detection (MAD) and MAF postprocessing in multispectral, bitemporal image data: New approaches to change detection studies,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 0f1854c3-41a5-45c0-b125-200386d849dc · outbound

This paper cites Multiple support vector machines for land cover change detection: An application for mapping urban extensions,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Multiple support vector machines for land cover change detection: An application for mapping urban extensions,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9081236d-ee89-4447-9724-3334f83cda39 · outbound

This paper cites Extreme learning machine: theory and applications,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Extreme learning machine: theory and applications,

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e130ffb8-b8d9-4997-a7e8-e45f5a7fca56 · outbound

This paper cites Automatic analysis of the difference image for unsupervised change detection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Automatic analysis of the difference image for unsupervised change detection,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.554979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.680470Z digest=sha256:c54c0b71d7a783d2f8e1b4edac365dd99b224ae0fdee96b6b10213a660f90042

Observation 4e6daa86-f915-4060-aa67-bcbecc4c1afb · outbound

This paper cites SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images,

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8aacb77f-8b53-4ba8-9090-ea93b2943aa1 · outbound

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

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Iterative robust graph for unsupervised change detection of heterogeneous remote sensing images,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7a8832a5-c9c2-4680-a20f-49c0f455744d · outbound

This paper cites A context-sensitive technique robust to registration noise for change detection in VHR multispectral images,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation A context-sensitive technique robust to registration noise for change detection in VHR multispectral images,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ac0d0462-d502-4340-a6f7-72fb158354af · outbound

This paper cites Binary change guided hyperspec- tral multiclass change detection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Binary change guided hyperspec- tral multiclass change detection,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ae586aaa-6bb3-4c2e-834e-a60457fd359a · outbound

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

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Deep learning for change detection in remote sensing images: Comprehensive review and meta-analysis,

Reference 18

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4d8ac22c-94af-4949-8757-a18d5a4a469b · outbound

This paper cites Backpropagation applied to handwritten zip code recognition,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Backpropagation applied to handwritten zip code recognition,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1bf83fbf-45d2-4fed-aaaa-882df8ebb95c · outbound

This paper cites Multispectral change detection with bilinear convolutional neural networks,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Multispectral change detection with bilinear convolutional neural networks,

Reference 20

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raw_fallback, observed 2026-08-07T19:11:50.469269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.706462Z digest=sha256:880d92bf092ebbab35de8052682ef2114697354a524eb303d27ed7ad2de4f71a

Observation 0b5fac91-0eda-4e70-949e-2cc0f17f16dc · outbound

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

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation SwinSUNet: Pure transformer network for remote sensing image change detection,

Reference 21

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Source-reported events for the cited work

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Observation 667a3f32-e08b-435e-8ce0-ed8029e04e82 · outbound

This paper cites TransUNetCD: A hybrid trans- former network for change detection in optical remote-sensing images,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation TransUNetCD: A hybrid trans- former network for change detection in optical remote-sensing images,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f7fcdf8b-61f6-4432-9a4a-5964f61ea660 · outbound

This paper cites A non-local sparse unmixing based hyperspectral change detection with unsupervised deep clustering,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation A non-local sparse unmixing based hyperspectral change detection with unsupervised deep clustering,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 372195f3-50ab-42c6-9fbf-043dd4e3a512 · outbound

This paper cites Maximum volume inscribed ellipsoid: A new simplex-structured matrix factoriza- tion framework via facet enumeration and convex optimization,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Maximum volume inscribed ellipsoid: A new simplex-structured matrix factoriza- tion framework via facet enumeration and convex optimization,

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7d59ff94-939d-44fc-825f-435ee530daf6 · outbound

This paper cites HyperNet: Self-supervised hyperspectral spatial–spectral feature understanding network for hyperspectral change detection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation HyperNet: Self-supervised hyperspectral spatial–spectral feature understanding network for hyperspectral change detection,

Reference 25

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 0f1e2ebe-b45c-4d7a-8be6-90935d3531b6 · outbound

This paper cites Hyperspectral change detection using semi- supervised graph neural network and convex deep learning,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Hyperspectral change detection using semi- supervised graph neural network and convex deep learning,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fe86a91c-cf06-49d9-bc4b-6e466fcf4368 · outbound

This paper cites Quantum Information- Empowered Graph Neural Network for Hyperspectral Change Detec- tion,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Quantum Information- Empowered Graph Neural Network for Hyperspectral Change Detec- tion,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.381414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.733003Z digest=sha256:6bd1ad36592eacc440fa71d8c911ff4c8365fbc3a9b6591e5ccfb1197a8edd66

Observation b60b2787-141d-45b7-9d2b-0c8b5e67651a · outbound

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

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation A theoretical framework for unsupervised change detection based on change vector analysis in the polar domain,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:11:49.737100Z digest=sha256:ae01e6d72c367d1892de0253ccaa583459dad1421066c78c48ad1332875bbe47

Observation 92448c95-3396-4513-b19b-1b8be2dd1ae1 · outbound

This paper cites Unsupervised change detection in satellite images using principal component analysis andk-means clustering,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Unsupervised change detection in satellite images using principal component analysis andk-means clustering,

Reference 29

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raw_fallback, observed 2026-08-07T19:11:50.361561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f2f24fe3-c49e-42a8-9025-aaf120079c8c · outbound

This paper cites GETNET: A general end-to-end 2-D CNN framework for hyperspectral image change detection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation GETNET: A general end-to-end 2-D CNN framework for hyperspectral image change detection,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.348168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.744790Z digest=sha256:d78c1e00f16fbbc275e26efe77edf4e345f9bfc72bb18e7563cc792add23997d

Observation 303e36d5-cdf7-4299-8ee2-8d392c62cd78 · outbound

This paper cites CSANet: Cross-temporal interaction symmetric attention network for hyperspectral image change detection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation CSANet: Cross-temporal interaction symmetric attention network for hyperspectral image change detection,

Reference 31

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raw_fallback, observed 2026-08-07T19:11:50.334989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.747841Z digest=sha256:376e4d3541b15c358e1ea678a9a82e5a9dffa4dbfcd889f452eaf19090164776

Observation cf117d1a-e9f1-4e3f-9ba6-6c787e0fe8d0 · outbound

This paper cites A multilevel encoder– decoder attention network for change detection in hyperspectral images,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation A multilevel encoder– decoder attention network for change detection in hyperspectral images,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.323263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.751108Z digest=sha256:3357eca8d7b61cee9ffbb61489fe0bcee88e943a0056c374bb0b9b401a854604

Observation 6aa45a4c-0cd1-4591-813a-6dd943cc691b · outbound

This paper cites SSA-SiamNet: Spectral–spatial-wise attention-based Siamese network for hyperspectral image change detection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation SSA-SiamNet: Spectral–spatial-wise attention-based Siamese network for hyperspectral image change detection,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.312073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.754116Z digest=sha256:0c740077362efd470c09c1cece738899c748f83fd1290ab213d20d0e2ba7ae3d

Observation 7bc40fd0-6880-40dc-8dff-bdd20ae06311 · outbound

This paper cites Three-order tucker decomposition and reconstruction detector for unsupervised hyperspectral change de- tection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Three-order tucker decomposition and reconstruction detector for unsupervised hyperspectral change de- tection,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.300821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.757881Z digest=sha256:5fa32ee9bd9a6929d1d587300855658cdab1aa0f01a0d7aa2e05ca9f314bc20b

Observation 31b9f885-247e-4c38-be91-0ca28118ac3e · outbound

This paper cites A patch tensor-based change detection method for hyperspectral images,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation A patch tensor-based change detection method for hyperspectral images,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.289515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.760939Z digest=sha256:862a961124322cfc5e089c0d749798854d4164d7af78a90d814f82f67fb573e0

Observation 399cef22-f535-4a3f-a7f3-7738228ed46d · outbound

This paper cites S3Net: Superpixel- guided self-supervised learning network for multitemporal image change detection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation S3Net: Superpixel- guided self-supervised learning network for multitemporal image change detection,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.279158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.764315Z digest=sha256:897b5ec1bf402579e1492c9e4793c65c7b64cf0d163047eab2488464266a0b1b

Observation eecf70ef-be09-4962-9006-17f782f9c422 · outbound

This paper cites Hypergraph self-supervised learning-based joint spectral-spatial-temporal feature representation for hyperspectral image change detection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Hypergraph self-supervised learning-based joint spectral-spatial-temporal feature representation for hyperspectral image change detection,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.265833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.768402Z digest=sha256:19bfdcb6ba68b530688514e972c7a1e5bc6d4d9f9da483fc199dc8e2cabcee3a

Observation 44720586-0730-4e37-92c3-e8ecf0473f5c · outbound

This paper cites ADMM-ADAM: A new inverse imaging framework blending the advantages of convex optimization and deep learning,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation ADMM-ADAM: A new inverse imaging framework blending the advantages of convex optimization and deep learning,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.253799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.771966Z digest=sha256:5822269d6972577697caa21f29d582695f2615e8a34807b6ae872040fc901d6d

Observation 7f57f7e7-3805-452f-af50-225eec10fee6 · outbound

This paper cites Underdetermined blind source separation via weighted simplex shrinkage regularization and quantum deep image prior,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Underdetermined blind source separation via weighted simplex shrinkage regularization and quantum deep image prior,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.241112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.775424Z digest=sha256:5ef46e692825e628c8f30b0a928661eb8f12563964b4f8865655d08ab8786ceb

Observation ede9102a-e3d5-4cf1-81b9-d374d6472c51 · outbound

This paper cites HyperKING: Quantum-classical generative adversarial networks for hyperspectral image restoration,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation HyperKING: Quantum-classical generative adversarial networks for hyperspectral image restoration,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.229106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.779152Z digest=sha256:3b0d427884e0423e07afb7a5f32be6d2f38e5e8710325a520706f0ee32081d1b

Observation bd9ed6a5-9f6d-4573-8493-117097d690e6 · outbound

This paper cites Change representation and extraction in stripes: Rethinking unsupervised hyperspectral image change detection with an untrained network,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Change representation and extraction in stripes: Rethinking unsupervised hyperspectral image change detection with an untrained network,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.216947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.783308Z digest=sha256:50c4dd947fdc35bdfc3aba081bdd4a05d401dd87c57cbf2ab14b3be493371fec

Observation 30e3ee3b-446b-4ef6-a3ea-c5119db3c418 · outbound

This paper cites Unsupervised change detection in multitemporal multispectral satellite images: A convex relaxation approach,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Unsupervised change detection in multitemporal multispectral satellite images: A convex relaxation approach,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.203993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.786995Z digest=sha256:8367b9dea39bba5ee853a1e038bf515471d078f19c442ebc14c2042892c330e1

Observation ce3d5585-0c0f-4333-a2a6-cd757c3733fa · outbound

This paper cites Active sample selection and correction propagation on a gradually-augmented graph,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Active sample selection and correction propagation on a gradually-augmented graph,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.191222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.790546Z digest=sha256:9d9f60aff2cfc4f9aabd3eb7a23a39db8f787baa411fea4dc364335682129c9f

Observation 9ce5ccc1-7286-4dbe-b79a-75868961846d · outbound

This paper cites Adam: A method for stochastic optimization,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Adam: A method for stochastic optimization,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.179284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.794350Z digest=sha256:8ac06b1212d8f493939bee4e6d80bd878fb67a1ad8a401596b2060c238450234

Observation 1a0f61eb-057f-4d0c-b7f5-8a195f53fce7 · outbound

This paper cites Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.167070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.798102Z digest=sha256:a63ce32d75bb71354e83e5ef0d24fa64ae00f2a4dbefcbd976da23f0a7455611

Observation 4be69537-4185-475a-bee9-9073e56a78e9 · outbound

This paper cites Hyperspectral anomaly detection via global and local joint modeling of background,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Hyperspectral anomaly detection via global and local joint modeling of background,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.155659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.801836Z digest=sha256:aebe8d248ba535a9862d82e09aa27bed9a040c6f323e7ca4363193b7716695c6

Observation 10122fd0-6553-4ae8-8ed3-d9b202f8c62f · outbound

This paper cites an unresolved cited work.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T19:11:50.144505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.805567Z digest=sha256:27564117a574b4b02b7db66922b4caac6bc097cb8476c10fba2642576ae6ae48

Observation 61638528-100b-41cc-b656-64f208c07fab · outbound

This paper cites Chi, W.-C.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Chi, W.-C

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T19:11:49.809476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:11:49.809476Z digest=sha256:0388e705e39b7be9ea4defa6fe2efef858bf17a093c77a1e0e1cb8344bf5c418

Observation db268aed-fe0c-4a36-89a0-82fabfe875bc · outbound

This paper cites Band selection- based dimensionality reduction for change detection in multi-temporal hyperspectral images,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Band selection- based dimensionality reduction for change detection in multi-temporal hyperspectral images,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.125809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.813261Z digest=sha256:deceb3e41ef4ff4671f16f8f92dc9aa2543d29ccfb2f422d75bf8c656b8bab88

Observation deddecfd-6ac6-4dfe-8947-b10808c4ee27 · outbound

This paper cites Unsupervised change detection in multispectral remote sensing images via spectral- spatial band expansion,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Unsupervised change detection in multispectral remote sensing images via spectral- spatial band expansion,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.113544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.818883Z digest=sha256:5ba31d6f742eca63c4a7b8a22cc209289fe6934e69aba1a2a7d7b47fc27abb17

Observation f1772a22-4693-41bd-bdab-ec577015b7d8 · outbound

This paper cites Change detection for hyperspectral images via convolutional sparse analysis and temporal spectral unmixing,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Change detection for hyperspectral images via convolutional sparse analysis and temporal spectral unmixing,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.100774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.823225Z digest=sha256:675aab32733ad40112c507f53cd9514a6eb02ec6403af62fe5d66861d4dc8a60

Observation 722e6527-8fd9-4f38-864d-75ef183de051 · outbound

This paper cites Adaptive center-focused hybrid attention network for change detection in hyperspectral images,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Adaptive center-focused hybrid attention network for change detection in hyperspectral images,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.088628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.827075Z digest=sha256:954bd60d16fc8b753154ac9198a0ec9c4992177b9de33475484d5bc2aa7c44dc

Observation b104df0b-02a6-4531-b99e-dd0ca12ce08f · outbound

This paper cites Accuracy and inaccuracy assessments in land- cover classification,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Accuracy and inaccuracy assessments in land- cover classification,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.075427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.830654Z digest=sha256:8adad1a7c08680331eeea3baac49eb5ef47e37acd3f2c2f1e47cc00f3b59c680

Observation 0264270b-fc8c-4e0d-9120-4fb7556249af · outbound

This paper cites Coefficient kappa: Some uses, misuses, and alternatives,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Coefficient kappa: Some uses, misuses, and alternatives,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.062129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.834657Z digest=sha256:a3a40be0fc767f1b0b888bdcb955e11f915afc9cc70120f1350c5dd753ec540a

Observation d7fc35e5-3817-47d5-87f4-5af4b49510f1 · outbound

This paper cites Confusion matrix-based perfor- mance evaluation metrics,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Confusion matrix-based perfor- mance evaluation metrics,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.049568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.838517Z digest=sha256:c979693ae1b009bfe2bd37f7034de1830486c3bdf7d4d9efc695ad31c2de31be

Observation 49c98e72-d146-4db5-ba3a-c34ab83e299a · outbound

This paper cites On Loss Functions for Deep Neural Networks in Classification.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation On Loss Functions for Deep Neural Networks in Classification

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T19:11:49.841948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:11:49.841948Z digest=sha256:764bd7837863fb846818f872d5e16c42144eb15d457180982a303cea41173d2c

Observation 40481006-8796-4d00-9fab-eb07138ea4f9 · outbound

This paper cites SLIC superpixels compared to state-of-the-art superpixel methods,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation SLIC superpixels compared to state-of-the-art superpixel methods,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.036869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.845585Z digest=sha256:cc2a5aa7ea256f5784af6b834a640ece193553b8a08c0eace199e42efde9dc0c

Observation abf7783c-5cb7-49cc-b95e-c691425f7663 · outbound

This paper cites Survey over image thresholding techniques and quantitative performance evaluation,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Survey over image thresholding techniques and quantitative performance evaluation,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.024633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.848558Z digest=sha256:c52cfceb44588d9eefc943512a4c0c8c0337347a4a6a1ae351ccbd374ab1f205

Observation 5f07c4a0-281a-476c-87fa-8d6f9263ccad · outbound

This paper cites Long short-term memory,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Long short-term memory,

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T19:11:49.852011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:11:49.852011Z digest=sha256:f5cec2a4b4d6dc86e84250dc174373c8436370a8b89d5279a31ef18f5696d083

Observation d9504aff-7a50-436f-afbb-039cce85f91a · outbound

This paper cites A fast hyperplane- based minimum-volume enclosing simplex algorithm for blind hyper- spectral unmixing,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation A fast hyperplane- based minimum-volume enclosing simplex algorithm for blind hyper- spectral unmixing,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.005829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.855381Z digest=sha256:abc15301631ad5ce00e7d3183dbfad7bc47e68f58317a6ba11783f9fbe700566

Observation 865b922c-2677-4cd9-ac4d-fa92a256ddd9 · outbound

This paper cites Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and Clustering with Diffusion Geometry.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and Clustering with Diffusion Geometry

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-07T19:11:49.918817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.858369Z digest=sha256:93e483e91baacfc04ee1237e6e6fbfcdf07414b54b98ede3cc0e0585401db87a

Observation 040ec4fd-848c-449e-ab18-ec534af0cf8f · outbound

This paper cites AI-powered video monitoring: Assessing the NVIDIA Jetson Orin devices for edge com- puting applications,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation AI-powered video monitoring: Assessing the NVIDIA Jetson Orin devices for edge com- puting applications,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:49.993595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.862277Z digest=sha256:fedac124822147e567b853012b5779dbffc103e25ce429a9a8574f38466daa57

Observation 1ae2e84e-43cb-4ea0-905d-d09a624a169a · outbound

This paper cites Regularization parameter selection in minimum volume hyperspectral unmixing,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Regularization parameter selection in minimum volume hyperspectral unmixing,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:49.981908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.865977Z digest=sha256:dc02281354bcb05df73ef4a259a53959b9148019ebf5407546a590eef27d9d30

Observation 558fbc93-9319-4c0f-99e9-0fba6de26497 · outbound

This paper cites Demystifying tensorRT: Characterizing neural network inference engine on nvidia edge devices,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Demystifying tensorRT: Characterizing neural network inference engine on nvidia edge devices,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:49.969973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.869489Z digest=sha256:21f3cf440b78d755d79af5c26dc2cb589cd6bc068d1c52e3dee47df27c4a4444

Observation e8ccd881-d576-4e7c-a0b8-da3c4213e96c · outbound

This paper cites Under- standing the runtime overheads of deep learning inference on edge devices,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Under- standing the runtime overheads of deep learning inference on edge devices,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:49.957035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.873091Z digest=sha256:d7d7a196d8de4c6fcf3ba2e058dd2a2dad5c288977930a3fab1bcaf8ae9454d7

Observation 29837c95-db05-4e35-b439-727e0ba00075 · outbound

This paper cites Detecting vehicles on the edge: Knowledge distillation to improve performance in heteroge- neous road traffic,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Detecting vehicles on the edge: Knowledge distillation to improve performance in heteroge- neous road traffic,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:49.944978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:11:49.877941Z digest=sha256:226400f1edc16b0acd36632f4fbe7b7dc9c88bb3b557cf690887baef2e4dd9e7

Pith citing papers

No inbound Pith citation observations are available.