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Paper Citation Record · LEDGER

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality

As of 24 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2507.06575.

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pith.paper-citation-record.v1
2507.06575 v1

Coverage vector

measured 62 of 62 reference resolution

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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

62 of 62 outbound references displayed

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External citation measurements

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Outbound references

Observation 7f409f74-f237-43e5-97ee-5fa43940f29d · outbound

This paper cites Sentinel-2 data for land cover/use mapping: A review,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Sentinel-2 data for land cover/use mapping: A review,

Reference 1

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Observation b0eb36fb-c1a6-4556-a5db-f5a078e513b1 · outbound

This paper cites Remote sensing for precision agriculture: Sentinel-2 improved features and applications,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Remote sensing for precision agriculture: Sentinel-2 improved features and applications,

Reference 2

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Observation ad686951-0783-47ec-9ffd-d2150bfdff99 · outbound

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

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Nonnegative blind source separation for ill-conditioned mixtures via John ellipsoid,

Reference 3

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Observation 6b9aa951-192f-4437-aa7c-21f83d22d90b · outbound

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

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Identifiability of the simplex volume minimization criterion for blind hyperspectral unmixing: The no-pure-pixel case,

Reference 4

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Observation 97976303-0f25-4a27-9141-fd95d1e01601 · outbound

This paper cites Hyperspectral change detection: An ex- perimental comparative study,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Hyperspectral change detection: An ex- perimental comparative study,

Reference 5

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Source-reported events for the cited work

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Observation 408ea17a-7da5-48bb-b2e2-e964f1b24be5 · outbound

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

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality A subspace-based change detection method for hyperspectral images,

Reference 6

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Source-reported events for the cited work

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Observation 4350e8ee-88d5-4b8a-878e-211b40d6f02d · outbound

This paper cites SuperRPCA: A collaborative superpixel representation prior-aided RPCA for hyperspectral anomaly detection,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality SuperRPCA: A collaborative superpixel representation prior-aided RPCA for hyperspectral anomaly detection,

Reference 7

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Source-reported events for the cited work

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Observation dfd6367d-6dda-49a8-b4a8-b952a1aeb2ad · outbound

This paper cites Unsupervised abundance matrix reconstruction transformer-guided fractional attention mechanism for hyperspectral anomaly detection,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Unsupervised abundance matrix reconstruction transformer-guided fractional attention mechanism for hyperspectral anomaly detection,

Reference 8

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Observation b766b5ac-5ef0-4fda-94c6-606314f72942 · outbound

This paper cites Learned Spectral Super-Resolution.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Learned Spectral Super-Resolution

Reference 9

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Source-reported events for the cited work

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Observation 7350cf05-45be-4dac-a43f-1424cbad3207 · outbound

This paper cites Spectral super-resolution meets deep learning: Achievements and challenges,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Spectral super-resolution meets deep learning: Achievements and challenges,

Reference 10

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Source-reported events for the cited work

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Observation 1ee9abf1-dc48-45cd-b4cd-31634182378c · outbound

This paper cites Spectral super-resolution via deep low- rank tensor representation,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Spectral super-resolution via deep low- rank tensor representation,

Reference 11

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Observation c74c1705-c76d-403d-9c88-3ab91ae1a410 · outbound

This paper cites Generalized assorted pixel camera: Postcapture control of resolution, dynamic range, and spectrum,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Generalized assorted pixel camera: Postcapture control of resolution, dynamic range, and spectrum,

Reference 12

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Source-reported events for the cited work

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Observation c88cbd5b-4c8e-4f48-93fb-cea08ff8d418 · outbound

This paper cites Significant remote sensing vegetation indices: A review of developments and applications,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Significant remote sensing vegetation indices: A review of developments and applications,

Reference 13

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 37fe1e38-1fe9-448d-aff1-26d380aadaa1 · outbound

This paper cites CODE-MM: Convex deep mangrove mapping algorithm based on optical satellite images,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality CODE-MM: Convex deep mangrove mapping algorithm based on optical satellite images,

Reference 14

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Source-reported events for the cited work

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Observation c695f5a3-ef26-47a0-8566-92593863a51a · outbound

This paper cites A VIRIS Data Portal,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality A VIRIS Data Portal,

Reference 15

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Source-reported events for the cited work

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Observation 97106590-7f75-4f7e-bed0-5ed05d775e13 · outbound

This paper cites Metasurface- empowered snapshot hyperspectral imaging with convex/deep (CODE) small-data learning theory,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Metasurface- empowered snapshot hyperspectral imaging with convex/deep (CODE) small-data learning theory,

Reference 16

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Observation 93021db6-5406-43b2-80a6-fad6adf77446 · outbound

This paper cites A fea- sibility study for signal-in-space design for LEO-PNT solutions with miniaturized satellites,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality A fea- sibility study for signal-in-space design for LEO-PNT solutions with miniaturized satellites,

Reference 17

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Source-reported events for the cited work

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Observation 1e3be6e4-8d4c-43bd-9add-d4c5e1adbfb8 · outbound

This paper cites All-addition hyperspectral compressed sensinging for metasurface-driven miniaturized satellite,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality All-addition hyperspectral compressed sensinging for metasurface-driven miniaturized satellite,

Reference 18

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Source-reported events for the cited work

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Observation d7ea383c-7ebb-4812-8014-2a520efd38e7 · outbound

This paper cites Advances in information processing and biological imaging using flat optics,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Advances in information processing and biological imaging using flat optics,

Reference 19

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Observation c316c22c-f2e4-4af5-b416-634070c2f0e6 · outbound

This paper cites HyperQUEEN: Hyperspectral quantum deep network for image restoration,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality HyperQUEEN: Hyperspectral quantum deep network for image restoration,

Reference 20

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Observation 66e76e26-f1e1-4ef8-befc-6d16abf70dd8 · outbound

This paper cites Quantum information- empowered graph neural network for hyperspectral change detection,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Quantum information- empowered graph neural network for hyperspectral change detection,

Reference 21

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Observation 758684a6-a24a-4c8c-bd4c-996d5a98fb35 · outbound

This paper cites Gaussian processes for under- determined source separation,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Gaussian processes for under- determined source separation,

Reference 22

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Observation cef1f409-80f6-493a-b1fa-f8df74004a25 · outbound

This paper cites PRIME: Blind multispectral unmixing using virtual quantum prism and convex geometry,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality PRIME: Blind multispectral unmixing using virtual quantum prism and convex geometry,

Reference 23

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Source-reported events for the cited work

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Observation 4e165c35-e9d8-4674-b15e-78a84f238c13 · outbound

This paper cites MST++: Multi-stage spectral-wise transformer for effi- cient spectral reconstruction,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality MST++: Multi-stage spectral-wise transformer for effi- cient spectral reconstruction,

Reference 24

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Source-reported events for the cited work

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Observation ae87ab18-37ce-4635-89df-4438a16f7378 · outbound

This paper cites Multistage spatial-spectral fusion network for spectral super-resolution,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Multistage spatial-spectral fusion network for spectral super-resolution,

Reference 25

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Source-reported events for the cited work

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Observation 20776630-0077-4b30-8f0b-fe6b3eba9aa4 · outbound

This paper cites RepCPSI: Coordinate- preserving proximity spectral interaction network with reparameteriza- tion for lightweight spectral super-resolution,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality RepCPSI: Coordinate- preserving proximity spectral interaction network with reparameteriza- tion for lightweight spectral super-resolution,

Reference 26

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Source-reported events for the cited work

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Observation 12771c46-966b-426e-a9a9-ce009462438b · outbound

This paper cites Fast reconstruction of hyperspectral image from its RGB counterpart using ADMM-Adam theory,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Fast reconstruction of hyperspectral image from its RGB counterpart using ADMM-Adam theory,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a645a1a2-fccc-4c2e-b9f3-5ecd8a3d30c2 · outbound

This paper cites Spectral-cascaded diffusion model for remote sensing image spectral super-resolution,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Spectral-cascaded diffusion model for remote sensing image spectral super-resolution,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 893ee6ef-d1c5-4227-b763-51acc8dfd624 · outbound

This paper cites Deep unfolding network for spatiospectral image super-resolution,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Deep unfolding network for spatiospectral image super-resolution,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9505490c-efd1-4721-a570-dbd3b88590f9 · outbound

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

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality ADMM-ADAM: A new inverse imaging framework blending the advantages of convex optimization and deep learning,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3f0aec3f-017d-4080-8a05-bcf5fc09d121 · outbound

This paper cites Inverse problem transform: Solving hy- perspectral inpainting via deterministic compressed sensing,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Inverse problem transform: Solving hy- perspectral inpainting via deterministic compressed sensing,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.970013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.570508Z digest=sha256:e0b2c414a1146bc198ace180a11cd3702ce8d287f4e36179b6523c1d1ba835ff

Observation efdf3198-a16e-42fc-9643-5695395d70fd · outbound

This paper cites Transformer-driven inverse problem transform for fast blind hyperspectral image dehazing,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Transformer-driven inverse problem transform for fast blind hyperspectral image dehazing,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.963498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.574234Z digest=sha256:81eae58d8bf06a18169c51c88bb3a442173efa71a0cb78f62934099b6155454c

Observation cf5ff3d7-a356-42e1-802b-6095e11146a2 · outbound

This paper cites A convex optimization- based coupled nonnegative matrix factorization algorithm for hyperspec- tral and multispectral data fusion,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality A convex optimization- based coupled nonnegative matrix factorization algorithm for hyperspec- tral and multispectral data fusion,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.953061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.576449Z digest=sha256:0917e12fe14cee9ab805172c5b1658662980b491d7899bc4c811b73cd4eeca84

Observation 89ef7251-c5fd-4731-bb40-288f914db797 · outbound

This paper cites An explicit and scene-adapted definition of convex self-similarity prior with application to unsupervised Sentinel-2 super-resolution,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality An explicit and scene-adapted definition of convex self-similarity prior with application to unsupervised Sentinel-2 super-resolution,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.944760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.579003Z digest=sha256:1e100ab72615d7ad4a196d64a2ed9fb5c85774b51ae7b5f7a15ee070df51f027

Observation 4ffbef18-6040-4c28-ba6d-3ae561693957 · outbound

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

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality HyperKING: Quantum-classical generative adversarial networks for hyperspectral image restoration,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.935715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.581416Z digest=sha256:98d8f3440596581e6eda30b707bed1d42ddadf0126f4ae522b2344fef25c60c7

Observation b98e8f23-bfa0-431e-95e9-a3a70e7d9870 · outbound

This paper cites Sentinel-2 Google Earth Engine,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Sentinel-2 Google Earth Engine,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.927734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.583565Z digest=sha256:8822081ca2a96a3fd767793b9163ca761a5e5117ce462e36720683281a453c3d

Observation de5f341b-2be7-4394-b2b0-15e8a5268b74 · outbound

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

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Hyperspectral change detection using semi- supervised graph neural network and convex deep learning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.920425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.586766Z digest=sha256:82749be31cc44ba60268ff93529518ea6d742f3cad2909df7586c493fd2a3007

Observation 65b4e1a1-6c5c-4675-a460-2c6d8e09ee58 · outbound

This paper cites Chi, W.-C.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Chi, W.-C

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.913755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.589789Z digest=sha256:98095edd7982096c3413f6762f9d2038f68020bf66dd2354cd499c34a4ba337d

Observation 271bf5c7-30e0-4ccb-9615-c9507deab191 · outbound

This paper cites CODE-IF: A convex/deep image fusion algorithm for efficient hyperspectral super-resolution,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality CODE-IF: A convex/deep image fusion algorithm for efficient hyperspectral super-resolution,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.906344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.592335Z digest=sha256:3f317fe7ef23b2571e3e142607c1e7b408f6716e6792f40a82b015ebc7fd91d2

Observation 21c5cd4a-832a-4c24-85fd-1ee2ddb7d9b8 · outbound

This paper cites Low- rank and sparse representation for hyperspectral image processing: A review,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Low- rank and sparse representation for hyperspectral image processing: A review,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.898843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.594429Z digest=sha256:0523377b4a89e0bac9fe6645262ca2cb08f5f47a6d05ac86e809049e298828b9

Observation 2bbc3a28-2fc8-4f82-aa2e-fffe2c890eb9 · outbound

This paper cites Denoising of hyperspectral images using nonconvex low rank matrix approximation,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Denoising of hyperspectral images using nonconvex low rank matrix approximation,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.890104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.597744Z digest=sha256:5c235e3a4f1291a87f301554f9c95f01ed51ff51625c7ede5e28e325a1894468

Observation 4fa95d7d-2275-419b-a9fa-74adc4bf7888 · outbound

This paper cites Signal subspace identification for incom- plete hyperspectral image with applications to various inverse problems,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Signal subspace identification for incom- plete hyperspectral image with applications to various inverse problems,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.881849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.601619Z digest=sha256:56e0231fb8a93fa6b5d8c2a2e83dbf1342618840bb6b200fb630d24cc70d6720

Observation 0db74a36-ef42-43b7-b5bb-94ec7ba5236b · outbound

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

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality A fast hyperplane- based minimum-volume enclosing simplex algorithm for blind hyper- spectral unmixing,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.873718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.603924Z digest=sha256:5498c4c4cf9bf7a4f7aa0703148076266c4ff638b3b3071ddf76b6a8a050cbe5

Observation 80db024b-585a-4af3-96e3-f76685f807aa · outbound

This paper cites Simultaneously sparse and low-rank abundance matrix estimation for hyperspectral image unmixing,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Simultaneously sparse and low-rank abundance matrix estimation for hyperspectral image unmixing,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.865777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.606477Z digest=sha256:7b59315795db3dd85cc59e3eedba2b5c9ef94fcb45df49445201df0ae617c64e

Observation 9f6cf40f-5aca-474a-b803-2603461dc066 · outbound

This paper cites Minimum-volume transforms for remotely sensed data,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Minimum-volume transforms for remotely sensed data,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.857250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.610163Z digest=sha256:e37b7a1a18ecd8e9df74e4a9fdb445e7b9820a898d58fe3d68cdeab7c09f9672

Observation d0aefd34-5887-4bb2-941d-8364110ca37d · outbound

This paper cites Hyperspectral unmixing based on mixtures of Dirichlet components,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Hyperspectral unmixing based on mixtures of Dirichlet components,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.848573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.612121Z digest=sha256:7046369fa37c96b91d518ad49f4989c997ab993909aa87c5a2eb5504b05f4414

Observation 5f6a20d0-769c-4375-a6e7-48dee4f60676 · outbound

This paper cites On the end- member identifiability of Craig’s criterion for hyperspectral unmixing: A statistical analysis for three-source case,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality On the end- member identifiability of Craig’s criterion for hyperspectral unmixing: A statistical analysis for three-source case,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.840658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.614225Z digest=sha256:b369e938e38ad5044aa7d00d2bde1981e5a031fa478171b5c60569f183508c98

Observation 8abebb53-026f-4ba5-8e31-3ea7f8b6722e · outbound

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

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Regularization parameter selection in minimum volume hyperspectral unmixing,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.833441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.616351Z digest=sha256:d52f322b748aa76fad246d0e43866c315a7562abeb54c5bab449528bccdf5cbb

Observation 26c1828a-e967-4358-9eaf-40e40b067bd8 · outbound

This paper cites Sparse unmixing of hyperspectral data,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Sparse unmixing of hyperspectral data,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.823171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.618466Z digest=sha256:a52c0cf8cd446a6fde2d4c5a95dff833075d3cb5cdf242ab71e5a6e20221652b

Observation be87d751-de2e-4844-8a84-b2e42d22c784 · outbound

This paper cites Super-resolution image re- construction: A technical overview,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Super-resolution image re- construction: A technical overview,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.815993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.621199Z digest=sha256:aec655060537fbdd0d059863595f579b1d215d74a7346e00b9c680dbfa006974

Observation 45f11543-ff42-49e2-af5d-ab809090da57 · outbound

This paper cites Learning the parts of objects by non- negative matrix factorization,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Learning the parts of objects by non- negative matrix factorization,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.807226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.623692Z digest=sha256:6693de2ea3aed43af2338519ceb45344ef1201727bca84604c5205365e8d3962

Observation 249c5dbb-2ecf-46f4-90af-0243715775c3 · outbound

This paper cites Deep image prior,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Deep image prior,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.799540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.626219Z digest=sha256:d2c6bf4efbedf536a312abc0288bdf1629db2d65ae52a6f0d3badb5f0c7465d5

Observation 7d0f637d-c68a-4acc-89a5-e091d201cda8 · outbound

This paper cites Proximal algorithms,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Proximal algorithms,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.789541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.628641Z digest=sha256:7cd2c26852fabaf00a9b2fb7b46d636a291da4d9efd95c792349dd167258c80c

Observation 0a6e8856-84b0-4feb-bce6-f152f0ed7c55 · outbound

This paper cites Plug- and-play image restoration with deep denoiser prior,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Plug- and-play image restoration with deep denoiser prior,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.781093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.631381Z digest=sha256:9f0442b199f035c0aa07c6e915b887a1d82a96a6719d9a1f686812886df6335a

Observation 9a1e0f47-293d-40aa-9915-24067e30d446 · outbound

This paper cites Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.773029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.634542Z digest=sha256:fbf12f3db991312d815e1db6ad00b12119258167cba244a4a945fc3c4106fb40

Observation 95411bd0-ae1d-4e00-8f88-ffed8beb921d · outbound

This paper cites Ridge regression,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Ridge regression,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.763946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.637708Z digest=sha256:86d2a371995b6a6941a6b68377596f9ea32eb4bc2d199f2845c9a4fd4a8b0355

Observation 4c5d7580-c6b1-4779-b79e-20e17bcab061 · outbound

This paper cites DCSN: Deep com- pressed sensinging network for efficient hyperspectral data transmission of miniaturized satellite,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality DCSN: Deep com- pressed sensinging network for efficient hyperspectral data transmission of miniaturized satellite,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.752916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.640859Z digest=sha256:4f19f1b2330adf37aa50cb16404b24b9415eac3f7ac7be1adb6cdd8d34b08b91

Observation 80cbf7d2-328c-46e3-89cf-cf44703285c6 · outbound

This paper cites ENVI 5.2,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality ENVI 5.2,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.741519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.643894Z digest=sha256:f7c243815140cd0aa1d69a1b15a5a82611c5cb1a0b333d8b4170b3e6944585da

Observation 6ab1cf7c-8066-4ae4-b981-d1702d5a463c · outbound

This paper cites Sedgewick and K.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Sedgewick and K

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.731482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.647042Z digest=sha256:d9aceb12e5bbcce11ffcd0b5e654b135c5ac4f595dc7fee37a3bc8a8c18394e3

Observation febd0cd8-78d3-4410-90c7-620724ade603 · outbound

This paper cites NTIRE 2022 spectral recovery challenge and data set,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality NTIRE 2022 spectral recovery challenge and data set,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.721221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.649802Z digest=sha256:0a6b6296eb14344813a75c3d2cefe4ad8aa8f70660d3981b9091ef90932ef8df

Observation cf866e82-cef3-41e3-85fd-93a68d9f2ebb · outbound

This paper cites A Practical Algorithm for Topic Modeling with Provable Guarantees.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality A Practical Algorithm for Topic Modeling with Provable Guarantees

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:06:58.686057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.652697Z digest=sha256:1f912fe89f3466f39f91f564bd6fe7b804b49fa11fdffe20a76b4340f6231bb7

Observation 0179383d-f064-4575-84ec-db46e52cfe61 · outbound

This paper cites Coupled nonnegative matrix factorization unmixing for hyperspectral and multispectral data fusion,.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality Coupled nonnegative matrix factorization unmixing for hyperspectral and multispectral data fusion,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:06:58.712975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:06:58.656430Z digest=sha256:26e02f159f640daaa478eb77e0116b3afb3b9449fefdb804ed59947bbd53a921

Pith citing papers

No inbound Pith citation observations are available.