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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 8 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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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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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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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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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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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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Source-reported events for the cited work

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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.570508Z digest=sha256:3a2b97c7e2f2b7a0aeee1912a647cc91a4ff5a70b12bd32b56c2e1027c7b3543

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.574234Z digest=sha256:41089b7b27e44141cac2a9122590bb2c31e38c2ba74720263406057dfabefb9c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.576449Z digest=sha256:f9c0831c0ff7ab20948e70016ce90c5e1f22f784cc2288f7c6c421e7ddfb95d4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.579003Z digest=sha256:767214ab956ddb31513a66bc2d3077d441f9e2d5355445e375e9d40fe0d14436

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.581416Z digest=sha256:bac8cfec8a71aa37039dd19aff15ed584e2b946980d515e2a3ffffa1694c7726

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.583565Z digest=sha256:e3aa65903c526a1c568f00a72ae782fffc965c69f86807ad8764a1eec553433c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.586766Z digest=sha256:4d01055fcc5ff188b1ea5e04d8ddaa9d09e65361d9903003df5848a208145004

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.589789Z digest=sha256:dd67b4dd54d20433397040265406ed4682e54378071b55148cc4e943b3979afd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.592335Z digest=sha256:ba934309d7ce00abc747864eeaa06efaa6243b35c73b815a58ddf3e78c521d1b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.594429Z digest=sha256:de6f2376b613967b5f75817bda5f717126adec7ef5c8569518b291b86fef651a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.597744Z digest=sha256:3115de6bc27caaab248ada76b645468ddd83503071e2b798229bcb6108cba8b9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.601619Z digest=sha256:ef742ade5bce84dd927d239e069e27433752c2760e9115fc95ff0328f1641e96

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.603924Z digest=sha256:aefad4dd7375fc80772e19ab8ee56940b52814b681c087d03896faf548cee8b8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.606477Z digest=sha256:28d2f78009d70014feb9fd559df400bae1bec05041647288d05002294fefcfdf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.610163Z digest=sha256:3bece985d60a4313855204473b065f209abea422c7d388ec84558cb395a81e4b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.612121Z digest=sha256:6c415533b62554103217a36a825754cf679f2e8a6be17a26b153ea0c886e8afa

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.614225Z digest=sha256:ce407ff58599b5638b6158eab7da269faaf0942b8716a47557140e8d320ea7da

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.616351Z digest=sha256:c8c92f56dd1247b936095f60b81556ee7a8a2b2933a2a9c61eb5ac4e25f19767

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.618466Z digest=sha256:3c05e11d552dac2a0a5b0a0963b7b90f6cbd20ac0d6eed115bd6fac3fb0a3842

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.621199Z digest=sha256:f5b7bf82870280ca9b66022b008934be607000e9b9bd6370ee4ad6101c1c6b14

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.623692Z digest=sha256:1a2d149f096998079f02b8470f6792baaac0df0ab908889c692a39e31a73319c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.626219Z digest=sha256:29c6acb13757aad0008652d873f22a9a0f84fe40b60c2c57d745af58e2175bde

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.628641Z digest=sha256:fc43551392934ed186930a3bf0224514e7c066d5c38df60987cd90618dc7c772

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.631381Z digest=sha256:3895c71ce303fc91abac6968da7c7363e4c756083920ed2d28385488708e0523

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.634542Z digest=sha256:007c27e551163ec7605500f0055a343062d52a453a86fa933148e752868058b0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.637708Z digest=sha256:f177ffaf2a482679dbd2e71c843908a3782bcbd776ec2c6aa21ab8cd00845861

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.640859Z digest=sha256:31bd198030901258fa709df71ea716bdb0db98999368d00e001bd3637fb63d47

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.643894Z digest=sha256:b0b288f40b6bae8c22a0f8fc64e1de05f701522d21d79c49cd6fb94fc4c285c5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.647042Z digest=sha256:45f60cde432f5cd6ccd91f606a73c503856ed95f4adbef8784d82e49507efefc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.649802Z digest=sha256:b487815823d105a7d9be7985d5d035bfde6e1fc4e60bf37ea266ebeb8f7a7058

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.652697Z digest=sha256:e43e8eb3d14b335a1009033652e7cd5a3098060e3f771255a3e7ef897e0a3d74

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:06:58.656430Z digest=sha256:904f97342c861e5015c38c4a781beba3ad86d0d7305fa277f3fdbeb4322062b7

Pith citing papers

No inbound Pith citation observations are available.