Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:50:47.635806Z
Paper Citation Record · LEDGER
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark
As of 24 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2412.14925.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
47 of 47 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d92f21b9-fe9a-4e9b-aec7-9abc23d49e4a · outbound
This paper cites Auto white-balance correction for mixed-illuminant scenes.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Auto white-balance correction for mixed-illuminant scenes
Reference 1
- Resolution
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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.
Observation 912233f0-4e7b-4beb-b3f6-cf1ca339abf7 · outbound
This paper cites Sparse recovery of hyper- spectral signal from natural rgb images.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Sparse recovery of hyper- spectral signal from natural rgb images
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:48.159060Z
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.
Observation 154de62a-025c-4a38-ab85-32d2a66359a1 · outbound
This paper cites Ntire 2022 spectral recovery chal- lenge and data set.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Ntire 2022 spectral recovery chal- lenge and data set
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:48.147268Z
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.
Observation df4f0805-5e64-4b89-9f02-d6709d25ddab · outbound
This paper cites Character- ization of soil properties using reflectance spectroscopy.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Character- ization of soil properties using reflectance spectroscopy
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:48.136577Z
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.
Observation 7127c034-ee80-4417-b6b0-1b306804fa70 · outbound
This paper cites A spatial processor model for object colour perception.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark A spatial processor model for object colour perception
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bb00d89e-f158-4ede-a0cb-c87ed51b344e · outbound
This paper cites Atomic spectrometry up- date: review of advances in the analysis of metals, chemicals and materials.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Atomic spectrometry up- date: review of advances in the analysis of metals, chemicals and materials
Reference 6
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b71bb104-9879-4edc-ae92-c653ec7edb63 · outbound
This paper cites Statistics of real-world hyperspectral images.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Statistics of real-world hyperspectral images
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:48.103984Z
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.
Observation 7bd2da7a-e775-4df6-8740-ee2e75318b15 · outbound
This paper cites Exploring the applica- bility of spectral recovery in semantic segmentation of rgb images.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Exploring the applica- bility of spectral recovery in semantic segmentation of rgb images
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:48.092861Z
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.
Observation b6c145b9-e129-4eaa-a81a-362e3c4dd117 · outbound
This paper cites Image analysis operations applied to hyperspectral images for non-invasive sensing of food quality–a comprehensive review.Biosystems engineering, 142:53–82, 2016.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Image analysis operations applied to hyperspectral images for non-invasive sensing of food quality–a comprehensive review.Biosystems engineering, 142:53–82, 2016
Reference 9
- Resolution
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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.
Observation 21513d22-1db6-45be-b9ae-e58604c8a6d8 · outbound
This paper cites Two-stage deep learning framework for srgb image white balance.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Two-stage deep learning framework for srgb image white balance
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:48.071506Z
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.
Observation 6651995e-321c-49eb-a4b3-1cb5c5851482 · outbound
This paper cites an unresolved cited work.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Unresolved cited work
Reference 11
- Resolution
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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.
Observation d37be4bc-5b2d-46b5-9ce5-532b668d030f · outbound
This paper cites Digital Image Processing.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Digital Image Processing
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:48.049211Z
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.
Observation 2aeedba8-988c-4e0c-af46-524d81f13983 · outbound
This paper cites Hybrid convolutional and attention network for hyper- spectral image denoising.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Hybrid convolutional and attention network for hyper- spectral image denoising
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:48.037657Z
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.
Observation 24d868c2-df2f-4e76-8613-9ac75cb57ede · outbound
This paper cites Deterministic neural illumination mapping for efficient auto- white balance correction.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Deterministic neural illumination mapping for efficient auto- white balance correction
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:48.025575Z
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.
Observation ebe1ba47-0749-4d2b-b8a5-cf796db14162 · outbound
This paper cites Modeling the lighting in scenes as style for auto white- balance correction.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Modeling the lighting in scenes as style for auto white- balance correction
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:48.012910Z
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.
Observation cf223c3a-f1cd-4e6b-8819-e1f54cef0b48 · outbound
This paper cites Goniometric measurements of a spray-painted barium sulfate reference panel.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Goniometric measurements of a spray-painted barium sulfate reference panel
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:48.000937Z
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.
Observation 31fbf444-d866-4091-a146-afc47b0a8e0d · outbound
This paper cites Spec- tral mvir: Joint reconstruction of 3d shape and spectral re- flectance.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Spec- tral mvir: Joint reconstruction of 3d shape and spectral re- flectance
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.990718Z
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.
Observation fcb4bee0-2d24-43c7-8218-0c2ad3ed80d9 · outbound
This paper cites Swbnet: a stable white balance network for srgb im- ages.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Swbnet: a stable white balance network for srgb im- ages
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.981102Z
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.
Observation 6e1b77e2-5643-4e75-a3bc-6c50a3e98917 · outbound
This paper cites Spectral enhanced rectangle transformer for hyperspectral image denoising.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Spectral enhanced rectangle transformer for hyperspectral image denoising
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.970360Z
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.
Observation f5426cdd-74d3-453f-95b4-218cb4735640 · outbound
This paper cites Hyperspectral image denoising based on the similar spectra approaching.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Hyperspectral image denoising based on the similar spectra approaching
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f5c7b055-054e-4e56-b2f6-1e894a558b0f · outbound
This paper cites Spectroscopic ellipsometry and polarimetry for materials and systems analysis at the nanometer scale: state-of-the-art, potential, and perspectives.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Spectroscopic ellipsometry and polarimetry for materials and systems analysis at the nanometer scale: state-of-the-art, potential, and perspectives
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.946827Z
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.
Observation 3c661f2b-9741-487c-9d3a-00cbd058bc9a · outbound
This paper cites A technique for re- flectance calibration of airborne hyperspectral spectrometer data using a broad, multiband radiometer.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark A technique for re- flectance calibration of airborne hyperspectral spectrometer data using a broad, multiband radiometer
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.935810Z
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.
Observation 71be070f-307e-4fbe-8ea9-d161d544f137 · outbound
This paper cites Enabling hyperspectral imaging in diverse illumi- nation conditions for indoor applications.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Enabling hyperspectral imaging in diverse illumi- nation conditions for indoor applications
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.925009Z
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.
Observation 4d78585c-1538-4ff3-bd59-975dc2fe6ece · outbound
This paper cites Mul- tiscale adaptive fusion network for hyperspectral image de- noising.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Mul- tiscale adaptive fusion network for hyperspectral image de- noising
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.913639Z
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.
Observation 37e175a9-675b-4814-85f4-463760d3bb39 · outbound
This paper cites Angular and seasonal variation of spectral surface reflectance ratios: Implications for the remote sensing of aerosol over 10 land.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Angular and seasonal variation of spectral surface reflectance ratios: Implications for the remote sensing of aerosol over 10 land
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.902769Z
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.
Observation 32911461-5bab-44d7-b398-1199d02cc878 · outbound
This paper cites U- net: Convolutional networks for biomedical image segmen- tation.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark U- net: Convolutional networks for biomedical image segmen- tation
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:50:47.558634Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc22ceed-7986-434c-8120-b7301ecfad83 · outbound
This paper cites A new approach for the analysis of hyperspectral data: Theory and sensitivity analysis of the moment distance method.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark A new approach for the analysis of hyperspectral data: Theory and sensitivity analysis of the moment distance method
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.884454Z
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.
Observation 89d7fcdf-ce89-425a-b581-990afab87cfe · outbound
This paper cites Specim - Hyperspectral Imaging Cameras and Systems.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Specim - Hyperspectral Imaging Cameras and Systems
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.873730Z
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.
Observation 1d70834b-e9d9-4825-9583-8d52af7a7b5e · outbound
This paper cites Quality of high resolution synthesized images: Is there a simple criterion? In Proceedings of the Third Con- ference ”Fusion of Earth Data”, pages 99–103, 2000.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Quality of high resolution synthesized images: Is there a simple criterion? In Proceedings of the Third Con- ference ”Fusion of Earth Data”, pages 99–103, 2000
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 47c3f726-c110-4d2e-a5af-05bf9b03a5c4 · outbound
This paper cites Image quality assessment: From error visibility to structural similarity.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Image quality assessment: From error visibility to structural similarity
Reference 30
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db200c5f-d628-4d14-81a3-c4d8868a874e · outbound
This paper cites Uformer: A general u-shaped transformer for image restoration.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Uformer: A general u-shaped transformer for image restoration
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.844444Z
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.
Observation 1e596cee-5ed4-4115-a1ea-b24184074799 · outbound
This paper cites Generalized assorted pixel camera: post- capture control of resolution, dynamic range, and spectrum.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Generalized assorted pixel camera: post- capture control of resolution, dynamic range, and spectrum
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.830733Z
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.
Observation 4714b6d2-f8a1-418b-bd73-94bb6588cc6e · outbound
This paper cites Discrimination among semi-arid landscape endmem- bers using the spectral angle mapper (sam) algorithm.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Discrimination among semi-arid landscape endmem- bers using the spectral angle mapper (sam) algorithm
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.820633Z
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.
Observation a40a9c4f-835d-413b-9efc-3985a705bdd7 · outbound
This paper cites Hyperspectral image de- noising: From model-driven, data-driven, to model-data- driven.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Hyperspectral image de- noising: From model-driven, data-driven, to model-data- driven
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.810056Z
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.
Observation f1c32bca-849e-4814-84ee-4cf7c06a557b · outbound
This paper cites We conduct experiments on both the BJTU-UV A and BJTU-UV A-E datasets.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark We conduct experiments on both the BJTU-UV A and BJTU-UV A-E datasets
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.799356Z
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.
Observation 313b3be2-16c9-4be9-9858-6cf48f5a0629 · outbound
This paper cites The definitions and spec- tra of these illumination settings are illustrated in Fig.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark The definitions and spec- tra of these illumination settings are illustrated in Fig
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.788906Z
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.
Observation 20d8f059-63cb-4926-a85f-09ccb286e05f · outbound
This paper cites 7 and Fig.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark 7 and Fig
Reference 37
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-11T11:50:47.777691Z
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.
Observation 6917a599-b8c7-44c8-9442-c3a194437fb9 · outbound
This paper cites Comparison of public hyperspectral image datasets.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Comparison of public hyperspectral image datasets
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.766314Z
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.
Observation 04aa95d4-a3cb-49c9-b1ce-d9fe2acb0cd2 · outbound
This paper cites an unresolved cited work.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T11:50:47.755161Z
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.
Observation 9e6c0fc8-62bf-48af-90eb-0b6232e4f29c · outbound
This paper cites Statistics of real-world hyperspectral images.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Statistics of real-world hyperspectral images
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.744305Z
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.
Observation c53100ee-95b9-4830-b64c-72e4b25ded45 · outbound
This paper cites Prasad, and Michael S.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Prasad, and Michael S
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.734035Z
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.
Observation a63c12f5-91c1-4649-bcf4-2e939f9621b8 · outbound
This paper cites Sparse recov- ery of hyperspectral signal from natural RGB images.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Sparse recov- ery of hyperspectral signal from natural RGB images
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.723063Z
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.
Observation 2d5d2fc1-8dbc-4931-8229-58cad5ece37e · outbound
This paper cites NTIRE 2018 challenge on spectral reconstruction from RGB images.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark NTIRE 2018 challenge on spectral reconstruction from RGB images
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.710830Z
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.
Observation e68c3879-534e-4d0b-bc04-e5e1e1ed3fc2 · outbound
This paper cites Finlayson.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Finlayson
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.699599Z
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.
Observation 12e649f5-bace-4c5a-8af0-2482c931795f · outbound
This paper cites NTIRE 2022 spectral recov- ery challenge and dataset.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark NTIRE 2022 spectral recov- ery challenge and dataset
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.689747Z
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.
Observation 7e9939e6-cc20-4dd0-83b9-bf82c9c27dec · outbound
This paper cites Exploring the applicabil- ity of spectral recovery in semantic segmentation of RGB images.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark Exploring the applicabil- ity of spectral recovery in semantic segmentation of RGB images
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.679597Z
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.
Observation bf5a0a45-dc10-459b-9532-5adadd486bc4 · outbound
This paper cites ES- SAformer: Efficient transformer for hyperspectral im- age super-resolution.
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark ES- SAformer: Efficient transformer for hyperspectral im- age super-resolution
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:50:47.669110Z
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Pith citing papers
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