Paper Citation Record · LEDGER

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging

As of 19 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2504.19279.

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

pith.paper-citation-record.v1
2504.19279 v1

Coverage vector

measured 47 of 47 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Outbound references

Observation 7d7eec6b-155d-454a-aff7-73cebe9bdb6c · outbound

This paper cites Mixchannel: Advanced augmentation for multispectral satellite images,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Mixchannel: Advanced augmentation for multispectral satellite images,

Reference 1

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Observation 6dc03f23-0761-435d-918e-77fe92bd23bb · outbound

This paper cites Evaluation of the hyperspectral monitoring method capabilities for forests areas,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Evaluation of the hyperspectral monitoring method capabilities for forests areas,

Reference 2

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Observation 1d4a5288-fa7a-49f7-a2c6-e80c5cca72f6 · outbound

This paper cites The method of repre- senting grayscale images in pseudo color using equal-contrast color space,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging The method of repre- senting grayscale images in pseudo color using equal-contrast color space,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:00:15.956894Z

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Observation 525466d9-e0fb-45c8-8eb9-dccfb29f2efe · outbound

This paper cites Video stabilization quality assessment method based on k-means in hsv color space,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Video stabilization quality assessment method based on k-means in hsv color space,

Reference 4

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Observation 2d0af39a-0ecf-41c9-b920-8ddf107da8ea · outbound

This paper cites Evaluation of leaf chlorophyll content from acousto-optic hyperspectral data: A multi-crop study,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Evaluation of leaf chlorophyll content from acousto-optic hyperspectral data: A multi-crop study,

Reference 5

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Observation 6fd1962f-d75b-4509-ba13-3dca3eb35c1a · outbound

This paper cites Mivar’s approach to detailed description of knowledge for the academic subject “rocket and space manufacturing technolo- gies.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Mivar’s approach to detailed description of knowledge for the academic subject “rocket and space manufacturing technolo- gies

Reference 6

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Observation 23ee4dad-eb14-438e-a9b5-3840f2b61ae5 · outbound

This paper cites Hyperspectral image super-resolution meets deep learning: A survey and perspective,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Hyperspectral image super-resolution meets deep learning: A survey and perspective,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:00:15.914886Z

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Observation 74f494e9-fa85-41a1-9f92-2fd1c6809f5a · outbound

This paper cites Bands sensitive convolutional network for hyperspec- tral image classification,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Bands sensitive convolutional network for hyperspec- tral image classification,

Reference 8

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Observation 8899a6fc-409b-4895-8ca9-0e443c35df11 · outbound

This paper cites Ikeuchi, Computer vision: A reference guide.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Ikeuchi, Computer vision: A reference guide

Reference 9

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Observation 3b8ccbbc-21f5-4b14-bff4-ac708ac3a564 · outbound

This paper cites The role of hyperspectral imaging: A literature review,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging The role of hyperspectral imaging: A literature review,

Reference 10

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Observation fdb79024-6b3b-4dd6-8772-44b0b9a2cea1 · outbound

This paper cites A review on the combination of deep learning techniques with proximal hyperspectral images in agriculture,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging A review on the combination of deep learning techniques with proximal hyperspectral images in agriculture,

Reference 11

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Observation b26e6aeb-821a-4f33-822c-1b53388f1ce1 · outbound

This paper cites Automatic apple recognition based on the fusion of color and 3D feature for robotic fruit picking,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Automatic apple recognition based on the fusion of color and 3D feature for robotic fruit picking,

Reference 12

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Observation c3beed0c-0fb7-4957-b14f-c49981a39f01 · outbound

This paper cites an unresolved cited work.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Unresolved cited work

Reference 13

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Observation f11056e9-16ff-4adf-ad98-c020219b3de1 · outbound

This paper cites Land use and land cover classification with hyper- spectral data: A comprehensive review of methods, challenges and future directions,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Land use and land cover classification with hyper- spectral data: A comprehensive review of methods, challenges and future directions,

Reference 14

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Observation ea5023b7-4f0c-43b9-9afb-e28a9149639c · outbound

This paper cites Bs-nets: An end-to-end framework for band selection of hyper- spectral image,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Bs-nets: An end-to-end framework for band selection of hyper- spectral image,

Reference 15

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Observation d2497aad-0669-4a55-bc12-c4bb44a64ac4 · outbound

This paper cites Attend in bands: Hyperspectral band weighting and selection for image classification,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Attend in bands: Hyperspectral band weighting and selection for image classification,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:00:15.802050Z

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Observation 55679420-e3c9-49c9-a34e-7442ebf13c5f · outbound

This paper cites Lidar-guided cross-attention fusion for hyperspectral band selection and image classification,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Lidar-guided cross-attention fusion for hyperspectral band selection and image classification,

Reference 17

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Observation de48cb95-3508-407d-ad66-87b86bee1e0c · outbound

This paper cites Hyperspectral band selection: A review,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Hyperspectral band selection: A review,

Reference 18

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Observation 86b030d6-d245-4633-8a91-ff06f17c12c9 · outbound

This paper cites Attention is all you need,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Attention is all you need,

Reference 19

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Observation 90b27c4f-e7a4-468f-bcf9-0caaa4a0763b · outbound

This paper cites Transformers in remote sensing: A survey,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Transformers in remote sensing: A survey,

Reference 20

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Source-reported events for the cited work

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Observation 7db75a92-e565-40b6-b576-f32a2a6948cb · outbound

This paper cites Spectralformer: Rethinking hyperspectral image classification with transformers,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Spectralformer: Rethinking hyperspectral image classification with transformers,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:00:15.740810Z

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Observation 08050321-4617-4645-b2c5-5c0e95573354 · outbound

This paper cites Hsi-bert: Hyperspectral image classifica- tion using the bidirectional encoder representation from transformers,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Hsi-bert: Hyperspectral image classifica- tion using the bidirectional encoder representation from transformers,

Reference 22

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Observation f21df8c3-c5d6-4550-b84c-77993ef81d42 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 23

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Observation fab579ad-d9f4-4fe8-acc4-4bce316231cf · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 24

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Observation a9e5cd2b-cdcc-4df7-b622-939db2e63aea · outbound

This paper cites Optimal mri undersampling patterns for ultimate benefit of medical vision tasks,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Optimal mri undersampling patterns for ultimate benefit of medical vision tasks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:00:15.712007Z

Source-reported events for the cited work

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Observation 5ec65434-e1f6-4283-89e2-8ff89532b721 · outbound

This paper cites Learning compact and discriminative stacked autoencoder for hyperspectral image classification,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Learning compact and discriminative stacked autoencoder for hyperspectral image classification,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:00:15.697875Z

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Observation bf8d528f-fcfe-41bd-a6ca-7abfe3187f18 · outbound

This paper cites Convolutional neural networks for hyperspectral image classification,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Convolutional neural networks for hyperspectral image classification,

Reference 27

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Source-reported events for the cited work

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Observation 1d1e861d-7d0a-4cb7-b42b-ea7063b8cde5 · outbound

This paper cites Deep recurrent neural networks for hyperspectral image classification,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Deep recurrent neural networks for hyperspectral image classification,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:00:15.674186Z

Source-reported events for the cited work

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Observation 05375072-6f5b-4732-a409-98b76eaa50e5 · outbound

This paper cites Generative adversarial networks for hyperspectral image classification,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Generative adversarial networks for hyperspectral image classification,

Reference 29

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Observation ba2ffcc4-d0d8-4ba8-9745-f03750b7fbdb · outbound

This paper cites Capsule networks for hyperspectral image classification,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Capsule networks for hyperspectral image classification,

Reference 30

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Observation 48924a34-1f0b-4d57-b1b5-2315aa35f116 · outbound

This paper cites Recognition of forest damage from sentinel-2 satellite images using u-net, randomforest and xgboost,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Recognition of forest damage from sentinel-2 satellite images using u-net, randomforest and xgboost,

Reference 31

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Observation 353c634c-9539-4cbd-819d-8c34665b2682 · outbound

This paper cites Using neural networks and machine learning methods to detect clearcut regions in sentinel–2 satellite imagery,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Using neural networks and machine learning methods to detect clearcut regions in sentinel–2 satellite imagery,

Reference 32

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Observation c4e5379b-b2c9-4db2-acba-dade0f8bc1c6 · outbound

This paper cites Identification of logged and windthrow areas from sentinel-2 satellite images using the u-net convolutional neural network and factors affecting its accuracy,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Identification of logged and windthrow areas from sentinel-2 satellite images using the u-net convolutional neural network and factors affecting its accuracy,

Reference 33

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Observation 3fed7972-bc0d-4897-a449-0c2189eda09d · outbound

This paper cites Hyperspectral image classification with deep learning models,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Hyperspectral image classification with deep learning models,

Reference 34

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Observation eb851f62-18e4-47a8-bcd3-c6103d281339 · outbound

This paper cites Multi-scale 3d deep convolutional neural network for hyperspec- tral image classification,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Multi-scale 3d deep convolutional neural network for hyperspec- tral image classification,

Reference 35

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Observation 080aa46e-aabf-445f-a86a-556570b7f286 · outbound

This paper cites DeepViT: Towards Deeper Vision Transformer.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging DeepViT: Towards Deeper Vision Transformer

Reference 36

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Source-reported events for the cited work

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Observation a414deae-7ff0-4137-a0cd-8e263d1ef349 · outbound

This paper cites Tokens-to-token vit: Training vision transformers from scratch on imagenet,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Tokens-to-token vit: Training vision transformers from scratch on imagenet,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:00:15.601881Z

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Observation edea477e-1a4b-4bfb-bfe2-36059e209cd8 · outbound

This paper cites Levit: a vision transformer in convnet’s clothing for faster inference,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Levit: a vision transformer in convnet’s clothing for faster inference,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:00:15.585844Z

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Observation 8b39772d-76b5-4d96-828d-9aa038621078 · outbound

This paper cites Hyperspectral image transformer classification net- works,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Hyperspectral image transformer classification net- works,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:00:15.571143Z

Source-reported events for the cited work

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Observation 79f386e0-6c37-4c0e-bdbb-156df3336a8e · outbound

This paper cites Multiscale Convolutional Transformer with Center Mask Pretraining for Hyperspectral Image Classification.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Multiscale Convolutional Transformer with Center Mask Pretraining for Hyperspectral Image Classification

Reference 40

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Source-reported events for the cited work

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Observation cad11823-9be5-40fd-9ede-0b3f1abd0658 · outbound

This paper cites Spectral–spatial feature tokenization transformer for hyperspectral image classification,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Spectral–spatial feature tokenization transformer for hyperspectral image classification,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:00:15.557093Z

Source-reported events for the cited work

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Observation fbf8e74f-ddee-4d6a-ba58-b73f2c4aa048 · outbound

This paper cites Hungry Hungry Hippos: Towards Language Modeling with State Space Models.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Hungry Hungry Hippos: Towards Language Modeling with State Space Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T06:00:15.045426Z

Source-reported events for the cited work

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Observation 1f839d6b-0fa4-4125-879b-7b09ac872e8f · outbound

This paper cites Certification of speaker recognition models to additive perturbations,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Certification of speaker recognition models to additive perturbations,

Reference 43

Resolution: verified exact; doi, observed 2026-08-16T06:00:15.103954Z

Source-reported events for the cited work

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Observation 541a5c11-c3f9-4cfa-97b0-0d4b2c82db38 · outbound

This paper cites Noise-robust hyperspectral image classification via multi-scale total variation,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Noise-robust hyperspectral image classification via multi-scale total variation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:00:15.542880Z

Source-reported events for the cited work

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

Observation 8c5499a9-df08-494b-995b-50f08261b498 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T06:00:15.057972Z

Source-reported events for the cited work

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Observation dea4e688-fa42-4d60-98da-3183edaba5bd · outbound

This paper cites The airborne visible/infrared imaging spectrometer (aviris),.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging The airborne visible/infrared imaging spectrometer (aviris),

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T06:00:15.062432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76456adb-3de0-459a-a4ce-777f90c5fa27 · outbound

This paper cites Multispec: A freeware multispectral image data analysis system,.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Multispec: A freeware multispectral image data analysis system,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:00:15.527221Z

Source-reported events for the cited work

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

Pith citing papers

No inbound Pith citation observations are available.