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Paper Citation Record · LEDGER

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems

As of 23 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 1 inbound Pith citation observation for arXiv:2506.08596.

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

pith.paper-citation-record.v1
2506.08596 v1

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:11:13.870211Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:15:40.354870Z

measured 0 of 1 external citation measurements

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Source: pith, observed 2026-08-11T00:16:15.729268Z

Reference resolution

100 of 300 outbound references displayed

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Outbound references

Observation 1978be5a-fae5-40d4-9667-9df7fa371d1a · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 1

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Observation dc12299d-0b0b-4fed-88b9-d543a4cdbc9c · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems An image is worth 16x16 words: Transformers for image recognition at scale

Reference 2

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This paper cites Rethinking and improving relative position encoding for vision transformer.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Rethinking and improving relative position encoding for vision transformer

Reference 3

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Observation 110071ac-311a-4763-a4c2-748f7990343f · outbound

This paper cites Hyperspectral microscopy- applications of hyperspectral imaging techniques in different fields of science: a review of recent advances.Applied Spectroscopy Reviews, 0(0):1–24, 2023.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Hyperspectral microscopy- applications of hyperspectral imaging techniques in different fields of science: a review of recent advances.Applied Spectroscopy Reviews, 0(0):1–24, 2023

Reference 4

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Observation 0fc249c0-512a-42ce-904b-f820e8a971ee · outbound

This paper cites Spatial-spectral transformer for hyperspectral image classification.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Spatial-spectral transformer for hyperspectral image classification

Reference 5

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Unresolved cited work

Reference 6

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This paper cites Masked autoencoders are scalable vision learners.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Masked autoencoders are scalable vision learners

Reference 7

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Unresolved cited work

Reference 8

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This paper cites Multi-branch self-learning vision transformer (msvit) for crop type mapping with optical-sar time-series.Computers and Electronics in Agriculture, 203:107497, 2022.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Multi-branch self-learning vision transformer (msvit) for crop type mapping with optical-sar time-series.Computers and Electronics in Agriculture, 203:107497, 2022

Reference 9

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Observation 41f97ff2-c83f-44a6-b2ad-b7abc729c6cb · outbound

This paper cites Top-tuning on transformers and data augmentation transferring for boosting the performance of weed identification.Computers and Electronics in Agriculture, 211:108055, 2023.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Top-tuning on transformers and data augmentation transferring for boosting the performance of weed identification.Computers and Electronics in Agriculture, 211:108055, 2023

Reference 10

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Observation 0dcc3064-8df8-439f-a4ca-91e06c524848 · outbound

This paper cites Self-supervised pretraining of transformers for satellite image time series classification.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Self-supervised pretraining of transformers for satellite image time series classification

Reference 11

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Observation bf80d598-55d8-41f6-8782-5836da518d54 · outbound

This paper cites Spectral–spatial feature tokenization transformer for hyperspectral image classification.IEEE Transactions on Geoscience and Remote Sensing, 60:1–14, 2022.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Spectral–spatial feature tokenization transformer for hyperspectral image classification.IEEE Transactions on Geoscience and Remote Sensing, 60:1–14, 2022

Reference 12

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This paper cites Deep spatial–spectral representation learning for hyperspectral image denoising.IEEE Transactions on Computational Imaging, 5(4):635–648, Dec 2019.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Deep spatial–spectral representation learning for hyperspectral image denoising.IEEE Transactions on Computational Imaging, 5(4):635–648, Dec 2019

Reference 13

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Observation 04827a7b-f2bd-4908-b2ed-c0bb5154aa56 · outbound

This paper cites Spectral-spatial-aware transformer fusion network for hyperspectral object tracking.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Spectral-spatial-aware transformer fusion network for hyperspectral object tracking

Reference 14

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Observation 7954cecc-a57d-46f4-9db6-737e1b60c435 · outbound

This paper cites Exploring the collaboration between convolutional neural networks and transformers in hyperspectral image classification.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Exploring the collaboration between convolutional neural networks and transformers in hyperspectral image classification

Reference 15

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Unresolved cited work

Reference 16

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Observation effcd053-0720-4501-ba1c-71d1e2f33d22 · outbound

This paper cites Hyperspectral image classification based on spectrally-enhanced and densely connected transformer model.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Hyperspectral image classification based on spectrally-enhanced and densely connected transformer model

Reference 17

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Observation 0c9e9d5f-dbbe-4e7b-bd8d-afa454d14e48 · outbound

This paper cites A 3-d-swin transformer-based hierarchical contrastive learning method for hyperspectral image classification.IEEE Transactions on Geoscience and Remote Sensing, 60:1–15, 2022.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems A 3-d-swin transformer-based hierarchical contrastive learning method for hyperspectral image classification.IEEE Transactions on Geoscience and Remote Sensing, 60:1–15, 2022

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Observation 37f2382a-bec4-4156-83f6-811efc18ee0f · outbound

This paper cites Exploring simple siamese representation learning, 2020.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Exploring simple siamese representation learning, 2020

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Observation 834a74a9-6650-4e50-b712-3ae9644e1249 · outbound

This paper cites Bootstrap your own latent - a new approach to self-supervised learning.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Bootstrap your own latent - a new approach to self-supervised learning

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Observation fde1044b-0cd2-4940-9559-eb457d338d80 · outbound

This paper cites A simple framework for contrastive learning of visual representations, 2020.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems A simple framework for contrastive learning of visual representations, 2020

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This paper cites Momentum contrast for unsupervised visual representation learning.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Momentum contrast for unsupervised visual representation learning

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Observation f72ffa8b-0b81-449f-b020-937b1e6ff6d8 · outbound

This paper cites Whitening for self-supervised representation learning, 2021.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Whitening for self-supervised representation learning, 2021

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This paper cites Unsupervised learning of visual features by contrasting cluster assignments, 2021.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Unsupervised learning of visual features by contrasting cluster assignments, 2021

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Observation f3665b65-022e-4970-a47d-9d9504a75e2a · outbound

This paper cites Deep clustering for unsupervised learning of visual features, 2019.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Deep clustering for unsupervised learning of visual features, 2019

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Observation 221cb9ff-31c2-4c5a-9ef8-87eea456c578 · outbound

This paper cites Representation learning with contrastive predictive coding, 2019.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Representation learning with contrastive predictive coding, 2019

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This paper cites Vicreg: Variance-invariance-covariance regularization for self- supervised learning, 2021.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Vicreg: Variance-invariance-covariance regularization for self- supervised learning, 2021

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This paper cites Barlow twins: Self-supervised learning via redundancy reduction, 2021.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Barlow twins: Self-supervised learning via redundancy reduction, 2021

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This paper cites On feature decorrelation in self-supervised learning, 2021.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems On feature decorrelation in self-supervised learning, 2021

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Yu, and Dahua Lin

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This paper cites Hsi-transunet: A trans- former based semantic segmentation model for crop mapping from uav hyperspectral imagery.Computers and Electronics in Agriculture, 201:107297, 2022.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Hsi-transunet: A trans- former based semantic segmentation model for crop mapping from uav hyperspectral imagery.Computers and Electronics in Agriculture, 201:107297, 2022

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Unresolved cited work

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This paper cites From center to surrounding: An interactive learning framework for hyperspectral image classification.ISPRS Journal of Photogrammetry and Remote Sensing, 197:145–166, 2023.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems From center to surrounding: An interactive learning framework for hyperspectral image classification.ISPRS Journal of Photogrammetry and Remote Sensing, 197:145–166, 2023

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This paper cites Pixel-wise mechanical damage detection of waxy maize using spectral–spatial feature extraction and hyperspectral image.Computers and Electronics in Agriculture, 209:107853, 2023.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Pixel-wise mechanical damage detection of waxy maize using spectral–spatial feature extraction and hyperspectral image.Computers and Electronics in Agriculture, 209:107853, 2023

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Unresolved cited work

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Hyperspectral unmixing using transformer network.IEEE Transactions on Geoscience and Remote Sensing, 60:1–16, 2022

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Multimodal fusion transformer for remote sensing image classification.IEEE Transactions on Geoscience and Remote Sensing, 61:1–20, 2023

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Translution-snet: A semisupervised hyperspectral image stripe noise removal based on transformer and cnn.IEEE Transactions on Geoscience and Remote Sensing, 60:1–14, 2022

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Masked auto-encoding spec- tral–spatial transformer for hyperspectral image classification.IEEE Transactions on Geoscience and Remote Sensing, 60:1–14, 2022

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Observation b9775722-a78f-437c-a3eb-35da575fb217 · outbound

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Cross-scale mixing attention for multisource remote sensing data fusion and classification.IEEE Transactions on Geoscience and Remote Sensing, 61:1–15, 2023

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Grafting transformer on automatically designed convolutional neural network for hyperspectral image classification.IEEE Transactions on Geoscience and Remote Sensing, 60:1–16, 2022

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Observation bf658ce2-fabe-4ef5-bb57-fc369a941fea · outbound

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Observation bfa9e262-c200-40ac-b070-f89c2fda037f · outbound

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Local semantic feature aggregation-based transformer for hyperspectral image classification.IEEE Transactions on Geoscience and Remote Sensing, 60:1–15, 2022

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Observation 8ab38dcb-4f2c-4960-bf9a-c3e98b2b4b76 · outbound

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Spatial–spectral transformer with cross- attention for hyperspectral image classification.IEEE Transactions on Geoscience and Remote Sensing, 60:1–15, 2022

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Observation 8b5bd638-6a11-41db-9000-d2c2ce5b9ecb · outbound

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Tftn: A transformer-based fusion tracking framework of hyperspectral and rgb.IEEE Transactions on Geoscience and Remote Sensing, 60:1–15, 2022

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Observation aa5cde82-26f4-48a4-8eee-3d28870c3e39 · outbound

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Hsi-mixer: Hyperspectral image classification using the spectral–spatial mixer representation from convolutions.IEEE Geoscience and Remote Sensing Letters, 19:1–5, 2022

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Observation 5249ca3c-a2e5-496c-821f-e64512adb6fe · outbound

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Observation 9f3a5450-621a-46a8-bfa0-3f0182a0b932 · outbound

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Local–global feature-aware transformer based residual network for hyperspectral image denoising.IEEE Transactions on Geoscience and Remote Sensing, 60:1–19, 2022

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Observation 01c68cd1-3503-446f-9e37-271c4d3ffb3c · outbound

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Microscopic hyperspectral image classification based on fusion transformer with parallel cnn.IEEE Journal of Biomedical and Health Informatics, 27(6):2910–2921, June 2023

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Observation f1d3b3f1-2c4e-4ad5-9f5b-b21ac27d3458 · outbound

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems A model-inspired approach with transformers for hyperspectral pansharpening.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15:7187–7202, 2022

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Observation 6593e80f-4860-4b53-ae7e-314389690f61 · outbound

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Observation 1f09000e-2ee5-41b3-b5e4-229a2619ad5b · outbound

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Observation f737f9cf-90e1-42cd-997a-7f9b006a521e · outbound

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Cdformer: A hyperspectral image change detection method based on transformer encoders.IEEE Geoscience and Remote Sensing Letters, 19:1–5, 2022

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Observation 8db7bb53-e9f1-4103-87db-d99ad58e1566 · outbound

This paper cites Csit: A multiscale vision transformer for hyperspectral image classification.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15:9266–9277, 2022.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Csit: A multiscale vision transformer for hyperspectral image classification.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15:9266–9277, 2022

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Observation eeda0f6f-bacd-4d1b-b631-20c5b3659e38 · outbound

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Convolution transformer fusion splicing network for hyperspectral image classification.IEEE Geoscience and Remote Sensing Letters, 20:1–5, 2023

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Double attention transformer for hyperspectral image classification.IEEE Geoscience and Remote Sensing Letters, 20:1–5, 2023

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Observation 39ee4dcf-059d-4d34-b7a7-a3bc428a8880 · outbound

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This paper cites an unresolved cited work.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Unresolved cited work

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Observation b5ba4210-639d-430f-9b25-f81448367f3d · outbound

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Hyperspectral image classification using hierarchical spatial-spectral transformer

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Observation 7d1e9909-9487-4674-b2b1-7aab6ff2ce5b · outbound

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Observation 8b276ff3-fe29-4628-8f5a-9af31341889a · outbound

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Observation 3142eb02-c279-4edf-8902-9e9451a83a1a · outbound

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Self-supervised feature learning for multimodal remote sensing image land cover classification.IEEE Transactions on Geoscience and Remote Sensing, 60:1–15, 2022

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Observation 0816e18d-638b-45b8-8eef-ea23b8a6710c · inbound

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