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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 0 inbound Pith citation observations 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

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measured 100 of 300 reference resolution

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

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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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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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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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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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Observation aba66b34-aff9-4a3c-85c3-0b3e310df590 · outbound

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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Observation 0dbcf35e-a523-4480-b9b0-3711f5b1fceb · outbound

This paper cites Grafting transformer on automatically designed convolutional neural network for hyperspectral image classification.IEEE Transactions on Geoscience and Remote Sensing, 60:1–16, 2022.

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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source=pdf_text observed=2026-08-07T05:11:13.767734Z digest=sha256:06bd5fc9cc818c06ce4fe5a00e675e96c1b88c2f5fd29cd1fae773915a334388

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

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source=pdf_text observed=2026-08-07T05:11:13.771831Z digest=sha256:d43e8a0aa29ab71518455c5b0eb42efce5510eb2b14af3de52be73f532d1fba6

Observation 95a4e1f1-830b-4386-8927-78d1685eedbd · outbound

This paper cites Local semantic feature aggregation-based transformer 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 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

This paper cites Spatial–spectral transformer with cross- attention 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 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

This paper cites Tftn: A transformer-based fusion tracking framework of hyperspectral and rgb.IEEE Transactions on Geoscience and Remote Sensing, 60:1–15, 2022.

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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Observation b8eaf389-2e63-4bfa-a766-cabf51d82482 · 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 a5f213c2-0d8b-4b09-a20a-cae67711bb58 · outbound

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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Hyperspectral image classification based on graph transformer network and graph attention mechanism.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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Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems Hyperspectral image classification based on multi-stage vision transformer with stacked samples

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

This paper cites Local–global feature-aware transformer based residual network for hyperspectral image denoising.IEEE Transactions on Geoscience and Remote Sensing, 60:1–19, 2022.

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

This paper cites Microscopic hyperspectral image classification based on fusion transformer with parallel cnn.IEEE Journal of Biomedical and Health Informatics, 27(6):2910–2921, June 2023.

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

This paper cites an unresolved cited work.

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Observation da42238e-ad1e-4ac2-8339-5f576e1cd569 · 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

This paper cites A spectral–spatial fusion transformer network for hyperspectral image classification.IEEE Transactions on Geoscience and Remote Sensing, 61:1–16, 2023.

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems A spectral–spatial fusion transformer network for hyperspectral image classification.IEEE Transactions on Geoscience and Remote Sensing, 61:1–16, 2023

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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

This paper cites Convolution transformer fusion splicing network for hyperspectral image classification.IEEE Geoscience and Remote Sensing Letters, 20:1–5, 2023.

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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Observation f6a6f87b-7e73-4674-86f7-8c1f6df4ba27 · outbound

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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

This paper cites an unresolved cited work.

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Observation 98554f7d-b4cc-4b2a-bc81-5d1c34964d9b · outbound

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

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

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

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source=pdf_text observed=2026-08-07T05:11:13.865917Z digest=sha256:fb309c535ca0a966b413b109ac9eca30c5fcd58f9ab461ca5193170d9c406a2a

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

This paper cites Self-supervised feature learning for multimodal remote sensing image land cover 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 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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Pith citing papers

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