Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification | Paper Citation Record

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This paper cites Hyperspectral remote sensing data analysis and future challenges,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Hyperspectral remote sensing data analysis and future challenges,

Reference 1

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This paper cites Recent advances on spectral–spatial hyperspectral image classification: An overview and new guidelines,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Recent advances on spectral–spatial hyperspectral image classification: An overview and new guidelines,

Reference 2

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This paper cites Eigen-cnn: Eigenimages plus eigennoise level maps guided network for hyperspectral image denoising,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Eigen-cnn: Eigenimages plus eigennoise level maps guided network for hyperspectral image denoising,

Reference 3

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This paper cites 8 - hyperspectral remote sensing in precision agriculture: present status, challenges, and future trends,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification 8 - hyperspectral remote sensing in precision agriculture: present status, challenges, and future trends,

Reference 4

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This paper cites Hyperspectral vegetation indices and novel algorithms for predicting green lai of crop canopies: Modeling and validation in the context of precision agriculture,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Hyperspectral vegetation indices and novel algorithms for predicting green lai of crop canopies: Modeling and validation in the context of precision agriculture,

Reference 5

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This paper cites Understanding urban landuse from the above and ground perspectives: A deep learning, multimodal solution,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Understanding urban landuse from the above and ground perspectives: A deep learning, multimodal solution,

Reference 6

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This paper cites Local climate zone-based urban land cover classification from multi-seasonal sentinel-2 images with a recurrent residual network,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Local climate zone-based urban land cover classification from multi-seasonal sentinel-2 images with a recurrent residual network,

Reference 7

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This paper cites Bs3lnet: A new blind-spot self-supervised learning network for hyperspectral anomaly detection,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Bs3lnet: A new blind-spot self-supervised learning network for hyperspectral anomaly detection,

Reference 8

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This paper cites Hadgsm: A unified nonconvex framework for hyperspectral anomaly detection,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Hadgsm: A unified nonconvex framework for hyperspectral anomaly detection,

Reference 9

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This paper cites Comparison of airborne hyperspectral data and eo-1 hyperion for mineral mapping,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Comparison of airborne hyperspectral data and eo-1 hyperion for mineral mapping,

Reference 10

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This paper cites Hyperspectral remote sensing in litho- logical mapping, mineral exploration, and environmental geology: an updated review,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Hyperspectral remote sensing in litho- logical mapping, mineral exploration, and environmental geology: an updated review,

Reference 11

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This paper cites Support vector machine versus random forest for remote sensing image classification: A meta-analysis and systematic review,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Support vector machine versus random forest for remote sensing image classification: A meta-analysis and systematic review,

Reference 12

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This paper cites Spectral–spatial and cascaded multilayer random forests for tree species classification in airborne hyperspectral images,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Spectral–spatial and cascaded multilayer random forests for tree species classification in airborne hyperspectral images,

Reference 13

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This paper cites Unsupervised bayesian subpixel mapping of hyperspectral imagery based on band-weighted discrete spectral mixture model and markov random field,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Unsupervised bayesian subpixel mapping of hyperspectral imagery based on band-weighted discrete spectral mixture model and markov random field,

Reference 14

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Observation b256b0bc-2ce3-49fd-b8ba-47cec40a46cb · outbound

This paper cites Subspace-based support vector machines for hyperspectral image classification,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Subspace-based support vector machines for hyperspectral image classification,

Reference 15

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This paper cites Learning robust discriminant subspace based on joint l, -and l, -norm distance metrics,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Learning robust discriminant subspace based on joint l, -and l, -norm distance metrics,

Reference 16

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Observation 414c183f-b669-4792-84de-eea5aab1a2f0 · outbound

This paper cites Pca-based edge- preserving features for hyperspectral image classification,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Pca-based edge- preserving features for hyperspectral image classification,

Reference 17

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Observation d0a48db3-642a-45a1-9d25-6d0bb090336a · outbound

This paper cites Pca-based feature reduction for hyperspectral remote sensing image classification,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Pca-based feature reduction for hyperspectral remote sensing image classification,

Reference 18

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Observation e8e4276e-6abb-4498-bcc2-98a7e542d850 · outbound

This paper cites Spectral and spatial classification of hyperspectral data using svms and morphological profiles,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Spectral and spatial classification of hyperspectral data using svms and morphological profiles,

Reference 19

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This paper cites Classification of hyperspectral images by using extended morphological attribute profiles and independent component analysis,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Classification of hyperspectral images by using extended morphological attribute profiles and independent component analysis,

Reference 20

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This paper cites Mean-weighted collaborative representation- based spatial-spectral joint classification for hyperspec- tral images,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Mean-weighted collaborative representation- based spatial-spectral joint classification for hyperspec- tral images,

Reference 21

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Observation 6bf4b1a4-9355-4cde-93a5-9bed04030699 · outbound

This paper cites Gabor-filtering-based nearest regularized subspace for hyperspectral image classification,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Gabor-filtering-based nearest regularized subspace for hyperspectral image classification,

Reference 22

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Observation 53524b54-4650-4925-80a3-244d8692d875 · outbound

This paper cites Discriminative low-rank gabor filtering for spectral–spatial hyperspectral image classification,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Discriminative low-rank gabor filtering for spectral–spatial hyperspectral image classification,

Reference 23

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Observation fbe85f74-7e00-4a65-a6fb-b58b3a653f8c · outbound

This paper cites Ensemble learning for hyperspectral image classification using tangent collaborative representation,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Ensemble learning for hyperspectral image classification using tangent collaborative representation,

Reference 24

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Observation 5dc05bba-6fa9-4343-84a4-5e6f6f947d7c · outbound

This paper cites Spectral–spatial clas- sification of hyperspectral images with a superpixel-based discriminative sparse model,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Spectral–spatial clas- sification of hyperspectral images with a superpixel-based discriminative sparse model,

Reference 25

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This paper cites Spassa: Superpixelwise adaptive ssa for unsupervised spatial–spectral feature extraction in hyperspectral image,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Spassa: Superpixelwise adaptive ssa for unsupervised spatial–spectral feature extraction in hyperspectral image,

Reference 26

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This paper cites Deep learning for hyperspectral image classification: An overview,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Deep learning for hyperspectral image classification: An overview,

Reference 27

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Observation f8198636-abd1-4393-aacc-e2717415abda · outbound

This paper cites Sar automatic target recognition method based on multi-stream complex-valued networks,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Sar automatic target recognition method based on multi-stream complex-valued networks,

Reference 28

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This paper cites Sar-atr with knowledge hierarchy division and information dissemination networks,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Sar-atr with knowledge hierarchy division and information dissemination networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:26.207778Z

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Observation f6139248-7f68-45b2-abf9-cc3803179356 · outbound

This paper cites Spatio-temporal multi-level attention crop mapping method using time- series sar imagery,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Spatio-temporal multi-level attention crop mapping method using time- series sar imagery,

Reference 30

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Observation 504d339c-e40f-4bb6-b55e-f6db8ce4d7ee · outbound

This paper cites Model- informed multistage unsupervised network for hyperspectral image super-resolution,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Model- informed multistage unsupervised network for hyperspectral image super-resolution,

Reference 31

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Observation 89a1db06-6b51-4fd5-b767-21e3273858d3 · outbound

This paper cites Going deeper with contextual cnn for hyperspec- tral image classification,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Going deeper with contextual cnn for hyperspec- tral image classification,

Reference 32

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Observation d788de21-b053-40f8-9235-16fb6b2740d4 · outbound

This paper cites Diverse region-based cnn for hyperspec- tral image classification,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Diverse region-based cnn for hyperspec- tral image classification,

Reference 33

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This paper cites Feedback attention- based dense cnn for hyperspectral image classification,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Feedback attention- based dense cnn for hyperspectral image classification,

Reference 34

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Observation 9da9176a-0565-47be-8255-ce1a4af81e3b · outbound

This paper cites Multiscale dynamic graph convolutional network for hyperspectral image classifica- tion,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Multiscale dynamic graph convolutional network for hyperspectral image classifica- tion,

Reference 35

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Observation d37bbcf7-48ef-48a2-8c8a-fdaf27ca5161 · outbound

This paper cites Graph convolutional networks for hyperspectral image classification,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Graph convolutional networks for hyperspectral image classification,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:26.136795Z

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Observation 077bcfc4-c946-4351-ae50-03f1fa8398e6 · outbound

This paper cites Nonlocal graph convolutional networks for hyperspectral image classification,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Nonlocal graph convolutional networks for hyperspectral image classification,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:26.126043Z

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

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Deep recurrent neural networks for hyperspectral image classification,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:26.115025Z

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Observation b7b378dd-ea63-4c4d-89a7-c987377c4648 · outbound

This paper cites Spatial se- quential recurrent neural network for hyperspectral image classification,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Spatial se- quential recurrent neural network for hyperspectral image classification,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:26.103507Z

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Observation f2c4dea7-f74d-48e6-b930-a98aafdaaca4 · outbound

This paper cites Spectral-spatial classi- fication for hyperspectral image based on a single gru,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Spectral-spatial classi- fication for hyperspectral image based on a single gru,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:26.092109Z

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Observation 70b7e3b0-41f6-4583-9644-87c8e8729bfb · outbound

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

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Spectralformer: Rethinking hyperspectral image classification with transformers,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:26.079430Z

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Observation 4f937440-931b-47be-bc7b-d4a02c6b4cca · outbound

This paper cites Spatial-spectral transformer for hyperspec- tral image classification,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Spatial-spectral transformer for hyperspec- tral image classification,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:26.068329Z

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Observation b16f77f9-e4ff-4ad8-baf9-210ba6c180fc · outbound

This paper cites Morphological convolutional neural networks for hyperspectral image classification,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Morphological convolutional neural networks for hyperspectral image classification,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:26.057488Z

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Observation bbc4d32f-0039-4a59-bffc-172b122ff385 · outbound

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

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Spectral–spatial feature tokenization transformer for hyperspectral image classification,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:26.046903Z

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Observation 4a34441d-f04e-4207-93cf-4acff6d5aa3f · outbound

This paper cites Weighted feature fusion of convolutional neural network and graph attention network for hyper- spectral image classification,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Weighted feature fusion of convolutional neural network and graph attention network for hyper- spectral image classification,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:26.035925Z

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Observation e65efa3d-fcbc-453d-9a3b-22d0240c3a17 · outbound

This paper cites Invariant subpixel material detection in hyper- spectral imagery,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Invariant subpixel material detection in hyper- spectral imagery,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:26.024612Z

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Observation 64c47ec1-4771-4eb4-b643-4f27435e5d9b · outbound

This paper cites Spectral unmixing,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Spectral unmixing,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:26.014561Z

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Observation a39205b7-8047-47e8-a92c-6460b786d4b7 · outbound

This paper cites Hyperspectral sparse unmixing via nonconvex shrinkage penalties,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Hyperspectral sparse unmixing via nonconvex shrinkage penalties,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:26.004465Z

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Observation 42abeec3-46a3-48e6-8b9c-20da4fda4b02 · outbound

This paper cites Reinforcement learning for neural architecture search in hyperspectral unmixing,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Reinforcement learning for neural architecture search in hyperspectral unmixing,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.993489Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 10189294-c07d-41c0-bb44-8d57e819a8a6 · outbound

This paper cites Comparative study between a new nonlinear model and common linear model for analysing laboratory simulated-forest hyperspectral data,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Comparative study between a new nonlinear model and common linear model for analysing laboratory simulated-forest hyperspectral data,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.982584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 87dddd8f-327a-43a3-9f00-5c515e0e74b7 · outbound

This paper cites Semi-supervised linear spectral unmixing using a hierarchical bayesian model for hyperspectral imagery,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Semi-supervised linear spectral unmixing using a hierarchical bayesian model for hyperspectral imagery,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.971081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c3c3ca50-7ca5-43e1-951f-5735c805aa61 · outbound

This paper cites Nonlinear unmixing of hyperspectral images: Models and algorithms,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Nonlinear unmixing of hyperspectral images: Models and algorithms,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.959770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0632dabe-c422-4bba-b14c-684a1881a019 · outbound

This paper cites A review of nonlinear hyperspec- tral unmixing methods,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification A review of nonlinear hyperspec- tral unmixing methods,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.948802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b0926cde-12f8-49c3-918b-dca909116780 · outbound

This paper cites Supervised nonlinear spectral unmixing using a postnonlinear mixing model for hyperspectral imagery,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Supervised nonlinear spectral unmixing using a postnonlinear mixing model for hyperspectral imagery,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.936492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 552ea771-0adf-47d8-b0c0-e4229cef3c80 · outbound

This paper cites A multilinear mixing model for nonlinear spectral unmixing,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification A multilinear mixing model for nonlinear spectral unmixing,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.924718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f48216b4-9ba3-4e86-9318-4088b932b7d7 · outbound

This paper cites Band-wise nonlinear unmixing for hyperspectral imagery using an extended multilinear mixing model,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Band-wise nonlinear unmixing for hyperspectral imagery using an extended multilinear mixing model,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.912859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2792f0b4-e5d4-4952-84c6-9b7b11a4b45a · outbound

This paper cites Daen: Deep autoencoder networks for hyperspectral unmixing,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Daen: Deep autoencoder networks for hyperspectral unmixing,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.900817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c86ef9f8-afac-4a92-9ade-77a5c9298a65 · outbound

This paper cites Nonlinear unmixing of hyperspectral data via deep autoencoder networks,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Nonlinear unmixing of hyperspectral data via deep autoencoder networks,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.888548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b0c8b75a-20b5-4744-bf33-2b27eaf57139 · outbound

This paper cites Deep half- siamese networks for hyperspectral unmixing,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Deep half- siamese networks for hyperspectral unmixing,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.876306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8f51c6c9-08a8-4f8c-b2f7-fb4acf19aa18 · outbound

This paper cites Convolutional autoencoder for spectral–spatial hyperspectral unmixing,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Convolutional autoencoder for spectral–spatial hyperspectral unmixing,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.866172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5dd888d7-4ef2-4c8d-8669-720db927678f · outbound

This paper cites A plug-and-play priors framework for hyperspectral unmixing,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification A plug-and-play priors framework for hyperspectral unmixing,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.855329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 48302bd4-6bc3-4558-a8e9-48d16c779352 · outbound

This paper cites Cycu-net: Cycle- consistency unmixing network by learning cascaded autoencoders,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Cycu-net: Cycle- consistency unmixing network by learning cascaded autoencoders,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.843498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 25ea4fca-7bea-423c-ad98-31efa9ed07bb · outbound

This paper cites Au- tonas: Automatic neural architecture search for hyperspectral unmixing,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Au- tonas: Automatic neural architecture search for hyperspectral unmixing,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.832162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ee16d769-6cb0-48ce-9bc9-a03b57891c94 · outbound

This paper cites Multimodal hyperspectral unmixing: Insights from attention networks,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Multimodal hyperspectral unmixing: Insights from attention networks,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T22:04:25.597060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74501b74-8ec0-4df3-bf88-371e3a2d5f52 · outbound

This paper cites Application of lithological map- ping based on advanced hyperspectral imager (ahsi) imagery onboard gaofen-5 (gf-5) satellite,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Application of lithological map- ping based on advanced hyperspectral imager (ahsi) imagery onboard gaofen-5 (gf-5) satellite,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.813637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 65c26776-81df-4d54-bd46-d2c72e748e13 · outbound

This paper cites Advances in spaceborne hyperspectral remote sensing in china,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Advances in spaceborne hyperspectral remote sensing in china,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.802114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cdd57f7e-4893-4533-b6cf-ecf8974b48fb · outbound

This paper cites Appraisal of enmap hyperspectral imagery use in lulc mapping when combined with machine learning pixel-based classifiers,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Appraisal of enmap hyperspectral imagery use in lulc mapping when combined with machine learning pixel-based classifiers,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.790263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8b470368-3c30-44a2-a27c-08614fcd3b46 · outbound

This paper cites Cnn-based hyperspectral pansharpening with arbitrary resolution,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Cnn-based hyperspectral pansharpening with arbitrary resolution,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.778329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b82f8405-ac8b-4225-a8c4-99a3cb9d9df3 · outbound

This paper cites X-shaped interactive autoencoders with cross-modality mutual learning for unsupervised hyperspectral image super-resolution,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification X-shaped interactive autoencoders with cross-modality mutual learning for unsupervised hyperspectral image super-resolution,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.767343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5018cf06-f668-4ff5-b1db-df3fc5bca2ea · outbound

This paper cites Model-guided coarse- to-fine fusion network for unsupervised hyperspectral image super- resolution,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Model-guided coarse- to-fine fusion network for unsupervised hyperspectral image super- resolution,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.755938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8a7cbadd-a7d7-4ed1-9cb5-2bc642b85f10 · outbound

This paper cites Nonlinear unmixing of hyperspec- tral data based on a linear-mixture/nonlinear-fluctuation model,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Nonlinear unmixing of hyperspec- tral data based on a linear-mixture/nonlinear-fluctuation model,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.743991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 62dfd219-2c66-4b89-b058-286c5b2f48e7 · outbound

This paper cites Deep learning classifiers for hyperspectral imaging: A review,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Deep learning classifiers for hyperspectral imaging: A review,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.732111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 27e5654e-70a7-41e3-893e-2f813cadf121 · outbound

This paper cites Deep feature extraction and classification of hyperspectral images based on convolutional neural networks,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Deep feature extraction and classification of hyperspectral images based on convolutional neural networks,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.721515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5567ae25-f03d-497e-92b5-e7ac46808a0d · outbound

This paper cites Attention is all you need,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Attention is all you need,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.711140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7405f926-a94d-47c6-9751-15ed27e60f20 · outbound

This paper cites Imaging spectroscopy and the airborne visible/infrared imaging spectrometer (aviris),.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Imaging spectroscopy and the airborne visible/infrared imaging spectrometer (aviris),

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.700172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e16f974f-ae9e-4820-8c18-f90dffa15495 · outbound

This paper cites Characterisation methods for the hyperspectral sensor hyspex at dlr’s calibration home base,.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Characterisation methods for the hyperspectral sensor hyspex at dlr’s calibration home base,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:25.687847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a7d3708f-7b3d-4102-a235-d45dc5b219a6 · outbound

This paper cites Visualizing data using t-sne.

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification Visualizing data using t-sne

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T22:04:25.643290Z

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Unavailable: canonical work link unavailable.

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