Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network | Paper Citation Record

Observation 9990dda3-3cc6-4862-9136-a254a8b62202 · outbound

This paper cites Tsunami damage investigation of built-up areas using multitemporal spaceborne full polarimetric sar images,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Tsunami damage investigation of built-up areas using multitemporal spaceborne full polarimetric sar images,

Reference 1

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This paper cites Generation of digital terrain models with a ground-based sar system,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Generation of digital terrain models with a ground-based sar system,

Reference 2

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Observation 6bea9cbd-2ce7-455c-a5cc-1d66d7e53ba3 · outbound

This paper cites Quantitative comparison of classi- fication capability: fully polarimetric versus dual and single-polarization sar,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Quantitative comparison of classi- fication capability: fully polarimetric versus dual and single-polarization sar,

Reference 3

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Observation e7ae2ed5-eeb3-4d4b-ac6b-51434e29f9ad · outbound

This paper cites Polarimetric convo- lutional network for polsar image classification,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Polarimetric convo- lutional network for polsar image classification,

Reference 4

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Observation b1772bfc-fc95-4640-9af6-977b1dcbd4b7 · outbound

This paper cites Classification of polarimetric sar images using compact convolutional neural networks,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Classification of polarimetric sar images using compact convolutional neural networks,

Reference 5

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Observation ac3ce519-ad51-472e-9c8f-d8e0f863b7fb · outbound

This paper cites Polsarnet: A deep fully convolutional network for polarimetric sar image classification,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Polsarnet: A deep fully convolutional network for polarimetric sar image classification,

Reference 6

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Observation 1eb7464a-fc2f-4abe-9f3d-ffa8a6ada473 · outbound

This paper cites Learning rotation domain deep mutual information using convolutional lstm for unsupervised polsar image classification,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Learning rotation domain deep mutual information using convolutional lstm for unsupervised polsar image classification,

Reference 7

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Observation f385144c-a9af-48e4-8c63-01fb0eae5c61 · outbound

This paper cites Exploring convolutional lstm for polsar image classification,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Exploring convolutional lstm for polsar image classification,

Reference 8

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Observation 1aa69ba1-14b5-49a6-8b98-77fd3b0bb709 · outbound

This paper cites Multi-frequency polsar image classification based on cross attention vit,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Multi-frequency polsar image classification based on cross attention vit,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:20:08.934737Z

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Observation 8a88e83d-5250-4dff-a1dd-80e2e9501d63 · outbound

This paper cites Land cover classification for polarimetric sar images based on vision transformer,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Land cover classification for polarimetric sar images based on vision transformer,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:20:08.710551Z

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Observation cebda772-f75a-44f6-a778-2758b615ebd4 · outbound

This paper cites Remote sensing image interpretation with semantic graph-based meth- ods: A survey,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Remote sensing image interpretation with semantic graph-based meth- ods: A survey,

Reference 11

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Observation 998eb71e-b43a-49e9-93e7-c855ebc1c4ed · outbound

This paper cites Metaseg- net: Metadata-collaborative vision-language representation learning for semantic segmentation of remote sensing images,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Metaseg- net: Metadata-collaborative vision-language representation learning for semantic segmentation of remote sensing images,

Reference 12

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Observation 699cec6d-f4e4-402f-b7f3-3428c8b963e8 · outbound

This paper cites Better visual interpretation for remote sensing scene classification,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Better visual interpretation for remote sensing scene classification,

Reference 13

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Observation ccd06b71-b64a-403a-91c1-4c0d65266127 · outbound

This paper cites Uav hyperspectral remote sensing image classification: A systematic review,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Uav hyperspectral remote sensing image classification: A systematic review,

Reference 14

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Observation 6ec14c1b-b1e1-41da-81e4-93f51669ffa5 · outbound

This paper cites General polarimetric model-based decomposition for coherency matrix,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network General polarimetric model-based decomposition for coherency matrix,

Reference 15

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Observation 2998667a-4ede-473c-bb1c-5988ea07d96c · outbound

This paper cites An extension of a complete model-based decomposition of polarimetric sar data,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network An extension of a complete model-based decomposition of polarimetric sar data,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:20:07.553176Z

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Observation 00c72ac8-0d64-4c48-b630-f7146be305ff · outbound

This paper cites Polsar image analysis of wetlands using a modified four-component scattering power decomposition,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Polsar image analysis of wetlands using a modified four-component scattering power decomposition,

Reference 17

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Observation 85714e0e-e1da-44f2-9d1a-4c94bfabd49e · outbound

This paper cites Modeling and interpretation of scattering mechanisms in polarimetric synthetic aperture radar: Advances and perspectives,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Modeling and interpretation of scattering mechanisms in polarimetric synthetic aperture radar: Advances and perspectives,

Reference 18

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Observation 77719c07-6491-4483-b864-dfc5f57bb5a2 · outbound

This paper cites A three-component scattering model for polarimetric sar data,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network A three-component scattering model for polarimetric sar data,

Reference 19

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Observation c0b0e3bc-c943-48e2-ae30-7caec9db033b · outbound

This paper cites Sublook2sublook: A self- supervised speckle filtering framework for single sar images,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Sublook2sublook: A self- supervised speckle filtering framework for single sar images,

Reference 20

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Observation 88ef8e5a-bacc-4933-92f6-a71b7ac012c3 · outbound

This paper cites An active deep learning approach for minimally supervised polsar image classification,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network An active deep learning approach for minimally supervised polsar image classification,

Reference 21

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Observation 22df6438-457f-45c4-b418-0edd86a2b2aa · outbound

This paper cites Concept bottleneck models,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Concept bottleneck models,

Reference 22

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Observation 4412e854-b19b-40a7-af7d-29151fdb31a2 · outbound

This paper cites Editable Concept Bottleneck Models.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Editable Concept Bottleneck Models

Reference 23

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Observation 09d19fcb-4916-4e5a-833d-8c709330ac4a · outbound

This paper cites Post-hoc Concept Bottleneck Models.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Post-hoc Concept Bottleneck Models

Reference 24

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Observation b11bc6f0-c99e-4535-82ea-f3cf9d5e1243 · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network KAN: Kolmogorov-Arnold Networks

Reference 25

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Observation 89c0c8af-29d9-48df-bd46-5244a4a9ce55 · outbound

This paper cites Classification of polsar images by stacked random forests,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Classification of polsar images by stacked random forests,

Reference 26

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Observation 32cb64ab-36ba-4312-b19a-1fc9da838e29 · outbound

This paper cites Polarimetric sar image classification using deep convolutional neural networks,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Polarimetric sar image classification using deep convolutional neural networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:20:05.675544Z

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Observation e137efff-10dd-44c7-8e41-3c5c1eeccb51 · outbound

This paper cites A novel polarimetric sar classi- fication method integrating pixel-based and patch-based classification,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network A novel polarimetric sar classi- fication method integrating pixel-based and patch-based classification,

Reference 28

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Observation 3e363b48-e0b3-4804-9731-528609cc29f9 · outbound

This paper cites Exploring vision transformers for polarimetric sar image classification,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Exploring vision transformers for polarimetric sar image classification,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:20:05.290087Z

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Observation d55adcf4-a2d0-4777-811e-2a0d84dda34b · outbound

This paper cites Polarimetry-inspired contrastive learning for class-imbalanced polsar image classification,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Polarimetry-inspired contrastive learning for class-imbalanced polsar image classification,

Reference 31

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Observation 0efd736d-d086-4a43-a6f4-d2a6894eeb6d · outbound

This paper cites Mcdiff: A multilevel conditional diffusion model for polsar image classification,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Mcdiff: A multilevel conditional diffusion model for polsar image classification,

Reference 32

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Observation 19392b9f-4781-4670-af3f-93feb450ce55 · outbound

This paper cites Complex-valued 2d-3d hybrid convolutional neural network with attention mechanism for polsar image classification,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Complex-valued 2d-3d hybrid convolutional neural network with attention mechanism for polsar image classification,

Reference 33

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Observation 3f61f500-3f51-4aee-a273-ab2b12813f40 · outbound

This paper cites A lightweight riemannian covariance matrix convolutional network for polsar image classification,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network A lightweight riemannian covariance matrix convolutional network for polsar image classification,

Reference 34

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Observation 1ff10b12-fb4b-4e5e-aa7a-93496f5398dd · outbound

This paper cites Polsar image classification via a multi-granularity hybrid cnn-vit model with external tokens and cross-attention,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Polsar image classification via a multi-granularity hybrid cnn-vit model with external tokens and cross-attention,

Reference 35

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Observation 70dd8737-fa9c-4a78-9e59-adaefd7c7ca7 · outbound

This paper cites Dual-branch cnn incorporating multiscale svd profile for polsar image classification,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Dual-branch cnn incorporating multiscale svd profile for polsar image classification,

Reference 36

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Observation 0a6bd2c7-fede-4cb8-b230-b4ef8ee34264 · outbound

This paper cites Krogager, D.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Krogager, D

Reference 37

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Observation 054a49db-ddb1-4896-83e4-ace58a1eb8c3 · outbound

This paper cites Feature motivated polarization scattering matrix decomposition,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Feature motivated polarization scattering matrix decomposition,

Reference 38

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Observation 3a5dd83d-ea27-483c-b101-48a0b77d29e6 · outbound

This paper cites Four- component scattering model for polarimetric sar image decomposition,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Four- component scattering model for polarimetric sar image decomposition,

Reference 39

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Observation c2919d02-eef8-4ca9-bdf7-f573468cc575 · outbound

This paper cites Combination of support vector machine and h-alpha decomposition for subsurface target classification of gpr,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Combination of support vector machine and h-alpha decomposition for subsurface target classification of gpr,

Reference 40

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Observation a3b6c30a-a9f2-46fc-b89c-c8d0ed557a46 · outbound

This paper cites An iterative polsar image classification method with utilizing scattering and contextual information,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network An iterative polsar image classification method with utilizing scattering and contextual information,

Reference 41

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Observation 22fbfa6e-de6e-4c7c-a801-e72ab8b326f7 · outbound

This paper cites A comparative study on classification features between high-resolution and polarimetric sar images through unsupervised classification methods,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network A comparative study on classification features between high-resolution and polarimetric sar images through unsupervised classification methods,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:20:02.179864Z

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Observation c86c03e7-3f19-4749-a697-03cef64bffd0 · outbound

This paper cites A feature fusion network for polsar image classification based on physical features and deep features,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network A feature fusion network for polsar image classification based on physical features and deep features,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:20:02.008156Z

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Observation 58ecefe8-cb0e-46e6-8c82-9b8e6a08fefa · outbound

This paper cites Mlr-simsiam: A contrastive pretraining model based on polarimetric jittering and mu- tual learning regularizer for polsar image classification,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Mlr-simsiam: A contrastive pretraining model based on polarimetric jittering and mu- tual learning regularizer for polsar image classification,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:20:01.859624Z

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Observation 6eb774cc-8a36-4c79-840e-9e1c07d16ce4 · outbound

This paper cites Learning deep features for discriminative localization,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Learning deep features for discriminative localization,

Reference 45

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Observation 97eed702-3616-4bef-9b3c-d9df7781188c · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 46

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This paper cites Concept embedding models: Beyond the accuracy-explainability trade- off,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Concept embedding models: Beyond the accuracy-explainability trade- off,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:20:01.540498Z

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Observation 4f837030-b01e-4fb6-aab4-a381aacaced7 · outbound

This paper cites Label-Free Concept Bottleneck Models.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Label-Free Concept Bottleneck Models

Reference 48

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This paper cites Towards concept-based interpretability of skin lesion diagnosis using vision-language models,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Towards concept-based interpretability of skin lesion diagnosis using vision-language models,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:20:01.431851Z

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This paper cites Explainable neural network-based modulation classification via concept bottleneck models,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Explainable neural network-based modulation classification via concept bottleneck models,

Reference 50

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Observation d7a6c7b0-8123-4312-8c22-dabff34aa6af · outbound

This paper cites Explain- able, physics-aware, trustworthy artificial intelligence: A paradigm shift for synthetic aperture radar,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Explain- able, physics-aware, trustworthy artificial intelligence: A paradigm shift for synthetic aperture radar,

Reference 51

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Observation 65f0a9fc-ef89-4a1f-a925-c874f2192ef4 · outbound

This paper cites Physically explainable cnn for sar image classification,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Physically explainable cnn for sar image classification,

Reference 52

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Observation 1907cb56-7488-42db-9648-709617cef380 · outbound

This paper cites The dual-band sar image fusion based foliage penetrating target detection method,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network The dual-band sar image fusion based foliage penetrating target detection method,

Reference 53

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Observation ded9d465-0d67-4c18-a836-330564d12002 · outbound

This paper cites A physically interpretable rice field extraction model for polsar imagery,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network A physically interpretable rice field extraction model for polsar imagery,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:20:00.625706Z

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Observation 56a35fde-2576-4826-9bd3-691691e5e658 · outbound

This paper cites An entropy based classification scheme for land applications of polarimetric sar,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network An entropy based classification scheme for land applications of polarimetric sar,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:20:00.452114Z

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This paper cites Phenomenological theory of radar targets,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Phenomenological theory of radar targets,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:20:00.261735Z

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Observation 7b9a560a-7054-412e-8fe9-f3d72969359b · outbound

This paper cites A review of target decomposition theorems in radar polarimetry,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network A review of target decomposition theorems in radar polarimetry,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:20:00.081807Z

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Observation 4076bc50-f050-4d43-9465-2fcf5d26a658 · outbound

This paper cites Polsf: Polsar image datasets on san francisco,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Polsf: Polsar image datasets on san francisco,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:59.858243Z

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This paper cites Assessment of model-based polsar decompositions,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Assessment of model-based polsar decompositions,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:59.681932Z

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Observation 371658e7-36ad-4f24-830c-37319e3f67b1 · outbound

This paper cites Polsar image classification using a hybrid complex- valued network (hybridcvnet),.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Polsar image classification using a hybrid complex- valued network (hybridcvnet),

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:20:05.012305Z

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Observation ad3e5461-a85e-48e7-8446-7883599f58f0 · outbound

This paper cites Cbam: Convolutional block attention module,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Cbam: Convolutional block attention module,

Reference 61

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This paper cites Sf-cnn: A fast compression artifacts removal via spatial-to-frequency convolutional neural networks,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Sf-cnn: A fast compression artifacts removal via spatial-to-frequency convolutional neural networks,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:59.488487Z

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Observation af78a145-8df7-480b-9c4d-9f570f5f8dae · outbound

This paper cites Polsar image classification based on low- frequency and contour subbands-driven polarimetric senet,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Polsar image classification based on low- frequency and contour subbands-driven polarimetric senet,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:59.272361Z

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Observation 3fb48bb8-b956-4198-a2de-9cce41438b5d · outbound

This paper cites A multichannel fusion convolutional neural network based on scattering mechanism for polsar image classification,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network A multichannel fusion convolutional neural network based on scattering mechanism for polsar image classification,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:59.009510Z

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Observation 4d3ebf11-d985-4baa-8258-14947935c1bb · outbound

This paper cites Local window attention transformer for polarimetric sar image classification,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Local window attention transformer for polarimetric sar image classification,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:58.758099Z

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Observation a9aa5f4f-3be4-49fa-9ced-3f98a6a76c6c · outbound

This paper cites This Looks Like That: Deep Learning for Interpretable Image Recognition.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network This Looks Like That: Deep Learning for Interpretable Image Recognition

Reference 66

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Observation fb449ad6-efd5-4915-a942-9d8a8c172eaa · outbound

This paper cites Pol-insar-island - a benchmark dataset for multi-frequency pol-insar data land cover classification,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Pol-insar-island - a benchmark dataset for multi-frequency pol-insar data land cover classification,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:58.573495Z

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Observation aaecc62d-00c8-4adb-abf5-ebf3e5237a5a · outbound

This paper cites Cnn-based polarimetric decomposition feature selection for polsar image classification,.

Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network Cnn-based polarimetric decomposition feature selection for polsar image classification,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:58.452573Z

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