367 related articles for article (PubMed ID: 34068823)
1. Hybrid Dilated Convolution with Multi-Scale Residual Fusion Network for Hyperspectral Image Classification.
Li C; Qiu Z; Cao X; Chen Z; Gao H; Hua Z
Micromachines (Basel); 2021 May; 12(5):. PubMed ID: 34068823
[TBL] [Abstract][Full Text] [Related]
2. Learning Deep Hierarchical Spatial-Spectral Features for Hyperspectral Image Classification Based on Residual 3D-2D CNN.
Feng F; Wang S; Wang C; Zhang J
Sensors (Basel); 2019 Nov; 19(23):. PubMed ID: 31795511
[TBL] [Abstract][Full Text] [Related]
3. Hyperspectral Image Classification Using Deep Genome Graph-Based Approach.
Tinega H; Chen E; Ma L; Mariita RM; Nyasaka D
Sensors (Basel); 2021 Sep; 21(19):. PubMed ID: 34640786
[TBL] [Abstract][Full Text] [Related]
4. Spatial-Spectral Feature Refinement for Hyperspectral Image Classification Based on Attention-Dense 3D-2D-CNN.
Zhang J; Wei F; Feng F; Wang C
Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32933016
[TBL] [Abstract][Full Text] [Related]
5. An Effective Hyperspectral Image Classification Network Based on Multi-Head Self-Attention and Spectral-Coordinate Attention.
Zhang M; Duan Y; Song W; Mei H; He Q
J Imaging; 2023 Jul; 9(7):. PubMed ID: 37504818
[TBL] [Abstract][Full Text] [Related]
6. Going Deeper With Contextual CNN for Hyperspectral Image Classification.
Lee H; Kwon H
IEEE Trans Image Process; 2017 Oct; 26(10):4843-4855. PubMed ID: 28708555
[TBL] [Abstract][Full Text] [Related]
7. Spectral-Spatial Attention Transformer with Dense Connection for Hyperspectral Image Classification.
Dang L; Weng L; Dong W; Li S; Hou Y
Comput Intell Neurosci; 2022; 2022():7071485. PubMed ID: 35795754
[TBL] [Abstract][Full Text] [Related]
8. A Hyperspectral Image Classification Method Based on the Nonlocal Attention Mechanism of a Multiscale Convolutional Neural Network.
Li M; Lu Y; Cao S; Wang X; Xie S
Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991898
[TBL] [Abstract][Full Text] [Related]
9. Double-branch feature fusion transformer for hyperspectral image classification.
Dang L; Weng L; Hou Y; Zuo X; Liu Y
Sci Rep; 2023 Jan; 13(1):272. PubMed ID: 36609624
[TBL] [Abstract][Full Text] [Related]
10. Hierarchical Multi-Scale Convolutional Neural Networks for Hyperspectral Image Classification.
Li S; Zhu X; Bao J
Sensors (Basel); 2019 Apr; 19(7):. PubMed ID: 30974816
[TBL] [Abstract][Full Text] [Related]
11. Deep Belief Network for Spectral⁻Spatial Classification of Hyperspectral Remote Sensor Data.
Li C; Wang Y; Zhang X; Gao H; Yang Y; Wang J
Sensors (Basel); 2019 Jan; 19(1):. PubMed ID: 30626030
[TBL] [Abstract][Full Text] [Related]
12. HMFT: Hyperspectral and Multispectral Image Fusion Super-Resolution Method Based on Efficient Transformer and Spatial-Spectral Attention Mechanism.
Qiao B; Xu B; Xie Y; Lin Y; Liu Y; Zuo X
Comput Intell Neurosci; 2023; 2023():4725986. PubMed ID: 36909978
[TBL] [Abstract][Full Text] [Related]
13. Using dual-channel CNN to classify hyperspectral image based on spatial-spectral information.
Song HF; Yang WW; Dai SS; Du L; Sun YC
Math Biosci Eng; 2020 May; 17(4):3450-3477. PubMed ID: 32987538
[TBL] [Abstract][Full Text] [Related]
14. A new hyperspectral image classification method based on spatial-spectral features.
Shenming Q; Xiang L; Zhihua G
Sci Rep; 2022 Jan; 12(1):1541. PubMed ID: 35087142
[TBL] [Abstract][Full Text] [Related]
15. Superpixel Guided Deformable Convolution Network for Hyperspectral Image Classification.
Zhao C; Zhu W; Feng S
IEEE Trans Image Process; 2022; 31():3838-3851. PubMed ID: 35613065
[TBL] [Abstract][Full Text] [Related]
16. Robust Spatial-Spectral Squeeze-Excitation AdaBound Dense Network (SE-AB-Densenet) for Hyperspectral Image Classification.
Munishamaiaha K; Rajagopal G; Venkatesan DK; Arif M; Vicoveanu D; Chiuchisan I; Izdrui D; Geman O
Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590921
[TBL] [Abstract][Full Text] [Related]
17. Comparison of CNN Algorithms on Hyperspectral Image Classification in Agricultural Lands.
Hsieh TH; Kiang JF
Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32244929
[TBL] [Abstract][Full Text] [Related]
18. A Hyperspectral Image Classification Framework with Spatial Pixel Pair Features.
Ran L; Zhang Y; Wei W; Zhang Q
Sensors (Basel); 2017 Oct; 17(10):. PubMed ID: 29065535
[TBL] [Abstract][Full Text] [Related]
19. CEGAT: A CNN and enhanced-GAT based on key sample selection strategy for hyperspectral image classification.
Shi C; Wu H; Wang L
Neural Netw; 2023 Nov; 168():105-122. PubMed ID: 37748391
[TBL] [Abstract][Full Text] [Related]
20. Convolutional Neural Network Based on Bandwise-Independent Convolution and Hard Thresholding for Hyperspectral Band Selection.
Feng J; Chen J; Sun Q; Shang R; Cao X; Zhang X; Jiao L
IEEE Trans Cybern; 2021 Sep; 51(9):4414-4428. PubMed ID: 32598287
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
