These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
312 related articles for article (PubMed ID: 35590921)
1. 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]
2. Hyperspectral Image Classification Model Using Squeeze and Excitation Network with Deep Learning. T R; Valsalan P; J A; M J; S R; Latha G CP; T A Comput Intell Neurosci; 2022; 2022():9430779. PubMed ID: 35965752 [TBL] [Abstract][Full Text] [Related]
3. Attention 3D central difference convolutional dense network for hyperspectral image classification. Ashraf M; Alharthi R; Chen L; Umer M; Alsubai S; Eshmawi AA PLoS One; 2024; 19(4):e0300013. PubMed ID: 38598444 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
7. 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]
8. A 3D-2D Convolutional Neural Network and Transfer Learning for Hyperspectral Image Classification. Nyabuga DO; Song J; Liu G; Adjeisah M Comput Intell Neurosci; 2021; 2021():1759111. PubMed ID: 34471405 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. Multi-source remote sensing image classification based on two-channel densely connected convolutional networks. Song H; Yang W; Dai S; Yuan H Math Biosci Eng; 2020 Oct; 17(6):7353-7377. PubMed ID: 33378900 [TBL] [Abstract][Full Text] [Related]
12. 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]
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. Deep convolutional neural network based hyperspectral brain tissue classification. Poonkuzhali P; Helen Prabha K J Xray Sci Technol; 2023; 31(4):777-796. PubMed ID: 37182861 [TBL] [Abstract][Full Text] [Related]
15. 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]
16. GroupFormer for hyperspectral image classification through group attention. Khan R; Arshad T; Ma X; Zhu H; Wang C; Khan J; Khan ZU; Khan SU Sci Rep; 2024 Oct; 14(1):23879. PubMed ID: 39396096 [TBL] [Abstract][Full Text] [Related]
17. Feature Learning Using Spatial-Spectral Hypergraph Discriminant Analysis for Hyperspectral Image. Luo F; Du B; Zhang L; Zhang L; Tao D IEEE Trans Cybern; 2019 Jul; 49(7):2406-2419. PubMed ID: 29994036 [TBL] [Abstract][Full Text] [Related]
18. 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]
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. Hybrid spatial-spectral generative adversarial network for hyperspectral image classification. Ma C; Wan M; Kong X; Zhang X; Chen Q; Gu G J Opt Soc Am A Opt Image Sci Vis; 2023 Mar; 40(3):538-548. PubMed ID: 37133030 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]