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Research Article

SpectralSWIN: a spectral-swin transformer network for hyperspectral image classification

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Pages 4025-4044 | Received 29 Apr 2022, Accepted 19 Jul 2022, Published online: 12 Aug 2022

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Read on this site (8)

Feilong Cao, Jieqin Bao, Bing Yang & Hailiang Ye. (2024) A fast hypergraph neural network with detail preservation for hyperspectral image classification. International Journal of Remote Sensing 45:9, pages 3104-3128.
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Chen Lou, Mohammed A. A. Al-qaness, Dalal AL-Alimi, Abdelghani Dahou, Mohamed Abd Elaziz, Laith Abualigah & Ahmed A. Ewees. (2024) Land use/land cover (LULC) classification using hyperspectral images: a review. Geo-spatial Information Science 0:0, pages 1-42.
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Yunji Zhao, Wenming Bao, Xiaozhuo Xu & Yuhang Zhou. (2024) Hyperspectral image classification based on local feature decoupling and hybrid attention SpectralFormer network. International Journal of Remote Sensing 45:5, pages 1727-1754.
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Mahesh Pal. (2024) Deep learning algorithms for hyperspectral remote sensing classifications: an applied review. International Journal of Remote Sensing 45:2, pages 451-491.
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Ting Tang, Shengwei Zhang, Shaopeng Liu, Weihong Yan & Xin Pan. (2023) TBTA-D2Net: a novel hyperspectral image classification method based on triple-branch ternary-attention mechanism and Dense2Net. International Journal of Remote Sensing 44:22, pages 7033-7056.
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Zhongwei Li, Wenhao Huang, Leiquan Wang, Ziqi Xin & Qiao Meng. (2023) CNN and Transformer interaction network for hyperspectral image classification. International Journal of Remote Sensing 44:18, pages 5548-5573.
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Yu Zhang, Yonghong Song, Hao Hu & Yuanlin Zhang. (2023) Mixed-former: multi-fusion remote sensing change detection. International Journal of Remote Sensing 44:11, pages 3507-3528.
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Masud Ibn Afjal, Md. Nazrul Islam Mondal & Md. Al Mamun. (2023) Segmentation-based linear discriminant analysis with information theoretic feature selection for hyperspectral image classification. International Journal of Remote Sensing 44:11, pages 3412-3455.
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Articles from other publishers (8)

Tianxing Zhu, Qin Liu & Lixiang Zhang. (2023) An Adaptive Atrous Spatial Pyramid Pooling Network for Hyperspectral Classification. Electronics 12:24, pages 5013.
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Ghulam Farooque, Qichao Liu, Allah Bux Sargano & Liang Xiao. (2023) Swin transformer with multiscale 3D atrous convolution for hyperspectral image classification. Engineering Applications of Artificial Intelligence 126, pages 107070.
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Xiaoyan Wen, Xiaodong Yu, Yufan Wang, Cuiping Yang & Yu Sun. (2023) A Hybrid 3D–2D Feature Hierarchy CNN with Focal Loss for Hyperspectral Image Classification. Remote Sensing 15:18, pages 4439.
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Sen Jia, Zhichao Min & Xiyou Fu. (2023) Multiscale spatial–spectral transformer network for hyperspectral and multispectral image fusion. Information Fusion 96, pages 117-129.
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Baisen Liu, Yuanjia Liu, Wulin Zhang, Yiran Tian & Weili Kong. (2023) Spectral Swin Transformer Network for Hyperspectral Image Classification. Remote Sensing 15:15, pages 3721.
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Yinbin Peng, Jiansi Ren, Jiamei Wang & Meilin Shi. (2023) Spectral-Swin Transformer with Spatial Feature Extraction Enhancement for Hyperspectral Image Classification. Remote Sensing 15:10, pages 2696.
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Inés A. Cruz-Guerrero, Juan N. Mendoza-Chavarría, Daniel U. Campos-Delgado, Himar Fabelo, Samuel Ortega & Gustavo Marrero Callico. (2023) Classification of Brain Tissues in Hyperspectral Images Using Vision Transformers. Classification of Brain Tissues in Hyperspectral Images Using Vision Transformers.
Sude Gul Yel & Esra Tunc Gormus. (2023) Exploiting hyperspectral and multispectral images in the detection of tree species: A review. Frontiers in Remote Sensing 4.
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