The following publications are possibly variants of this publication:
- Convolution Enhanced Spatial-Spectral Unified Transformer Network for Hyperspectral Image ClassificationZiqi Xin, Zhongwei Li, Mingming Xu, Leiquan Wang, Xue Zhu. igarss 2022: 2267-2270 [doi]
- Hyperspectral Image Classification Based on Multi-Level Spectral-Spatial Transformer NetworkHao Yang, Haoyang Yu, Danfeng Hong, Zhen Xu, Yulei Wang, Meiping Song. whispers 2022: 1-4 [doi]
- End-to-End Convolutional Network and Spectral-Spatial Transformer Architecture for Hyperspectral Image ClassificationShiping Li, Lianhui Liang, Shaoquan Zhang, Ying Zhang, Antonio Plaza, Xuehua Wang. remotesensing, 16(2):325, January 2024. [doi]
- Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial ClassificationKaiqiang Zhu, Yushi Chen, Pedram Ghamisi, Xiuping Jia, Jón Atli Benediktsson. remotesensing, 11(3):223, 2019. [doi]
- MSTNet: A Multilevel Spectral-Spatial Transformer Network for Hyperspectral Image ClassificationHaoyang Yu 0001, Zhen Xu, Ke Zheng, Danfeng Hong, Hao Yang, Meiping Song. tgrs, 60:1-13, 2022. [doi]
- Convolutional Transformer Network for Hyperspectral Image ClassificationZhengang Zhao, Dan Hu, Hao Wang, Xianchuan Yu. lgrs, 19:1-5, 2022. [doi]