TU1.R2.1: A LOCALLY ENHANCED TRANSFORMER NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Wei Xiao, Shaoguang Huang, China University of Geosciences, China; Mbulisi Sibanda, University of the Western Cape, South Africa; Elhadi Adam, University of the Witwatersrand, South Africa; Hongyan Zhang, China University of Geosciences, China
TU1.R2.2: DOMAIN AWARE LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION USING SPECTRAL-SPATIAL FEATURES FROM EXTERNALLY LABELLED DATA
Shreyansh Aswal, Chaman Banolia, Shailesh Deshpande, TCS Research, India
TU1.R2.3: Non-overlapping Sampling with Extreme Data Utilization in Hyperspectral Imagery
Yanzi Shi, Chang'an University, China; Yuxuan Zheng, Xidian University, China; Yaping Yin, PLA Naval Submarine Academy, France; Wei Wang, Chang'an university, China
TU1.R2.4: PROTOTYPE-BASED INTER-INTRA DOMAIN ALIGNMENT NETWORK FOR UNSUPERVISED CROSS-SCENE HYPERSPECTRAL IMAGE CLASSIFICATION
Zhuojun Xie, Puhong Duan, Wang Liu, Xudong Kang, Shutao Li, Hunan University, China
TU1.R2.5: DEEP MULTITASK LEARNING WITH GRAPH CONSTRAINTS FOR HYPERSPECTRAL IMAGES OPEN-SET CLASSIFICATION
Na Li, Xiaopeng Song, Yinghui Quan, Wenxiang Zhu, Yongxu Liu, Xidian University, China
TU1.R2.6: Sparse Focus Network for Multi-Source Remote Sensing Data Classification
Xuepeng Jin, Junyan Lin, Feng Gao, Lin Qi, Ocean University of China, China; Yang Zhou, China Electronic Standardization Institute Huadong Branch, China
