WE3.P11: AI Impact and On-board Hyperspectral Data Analytics I
Wednesday, 6 August, 13:15 - 14:30
Location: Room P11
Session Type: Oral
Track: Community-Contributed Sessions
Wed, 6 Aug, 13:15 - 13:30

WE3.P11.1: AN EFFICIENT MULTI-DIRECTION STATE SPACE MODEL FOR HYPERSPECTRAL RECONSTRUCTION
Chengle Zhou, Zhi He, Li Wang, Sun Yat-Sen University, China
Wed, 6 Aug, 13:30 - 13:45

WE3.P11.2: Low-Rank and Sparse Prior-Informed Class-Subspace Learning Network for Hyperspectral Image Classification
Xiangyu Nie, Zhaohui Xue, Hohai University, China
Wed, 6 Aug, 13:45 - 14:00

WE3.P11.3: Foundation Model for Multi-sources Hyperspectral Images Interpretation
Baisen Liu, Xinyao Li, Heilongjiang Institute of Technology, China; Wen Zhang, Shanghai Surveying and Mapping Institute, China; Weili Kong, Harbin Engineering University, China
Wed, 6 Aug, 14:00 - 14:15

WE3.P11.4: SAMPLE SIMILARITY-GUIDED SPATIAL-SPECTRAL MASKED AUTOENCODER FOR HYPERSPECTRAL ANOMALY DETECTION
Zhe Zhao, Jiajia Zhang, Jiangluqi Song, Pei Xiang, Xidian University, China; Dong Zhao, Wuxi University, China; Huixin Zhou, Xidian University, China
Wed, 6 Aug, 14:15 - 14:30

WE3.P11.5: GRAPH COLLABORATIVE REPRESENTATION WITH LOW-RANK DISCRIMINATIVE DICTIONARY FOR HYPERSPECTRAL ANOMALY DETECTION
Yufan Yang, Weimeng Xu, Hui Shen, Hengyi Zheng, Hongjun Su, Hohai University, China; Qian Du, Mississippi State University, United States