TUP1.PB.8
PIXEL TRANSFORMER BASED COMPLEX-VALUED FUSION NETWORK FOR JOINT HYPERSPECTRAL-LIDAR CLASSIFICATION
Tianwu Lin, Harbin Institute of Technology, China; Yu Xia, Pengcheng Laboratory, China; Shuai Yuan, The University of Hong Kong, China; Xiangyu Liu, Jie Wang, Pengcheng Laboratory, China; Bin Cao, Harbin Institute of Technology, China
Session:
TUP1.PB: Hyperspectral Image Classification and Analysis Poster
Track:
Theory and Techniques
Location:
TBD
Presentation Time:
Tue, 11 Aug, 09:45 - 11:00
Presentation
Discussion
Resources
No resources available.
Session TUP1.PB
TUP1.PB.1: Subpixel-Aware Domain Generalization for Cross-Scene Hyperspectral Image Classification
Zhu Han, Beijing University of Technology, China; Jingru Wang, The Chinese University of Hong Kong, China; Zhi Li, University of Chinese Academy of Sciences, China
TUP1.PB.2: AN EFFICIENT HIERARCHICAL SPIKING NEURAL NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION ON EDGE DEVICES
Suting Huang, Dexin Chen, Liang Xiao, Nanjing University of Science and Technology, China
TUP1.PB.3: AN ALGORITHM FOR INTEGRATING SPECTRAL AUGMENTED FEATURES WITH GAUSSIAN MIXTURE MODEL FOR TREE BRANCH AND LEAF CLASSIFICATION BASED ON HYPERSPECTRAL LIDAR DATA
Zhaoyu Liu, Yi Lin, Peking University, China; Lei Yan, Peking University, Universiti Tunku Abdul Rahman, China; Chia Ming Toh, Universiti Tunku Abdul Rahman, Malaysia; Hongying Zhao, Kunyi Chen, Tianchi Xu, Shuai Li, Peking University, China; Hongxuan Zhao, Beijing Research Institute of Uranium Geology, China; Daping Liu, Peking University, China
TUP1.PB.4: A Trust-Aware Hybrid Distillation Method for Explainable Hyperspectral Image Classification
Gulsen Taskin, Istanbul Technical University, Türkiye
TUP1.PB.5: HYPERSPEC: A COMPREHENSIVE PYTHON PACKAGE FOR HYPERSPECTRAL SATELLITE DATA
Abdelrahman Saleh, University of Manitoba, Canada; Keely Roth, Geert Barentsen, Planet Labs, United States; Nasem Badreldin, University of Manitoba, Canada
TUP1.PB.6: LEARNING ADAPTIVE SPATIAL CONTEXT VIA AN AGENTIC VISION TRANSFORMER FRAMEWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Shashi Kiran Chandrappa, Sidike Paheding, Fairfield University, United States
TUP1.PB.7: A LOCAL–GLOBAL DUAL-AXIS MAMBA NETWORK FOR HYPERSPECTRAL CROP CLASSIFICATION
Yating Wang, Ying Zhang, Gang Wang, Haoyu Zhao, Caicui Li, University of Electronic Science and Technology of China, China
TUP1.PB.8: PIXEL TRANSFORMER BASED COMPLEX-VALUED FUSION NETWORK FOR JOINT HYPERSPECTRAL-LIDAR CLASSIFICATION
Tianwu Lin, Harbin Institute of Technology, China; Yu Xia, Pengcheng Laboratory, China; Shuai Yuan, The University of Hong Kong, China; Xiangyu Liu, Jie Wang, Pengcheng Laboratory, China; Bin Cao, Harbin Institute of Technology, China
TUP1.PB.9: CROSS-REGION SPECTRAL DIVERSITY LEARNING FOR HYPERSPECTRAL BAND SELECTION
Yunfei Xu, Xiaodi Shang, Yingying Chu, Xudong Sun, Qingdao University, China
TUP1.PB.10: MULTI-OBJECTIVE MULTI-SWARM COOPERATIVE PARTICLE SWARM OPTIMIZATION-BASED BAND SELECTION FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Wenmin Xu, Yihao Huang, Xiaodi Shang, Xudong Sun, Qingdao University, China
TUP1.PB.11: DUAL-NEIGHBORHOOD CONSTRAINED BAND SELECTION FOR HYPERSPECTRAL IMAGERY
Shuying Du, Xudong Sun, Yingying Chu, Xiaodi Shang, Qingdao University, China
Contacts