TU3.R13.3
SUB-PIXEL FOREST CLASSIFICATION FUSING PRISMA HYPERSPECTRAL AND DEM DATA WITH A HIERARCHY-AWARE MULTI-BRANCH CNN
Mattia Ferrari, Lorenzo Bruzzone, University of Trento, Italy
Session:
TU3.R13: Hyperspectral Image Classification Oral
Track:
Theory and Techniques
Location:
TBD
Presentation Time:
Tue, 11 Aug, 14:15 - 14:30
Presentation
Discussion
Resources
No resources available.
Session TU3.R13
TU3.R13.1: Hyperspectral image cross-sample attention classification network for few-shot learning
Yueen Hou, Boxian Wang, Zhijian Luo, Kekun Huang, Jiaying University, China
TU3.R13.2: A LIGHTWEIGHT MAMBA FOR MULTI-MODAL REMOTE SENSING IMAGE CLASSIFICATION
Diling Liao, Junyi Liu, Yusheng Ding, Cuilin Yu, Qingsong Wang, Haifeng Huang, Sun Yat-sen University, China
TU3.R13.3: SUB-PIXEL FOREST CLASSIFICATION FUSING PRISMA HYPERSPECTRAL AND DEM DATA WITH A HIERARCHY-AWARE MULTI-BRANCH CNN
Mattia Ferrari, Lorenzo Bruzzone, University of Trento, Italy
TU3.R13.4: ALTERNATE LEARNING STRATEGY FOR JOINT HYPERSPECTRAL IMAGE CLASSIFICATION FROM DIFFERENT SOURCES
Xinran Li, Jie Xie, Cheng Wu, Jin Zhang, Soochow University, China
TU3.R13.5: Tensorized high-order hypergraph convolutional network for hyperspectral image classification
Jin-Yu Yang, Jing-Hua Yang, Heng-chao Li, Southwest Jiaotong University, China; Shaohui Mei, Northwestern Polytechnical University, China; Qian Du, Mississippi State University, United States; Antonio Plaza, University of Extremadura, Spain
Contacts