WP2.L306.1
POLSAR IMAGE CLASSIFICATION BASED-ON SEMI-SUPERVISED POLARIMETRIC FEATURE SELECTION
Xiayuan Huang, Institute of Automation, Chinese Academy of Sciences, China
Session:
WP2.L306: Hyperspectral Imaging Classification Lecture
Track:
Applications of Machine Learning
Location:
Room 306
Presentation Time:
Wed, 11 Oct, 16:30 - 16:48 Malaysia Time (UTC +8)
Session Chair:
Sue Han Lee, Swinburne University of Technology
Session WP2.L306
WP2.L306.1: POLSAR IMAGE CLASSIFICATION BASED-ON SEMI-SUPERVISED POLARIMETRIC FEATURE SELECTION
Xiayuan Huang, Institute of Automation, Chinese Academy of Sciences, China
WP2.L306.2: FEW-SHOT HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON CROSS-DOMAIN SPECTRAL SEMANTIC RELATION TRANSFORMER
Mengxin Cao, Guixin Zhao, Aimei Dong, Guohua Lv, Ying Guo, Xiangjun Dong, Qilu University of Technology (Shandong Academy of Sciences), China
WP2.L306.5: FEW-SHOT HYPERSPECTRAL IMAGE CLASSIFICATION WITH SPECTRAL-SPATIAL FEATURE FUSION BASED ON FUZZY BROAD LEARNING SYSTEM
Xiaopei Hu, Guixin Zhao, Aimei Dong, Guohua Lv, Yi Zhai, Ying Guo, Xiangjun Dong, Qilu University of Technology (Shandong Academy of Sciences), China
Contacts