IVMSP-L5.3
SPECTRAMORPH: STRUCTURED LATENT LEARNING FOR SELF-SUPERVISED HYPERSPECTRAL SUPER-RESOLUTION
Ritik Shah, Marco F Duarte, University of Massachusetts Amherst, United States of America
Session:
IVMSP-L5: Hyperspectral Image Processing Oral
Track:
Image, Video and Multidimensional Signal Processing [IV]
Location:
Room 120+121
Presentation Time:
Wed, 6 May, 09:40 - 10:00
Presentation
Discussion
Resources
No resources available.
Session IVMSP-L5
IVMSP-L5.1: HSSDCT: Factorized Spatial-Spectral Correlation for Hyperspectral Image Fusion
Chia-Ming Lee, National Yang Ming Chiao Tung University, Taiwan; Yu-Hao Ho, National Taiwan Normal University, Taiwan; Yu-Fan Lin, Jen-Wei Lee, National Cheng Kung University, Taiwan; Li-Wei Kang, National Taiwan Normal University, Taiwan; Chih-Chung Hsu, National Yang Ming Chiao Tung University, Taiwan
IVMSP-L5.2: Learning Non-Local Spatial-Spectral Correlation for Hyperspectral Image Super-Resolution
Baisong Li, Xingwang Wang, Jian Wu, Shengjie Zhang, Mengran Sun, Jilin University, China; Han Sun, School of Integrated Circuits, Tsinghua University, China
IVMSP-L5.3: SPECTRAMORPH: STRUCTURED LATENT LEARNING FOR SELF-SUPERVISED HYPERSPECTRAL SUPER-RESOLUTION
Ritik Shah, Marco F Duarte, University of Massachusetts Amherst, United States of America
IVMSP-L5.4: FDS-MANET: A HYPERSPECTRAL CLASSIFICATION NETWORK DRIVEN BY BIDIRECTIONAL MAMBA WITH FREQUENCY DOMAIN ENHANCEMENT AND GRAPH MODULATION
Jianghe Zhai, Zhiwen Zhang, Longlong Zhang, Yuanxi Peng, Tong Zhou, NUDT, China
IVMSP-L5.5: Cross-scene Hyperspectral Image Classification via Topology-Aware Learning without Source Data
Qingmei Li, Tsinghua University, China; Peifeng Zhang, Juepeng Zheng, Sun Yat-Sen University, China
IVMSP-L5.6: HIGH-QUALITY TRANSMISSION OF HYPERSPECTRAL IMAGE BASED ON SEMANTIC COMMUNICATION
Zhichao Gong, Minxi Yang, Danhua Liu, Xidian University, China
Contacts