FR3.M4.1
TEMPLATE-DRIVEN INTERACTION FOR HYPERSPECTRAL VIDEO OBJECT TRACKING
Yuzeng Chen, Qiangqiang Yuan, Yi Xiao, Wuhan University, China
Session:
FR3.M4: Multi-modality Hyperspectral Data Analysis Oral
Track:
Data Analysis
Location:
Mezzanine: Room M4
Presentation Time:
Friday, 8 August, 13:15 - 13:30
Session Co-Chairs:
Jocelyn Chanussot, INRIA and Binhui Wang, Hubei University of Technology
Session FR3.M4
FR3.M4.1: TEMPLATE-DRIVEN INTERACTION FOR HYPERSPECTRAL VIDEO OBJECT TRACKING
Yuzeng Chen, Qiangqiang Yuan, Yi Xiao, Wuhan University, China
FR3.M4.2: HYPERSPECTRAL OBJECT TRACKING USING SPECTRAL ADAPTIVE IMAGING MODEL
Yuning Wang, Mingyang Ma, Northwestern Polytechnical University, China; Zhiyong Wang, The University of Sydney, Australia; Shaohui Mei, Yan Feng, Northwestern Polytechnical University, China
FR3.M4.3: WAVEFORM INFORMATION ACCURATE EXTRACTION FOR COMPLEX HYPERSPECTRAL LIDAR WAVEFORMS
Binhui Wang, Jiahang Wan, Hubei University of Technology, China; Jia Sun, China University of Geosciences, China; Yunfan Chen, Jie Li, Jingmin Tu, Hubei University of Technology, China
FR3.M4.4: HYPERSPECTRAL AND MULTISPECTRAL IMAGE FUSION VIA MULTI-SCALE CNN-MAMBA NETWORK
Jiahui Zhao, Yuxuan Zheng, Xidian University, China; Yanzi Shi, Chang'an University, China; Keyan Wang, Xianyun Wu, Yunsong Li, Xidian University, China
FR3.M4.5: CROSS-MODALITY LEARNING PRIVILEGED INFORMATION FOR MULTIMODAL DATA
Quanwei Liu, Tao Huang, James Cook University, Australia; Yanni Dong, Wuhan University, China; Wei Xiang, La Trobe University, Australia
Resources