TH1.M4.1
A NOVEL BUNDLE-BASED AUTOENCODER FOR HYPERSPECTRAL UNMIXING WITH SPECTRAL VARIABILITY
Shu Xiang, Xiaorun Li, Shuhan Chen, Zhejiang University, China
Session:
TH1.M4: Hyperspectral Unmixing I Oral
Track:
Data Analysis
Location:
Mezzanine: Room M4
Presentation Time:
Thursday, 7 August, 08:00 - 08:15
Session Co-Chairs:
Fengchao Xiong, Nanjing University of Science and Technology and Bobo Xi, Xidian University
Session TH1.M4
TH1.M4.1: A NOVEL BUNDLE-BASED AUTOENCODER FOR HYPERSPECTRAL UNMIXING WITH SPECTRAL VARIABILITY
Shu Xiang, Xiaorun Li, Shuhan Chen, Zhejiang University, China
TH1.M4.2: SYNTHESIS OF ABUNDANCE MAPS THROUGH BLIND HYPERSPECTRAL UNMIXING AND DEEP DIFFUSION MODELS
Martina Pastorino, University of Genoa, Italy; Michael Alibani, Nicola Acito, University of Pisa, Italy; Gabriele Moser, University of Genoa, Italy
TH1.M4.3: LIDAR-GUIDED FAST MULTIMODAL HYPERSPECTRAL UNMIXING
YANYUAN HUANG, YANFENG GU, TIANZHU LIU, Harbin Institute of Technology, China, China
TH1.M4.4: STRUCTURE LOW-RANK AND SELF-REPRESENTATION LEARNING FOR HYPERSPECTRAL NONLINEAR UNMIXING
jingyan zhang, Xiaoxiao Ma, Xi’an University of Posts and Telecommunications, China; Xiangrong Zhang, Xidian University, China
TH1.M4.5: HYPERSPECTRAL UNMIXING NETWORK BASED ON HYBRID SPECTRAL VARIABILITY MODEL
Jianing Huang, Hongyi Liu, Zhihui Wei, Nanjing University of Science and Technology, China
Resources