| Paper Title |
WU-Net: A Weakly-supervised Unmixing Network for Remotely Sensed Hyperspectral Imagery |
| Paper Identifier | TU4.R11.5 |
|---|
| Authors |
Danfeng Hong, German Aerospace Center (DLR) / Technical University of Munich (TUM), Germany; Jocelyn Chanussot, Univ. Grenoble Alpes, CNRS, Grenoble INP, France; Naoto Yokoya, RIKEN Center for Advanced Intelligence Project (AIP), Japan; Uta Heiden, Wieke Heldens, German Aerospace Center (DLR), Germany; Xiao Xiang Zhu, German Aerospace Center (DLR) / Technical University of Munich (TUM), Germany |
| Session |
Unmixing Techniques for Hyperspectral Images III |
| Location |
Room 419 |
| Session Time |
Tuesday, 30 July, 17:40 - 18:00 |
| Presentation Time |
Tuesday, 30 July, 17:40 - 18:00 |
| Presentation Mode |
Oral
|
| Topic |
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR): Target Detection and Unmixing
|
