MO4.R9.3
A NOVEL METHOD OF THIN CLOUD REMOVAL FOR REMOTE SENSING IMAGES
Zhiqi Qiu, Runnan Lu, Zezhong Zheng, Siyi Qin, University of Electronic Science and Technology of China, China
Session:
MO4.R9: Advanced Signal Processing for Geoscience, Remote Sensing, and Future Earth Observations (2/3) Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Mon, 10 Aug, 16:45 - 17:00
Session Co-Chairs:
Joko Suryana, Institut Teknologi Bandung and Andriyan Bayu Suksmono, Institut Teknologi Bandung
Presentation
Discussion
Resources
No resources available.
Session MO4.R9
MO4.R9.1: IMAGE RECOVERY METHODS FOR FREE-FLYING SYNTHETIC APERTURE RADIOMETERS
Matas Gelžinis, Alexander Wittig, University of Southampton, United Kingdom
MO4.R9.2: Unsupervised Anomaly Segmentation for Multispectral Remote Sensing Imagery
Xiao Yang, Jingtao Li, Yanfei Zhong, Wuhan university, China
MO4.R9.3: A NOVEL METHOD OF THIN CLOUD REMOVAL FOR REMOTE SENSING IMAGES
Zhiqi Qiu, Runnan Lu, Zezhong Zheng, Siyi Qin, University of Electronic Science and Technology of China, China
MO4.R9.4: UniDiff: A Unitary-Attention Guided Complex-Valued Diffusion Model for PolSAR
Chenxin Li, The University of Tokyo, Japan; Yicheng Song, Nagoya Institute of Technology, Japan; Akira Hirose, Ryo Natsuaki, The University of Tokyo, Japan
MO4.R9.5: MULTISTATIC RADAR SOUNDER SYNCHCHRONIZATION
Andy Bellemere, John Paden, Daniel Gomez-Garcia, Carl Leuschen, Fernando Rodriguez-Morales, University of Kansas, United States
Contacts