MO3.R9.5
Hierarchical Low-Rank SAR Image Denoising via Deep Unfolding and Adaptive Prior Knowledge
Siyuan Fang, Sirui Tian, Nanjing University of Science and Technology, China
Session:
MO3.R9: Advanced Signal Processing for Geoscience, Remote Sensing, and Future Earth Observations (1/3) Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Mon, 10 Aug, 14:45 - 15:00
Session Co-Chairs:
Andriyan Bayu Suksmono, Institut Teknologi Bandung and Akira Hirose, The University of Tokyo
Presentation
Discussion
Resources
No resources available.
Session MO3.R9
MO3.R9.1: PHYSICS-BASED MODELING AND MEASUREMENT OF SYNTHETIC ULTRA-WIDEBAND RADAR USING DISJOINT S AND C-BAND SUBBANDS
Joko Suryana, Andriyan Bayu Suksmono, Ali Rhomadhoni, Institut Teknologi Bandung, Indonesia; William D Lukito, Wei Xiang, La Trobe University, Australia
MO3.R9.2: SAR Anomaly Detection With Complex-Valued Variational Autoencoders
Xuan Huy Nguyen, Jérémy Fix, Chengfang Ren, Jean-Philippe Ovarlez, CentraleSupelec, France; Joana Frontera-Pons, ONERA, France
MO3.R9.3: SAR Texture Tracking for Glacier Velocity Estimation with Student t-distribution
Joana Frontera-Pons, Hubert Cantalloube, ONERA, France
MO3.R9.4: Color-Aware Multi-Scale Super-Resolution Network for Vegetation Imagery Features
Jiarui Li, Huiting Li, Hongyan Tan, Jie Chen, Central South University, China
MO3.R9.5: Hierarchical Low-Rank SAR Image Denoising via Deep Unfolding and Adaptive Prior Knowledge
Siyuan Fang, Sirui Tian, Nanjing University of Science and Technology, China
Contacts