TU4.R19.3
SELF-SUPERVISED SAR DESPECKLING VIA TRAINABLE WAVELET TRANSFORM
Ryoya Tsuruga, Takeshi Amishima, Meiji University, Japan; Seisuke Fukuda, Japan Aerospace Exploration Agency, Japan
Session:
TU4.R19: Modeling in Radar Remote Sensing Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Tue, 11 Aug, 16:45 - 17:00
Presentation
Discussion
Resources
No resources available.
Session TU4.R19
TU4.R19.1: Fast Hybrid Multiple Scattering Theory (FHMST) for VOD of Corn Plants in Field-Scale Croplands
Enes Koc, University of Michigan, United States; Tien-Hao Liao, National Taipei University of Technology, Taiwan; Zhenming Huang, Leung Tsang, University of Michigan, United States
TU4.R19.2: A THEORETICAL STUDY OF AMBIENT NOISE INTERFEROMETRY
Secil Dogan, Joel Johnson, The Ohio State University, United States; Julien Chaput, University of Texas at El Paso, United States; David Hysell, Cornell University, United States; Emre Ertin, The Ohio State University, United States
TU4.R19.3: SELF-SUPERVISED SAR DESPECKLING VIA TRAINABLE WAVELET TRANSFORM
Ryoya Tsuruga, Takeshi Amishima, Meiji University, Japan; Seisuke Fukuda, Japan Aerospace Exploration Agency, Japan
TU4.R19.4: DEVELOPMENT OF A PHYSICS-BASED FORWARD MODEL FOR MULTI-FREQUENCY RADAR BACKSCATTER: INTEGRATING REALISTIC SNOW MICROSTRUCTURE
Hanie Sanaei, Paul Siqueira, University of Massachusetts Amherst, United States
TU4.R19.5: SCATTERING PROPERTIES OF PYROMETEORS AT MICROWAVE FREQUENCIES
Yuxin Miao, Zhenhai Qin, Aonan He, University of Science and Technology of China, China; Yuping Sun, China Jiliang University, China; Yong Jiang, Qixing Zhang, University of Science and Technology of China, China
Contacts