MO3.R12.3
AN LSTM BASED APPROACH FOR DINSAR DEFORMATION RETRIEVAL
Alessia Giaquinto, Gianpaolo Passarello, Sergio Vitale, Giampaolo Ferraioli, Silvio del Pizzo, University of Naples Parthenope, Italy; Antonio Rainone, Donato Fiore, Socotec Italia srl, Italy
Session:
MO3.R12: AI InSAR Oral
Track:
Community Contributed Themes
Location:
Georgetown East
Presentation Time:
Monday, 10 August, 14:15 - 14:30
Presentation
Discussion
Resources
No resources available.
Session MO3.R12
MO3.R12.1: DEEP LEARNING-BASED DENOISING OF UNWRAPPED INTERFEROGRAMS
Robert Popescu, Juliet Biggs, Nantheera Anantrasirichai, University of Bristol, United Kingdom
MO3.R12.2: MULTIPOLARIMETRIC INTERFEROMETRIC PHASE ESTIMATION USING DUAL CO-POLARIMETRIC SAR DATA
Changjun Zhao, Hanwen Yu, Taoli Yang, Jinchi Zhang, Wentong Wu, University of Electronic Science and Technology of China, China
MO3.R12.3: AN LSTM BASED APPROACH FOR DINSAR DEFORMATION RETRIEVAL
Alessia Giaquinto, Gianpaolo Passarello, Sergio Vitale, Giampaolo Ferraioli, Silvio del Pizzo, University of Naples Parthenope, Italy; Antonio Rainone, Donato Fiore, Socotec Italia srl, Italy
MO3.R12.4: A RECONSTRUCTION ALGORITHM FOR MULTI-CHANNEL SAR SIGNALS USING NUFFT
Caihua Liu, Taoli Yang, Hanwen Yu, Xuewen Zhou, Leilei Yang, Chenghao Lu, University of Electronic Science and Technology of China, China
Resources
No resources available.