TU3.R2: Deep Learning Methods for Inversion
Tue, 18 Jul, 13:00 - 14:15 Pacific Time (UTC -8)
Location: Room C
Session Type: Oral
Session Chair: John Kerekes, Rochester Institute of Technology
Session Manager: Ge Jiang
Track: Data Analysis
Tue, 18 Jul, 13:00 - 13:12 Pacific Time (UTC -8)

TU3.R2.1: DEEP LEARNING APPROACH FOR MICROWAVE INTERFEROMETRY IMAGE RECONSTRUCTION: APPLICATION TO THE SMOS SATELLITE

ALI KHAZAAL, RDIS Conseils, France; Richard Faucheron, Nemesio Rodriguez-Fernandez, CESBIO, France; Louise Yu, CNES, France; Eric Anterrieu, CESBIO, France
Tue, 18 Jul, 13:12 - 13:24 Pacific Time (UTC -8)

TU3.R2.2: TRANSFORMER AND CNN HYBRID NEURAL NETWORK FOR SEISMIC IMPEDANCE INVERSION
Chunyu Ning, Bangyu Wu, Xi'an Jiaotong University, China; Zhaolin Zhu, Hainan institute of Zhejiang University, China
Tue, 18 Jul, 13:24 - 13:36 Pacific Time (UTC -8)

TU3.R2.3: SPARSE DOA ESTIMATION BASED ON A DEEP UNFOLDED NETWORK FOR MIMO RADAR
Haoyang Tang, Yongchao Zhang, Jiawei Luo, Yin Zhang, Yulin Huang, Jianyu Yang, University of Electronic Science and Technology of China, China
Tue, 18 Jul, 13:36 - 13:48 Pacific Time (UTC -8)

TU3.R2.4: Towards the understanding of the C-Band temporal signature of boreal forest through physiology parameters retrieval from Sentinel-1 Time Series and Machine Learning
Thomas Di Martino, CentraleSupelec, ONERA, France; Regis Guinvarc'h, Laetitia Thirion-Lefevre, CentraleSupelec, France; Elise Colin, ONERA, France
Tue, 18 Jul, 13:48 - 14:00 Pacific Time (UTC -8)

TU3.R2.5: PARAMETER RETRIEVAL OF ATTRIBUTED SCATTERING CENTER IN SAR IMAGE USING REINFORCEMENT LEARNING
Jiacheng Chen, Bo Long, Haipeng Wang, Fudan University, China
Tue, 18 Jul, 14:00 - 14:15 Pacific Time (UTC -8)

TU3.R2.D: Discussion