TU1.M4: AI InSAR I
Tuesday, 5 August, 08:00 - 09:15
Location: Room M4
Session Type: Oral
Track: Community-Contributed Sessions
Tue, 5 Aug, 08:00 - 08:15

TU1.M4.1: AN ADVANCED DEEP-LEARNING-BASED APPROACH FOR ENHANCING INSAR PARAMETERS ESTIMATION
Luca Dell'Amore, German Aerospace Center (DLR), Germany; Giovanni Costa, Politecnico di Milano, Italy; Daniel Carcereri, German Aerospace Center (DLR), Germany; Begüm Demir, Technische Universität Berlin (TUB), Germany; Paola Rizzoli, German Aerospace Center (DLR), Germany
Tue, 5 Aug, 08:15 - 08:30

TU1.M4.2: Nonparametric Full-Aperture Autofocus Imaging for Microwave Photonic SAR
Jianlai Chen, Rongqi Xiong, Central South University, China; Hanwen Yu, University of Electronic Science and Technology of China, China; Gang Xu, Southeast University, China; Mengdao Xing, Xidian University, China
Tue, 5 Aug, 08:30 - 08:45

TU1.M4.3: InSAR-Based Prediction of Time-Series Displacements Using a New Physics-Informed Neural Network with Prior Parameter Inversion
Zefa Yang, Yucheng Xiang, Central South University, China; Cui Zhou, Central South University of Forestry and Technology, China; Zidu Ouyang, Central South University, China
Tue, 5 Aug, 08:45 - 09:00

TU1.M4.4: Comparison of statistically homogeneous pixel selection methods for phase estimation in distributed scatterer interferometry
Changjun Zhao, Hanwen Yu, University of Electronic Science and Technology of China, China; Xiaoping Li, Hui Li, Qiangjun Yang, China Geological Engineering Corporation, China
Tue, 5 Aug, 09:00 - 09:15

TU1.M4.5: Two-Stage Programming Multibaseline InSAR Phase Unwrapping Based on Unscented Kalman Filter and Particle Filter
Zhihui Yuan, Changsha University of Science and Technology, China; Hanwen Yu, Taoli Yang, Yan Yan, University of Electronic Science and Technology of China, China; Lifu Chen, Changsha University of Science and Technology, China