MO4.R12.4
Offset-Supported Phase Unwrapping for X-band InSAR data: Application to the 2024–2025 Fentale-Dofen Dyke Intrusion
Weiyu Zheng, Juliet Biggs, Lin Way, University of Bristol, United Kingdom; Milan Lazecky, University of Leeds, United Kingdom; Raphael Grandin, Institut de Physique du Globe de Paris, France
Session:
MO4.R12: Model/data-driven phase unwrapping methods Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Mon, 10 Aug, 17:00 - 17:15
Presentation
Discussion
Resources
No resources available.
Session MO4.R12
MO4.R12.1: A THREE-DIMENSIONAL PHASE UNWRAPPING ALGORITHM FOR IMPROVED TEMPORAL CONSISTENCY IN PS-INSAR
Sijia Chen, Hanwen Yu, Yan Yan, Taoli Yang, University of Electronic Science and Technology of China, China
MO4.R12.2: A NOVEL THREE-PASS PHASE UNWRAPPING APPROACH FOR SNOW DEPTH ESTIMATION
Chenghao Lu, Hanwen Yu, Taoli Yang, University of Electronic Science and Technology of China, China
MO4.R12.3: A Minimax Branch-Cut Strategy for InSAR Phase Unwrapping
Xin Ye, Hanwen Yu, Taoli Yang, Yan Yan, Sijia Chen, Chenghao Lu, University Of Electronic Science And Technology Of China, China
MO4.R12.4: Offset-Supported Phase Unwrapping for X-band InSAR data: Application to the 2024–2025 Fentale-Dofen Dyke Intrusion
Weiyu Zheng, Juliet Biggs, Lin Way, University of Bristol, United Kingdom; Milan Lazecky, University of Leeds, United Kingdom; Raphael Grandin, Institut de Physique du Globe de Paris, France
MO4.R12.5: A Multi-Baseline Phase Unwrapping Method Based on VUR-Net
Fangqi Di, Fengming Hu, Fudan University, China
Contacts