| Di Wu, Institute for Digital Communications (IDCOM), University of Edinburgh |
| Tue 26 Apr 2016, 13:30 - 14:00 |
| AGB Seminar Room, AGB Building, King’s Buildings, EH9 3JL |
If you have a question about this talk, please contact: Iman Tavakkolnia (s1371647)
Abstract: One appealing application for SAR (Synthetic Aperture Radar) is GMTI (Ground Moving Target Indicator) which aims at revealing the moving targets in the SAR images. The typical SAR imaging method, i.e. back-projection, is essentially approximating the solution of an optimization problem with a projection operator. This encourages us to think about GMTI from the optimization perspective. This talk will present a new approach for decoupling the slowly-moving targets and the clutter under multi-channel SAR scenarios. Given the phase histories received by different channels, the high-level data structures, e.g. the sparsities of moving targets, enable us to enforce advanced constraints on an optimisation problem to distinguish the dynamic targets from static background.
Biography: Di Wu received his B.S. degree (1st Hons) in Electronics & Information Engineering from Xi'an Jiaotong University, China in 2011. After that, he obtained a MSc degree (Distinction) in Computing (Artificial Intelligence) from the Imperial College London, UK. In 2013, he was working on EEG as a R&D engineer in the Tatwah SmartechCO., Limited. He is currently a PhD student in the school of engineering at the University of Edinburgh, where he is under the supervision of Professor Michael Davies. His research interests include compressed sensing and sparse representations.