Speaker: Hui Bi

Affiliation: Nanjing University of Aeronautics and Astronautics

Academic title: Professor

Abstract:

The seminar presents the recent research progress on sparse SAR imaging to deal with a few key issues for practical synthetic aperture radar (SAR) systems. In particular, we describe 1) the mode design scheme of the spaceborne sparse SAR imaging mode so as to obtain wider swath; 2) several fast sparse SAR imaging techniques that makes real-time reconstruction of large-scale scene possible; 3) the regularization recovery technique that preserves the phase information and statistical distribution of recovered image, so that sparse recovered results can be used for many applications, such as 3D/4D imaging and CFAR detection.

Biography:

Hui Bi was born in Shandong, China, in 1991. He received the Ph.D degree in Signal and Information Processing from University of Chinese Academy of Sciences (UCAS), Beijing, China, in 2017. He was a Research Fellow with the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore, from 2017 to 2018. Since 2018, he has been working in the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics (NUAA), China. His main research interests are sparse microwave imaging with compressive sensing, synthetic aperture radar data processing and application, sparse signal processing, and tomographic SAR imaging.