Speaker: Gui Gao

Affiliation: Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University

Academic title: Professor

Abstract:

In full-polarization synthetic aperture radar (SAR), model-based decomposition methods are widely used for inversion and interpreting ground features and constitute an important approach to understand the behaviors of backscattering. However, due to wide differences between land and marine environments, different man-made and natural vegetation scatterer structures make existing decomposition models unable to reasonably characterize scatterers on ships. First, a four-component decomposition model suitable for describing the scattering characteristics of ships is proposed. Second, a scattering characteristic-aware fully polarized SAR ship detection network is designed to make full use of the scattering components in the decomposition model.

Biography:

Gui Gao received his B.S., M.S., and Ph.D. degrees from the National University of Defense Technology (NUDT), Changsha, China, in 2002, 2003, and 2007, respectively. In 2007, he joined the Faculty of Information Engineering, School of Electronic Science and Engineering, NUDT, as an associate professor. In 2017, he joined the Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China, where he is currently a professor. He has authored more than 100 journal and conference papers and written eight books and an English chapter. He has received numerous awards, including the Excellent Master Thesis of Hunan Province in 2006, Excellent Doctor Thesis in 2008, and Outstanding Young People in NUDT and Hunan Province of China in 2014 and 2016 as well as a first-class Prize of Science and Technology Progress and a Natural Science in Hunan Province award. He was also selected as an Academic and technical leader in Sichuan Province, an Expert of Sichuan Provincial Thousand Talents Plan, a Young Talent of Hunan, a Lecture Professor of "Minjiang Scholars" in Fujian Province, and supported by the Excellent Young People Science Foundation of the National Natural Science Foundation of China. He is also the leaders of Sichuan Natural Science Foundation Innovation Group and the Innovation Team of the Ministry of Education of China. He is the lead guest editors of IEEE GRSM, JAP, IJAP, the guest editor of Remote Sensing, and an associate editor and the lead guest editor of IEEE JSTARS, and he is on the editorial board of Chinese Journal of Radars.