Speaker: Xian Sun

Affiliation: Aerospace Information Research Institute, Chinese Academy of Sciences

Academic title: Professor

Honorary title: National Young Talent Program

Abstract:

In order to solve the problems of small number of samples, strong noise interference, and difficulty in fine-grained identification in complex SAR scene interpretation, we aim to develop the algorithms that combine scattering characteristics and target mechanisms with multi-modality foundation model. Certain performance improvements have been achieved in land-cover and land-use classification and element extraction, effectively improving the performance of complex scene interpretation.

Biography:

Prof. Sun Xian's research direction is intelligent analysis of remote sensing data. He has presided over more than ten major national scientific research funding, published more than 70 SCI papers, 17 ESI highly cited papers, 2 monographs, and 24 authorized patents. He is an IET Fellow, selected into the National Young Talent Program and CICC Young Scientist Award. He has won 1 first prize of the National Science and Technology Progress Award, 4 provincial and ministerial awards including the Outstanding Achievement Award of the Chinese Academy of Sciences. Prof. Sun is also an Editorial board member of IEEE GRSL, Journal of Radar and other domestic and foreign journals.