Speaker: Xiaolong Chen

Affiliation: Naval Aviation University (NAU)

Academic title: Professor

Honorary title: Excellent Young Scholar from the National Natural Science Foundation of China Senior Member, IEEE

Abstract:

The  environment  of the  sea  is  complex  and  the  objects  at  sea  are  diverse,  so  it  is  faced  with  the difficult problem of information processing in the complex environment. In the process of application in  complex  sea  environment,  the  existing  methods  are  difficult  to  match   accurately  with  the  real working  background  and target characteristics. This talk will introduce the research progress  of deep learning method for radar marine target  detection  from  two  aspects  of multi-dimensional     signal  and radar  image  processing.  Based  on  the developed      intelligent     processing     platform     for     radar marine     target     detection,     the     proposed     methods      and practical processing results are given, which provide a new technical approach for target intelligent detection in complex sea environment.

Biography:

Xiaolong  Chen  (Senior  Member,  IEEE)  is  professor  with  Naval  Aviation  University  (NAU)  .  His current research interests include radar signal processing, especially for marine target detection, moving target  detection, micro-Doppler,  and clutter  suppression  and  also AI  for radar target  detection . Prof. Chen was a recipient of the Excellent Young Scholar from the National Natural Science Foundation of China.