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.