Authors:
Bing Zhu
1
;
Weixin Gao
1
;
Yali Qin
2
;
Wenfeng Li
3
and
Xianglong Kong
3
Affiliations:
1
Xian Shiyou University, China
;
2
No.210 Institute China Aerospace Science and Technology Corporation, China
;
3
Shanghai Institute of Satellite Engineering, China
Keyword(s):
Sea Clutter Restraint, Time-frequency Transform, Invariant Moment Features, Rotate Plan, Recognition and Classification.
Related
Ontology
Subjects/Areas/Topics:
Adaptive Signal Processing and Control
;
Engineering Applications
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Robotics and Automation
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
Considering the impact of sea clutter on target classification and recognition, a method based on RBF is proposed to restrain the actual sea clutter, which can be converted the sea clutter into random noise. After denosing, a S transform time-frequency approach is used to obtain the two time-frequency distribution images. They are helicopter and propeller aircraft images with nosie. Then extracted the invariant moment features of images for target recognition. The simulation results have shown an average accuracy of 85%, which validates the effectiveness of this method.