• 传感器与信号处理 •

面向SAR图像目标识别的鲁棒处理算法

1. 1. 南京航空航天大学自动化学院， 江苏 南京 210016； 
2. 空军驻京昌地区军事代表室， 北京 100041；
3. 南京航空航天大学航天学院， 江苏 南京 210016； 
4. 南京航空航天大学民航学院， 江苏 南京 210016
• 出版日期:2013-12-24 发布日期:2010-01-03

Robust processing algorithm for SAR image target recognition

LIU Zhong-jie1，2， CAO Yun-feng3， ZHUANG Li-kui3， DING Meng4， WANG Xi-chao1

1. 1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
2.Air Force Military Representative Office in Jingchang District, Beijing 100041, China;
3. College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; 
4. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
• Online:2013-12-24 Published:2010-01-03

Abstract:

With the existing synthetic aperture radar (SAR) image target recognition algorithm, image preprocessing has to be usually carried out. Preprocessing has a significant impact on the recognition rate. However, the adaptability of the preprocessing algorithm is difficult to be guaranteed. This paper proposes to apply the theory of kernel principal component analysis (KPCA) and sparse representation to the image to be recognited, thus achieving a target recognition result possessing a  high recognition rate with only a few observation data and saving the data storage and computation. This paper describes the basic theory of compressed sensing first, and proposes an SAR image target recognition algorithm based on KPCA and sparse representation. An experiment is carried out with five kinds of SAR targets in the MSTAR database. The simulation results show that this proposed algorithm is still able to recognize the target effectively without prediction of the attitude angle. Compared with other recognition algorithms, it has a higher recognition rate to the image under the noise pollution on an equal basis.