Title :
SAR ATR based on Support Vector Machines and Independent Component Analysis
Author :
Maokuan, Li ; Jian, Guan ; Hui, Duan ; Xin, Gao
Author_Institution :
Naval Aeronaut. Eng. Acad., Yantai
Abstract :
In this paper, a SAR (synthetic aperture radar) ATR algorithm based on support vector machines (SVMs) and independent component analysis (ICA) is proposed. Features of SAR images are extracted using ICA firstly, then we test our method on MA STAR database by using support vector machines classifier. The experiment result shows that the performance of this method is superior to other methods
Keywords :
feature extraction; image classification; radar imaging; radar target recognition; statistical analysis; support vector machines; synthetic aperture radar; ICA; MA STAR database; SAR ATR; SVM classifier; automatic target recognition; images extraction; independent component analysis; support vector machines; synthetic aperture radar; Aerospace engineering; Independent component analysis; Kernel; Lagrangian functions; Spatial databases; Support vector machine classification; Support vector machines; Synthetic aperture radar; Target recognition; Underwater vehicles; Automatic Target Recognition; Independent Component Analysis; Support Vector Machines; synthetic aperture radar;
Conference_Titel :
Radar, 2006. CIE '06. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-9582-4
Electronic_ISBN :
0-7803-9583-2
DOI :
10.1109/ICR.2006.343438
