Title :
Study on SAR target recognition based on Support Vector Machine
Author :
Tao, Wu ; Xi, Chen ; Xiangwei, Ruang ; Lei, Niu
Author_Institution :
No.38 Res. Inst., China Electron. Technol. Corp., Hefei, China
Abstract :
This paper studies MSTAR SAR target recognition with Support Vector Machine (SVM) classifier by using Principal Component Analysis (PCA) features, without consideration of errors in target aspect angle estimation. A good strategy is proposed to avoid errors in classifier selection for the errors in estimation of aspect angle. The experiments based on MSTAR data set show perfect results.
Keywords :
principal component analysis; radar target recognition; support vector machines; synthetic aperture radar; MSTAR SAR; PCA; SAR target recognition; SVM; angle estimation; principal component analysis; support vector machine; Constraint optimization; Error correction; Estimation error; Image recognition; Image segmentation; Principal component analysis; Radar imaging; Support vector machine classification; Support vector machines; Target recognition; PCA; SVM; Target recognition;
Conference_Titel :
Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
Conference_Location :
Xian, Shanxi
Print_ISBN :
978-1-4244-2731-4
Electronic_ISBN :
978-1-4244-2732-1
DOI :
10.1109/APSAR.2009.5374190
