Study on SAR Target Recognition Based on Support Vector Machine

摘要：

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.

关键词： Target recognition SVM PCA

作者: Wu Tao Chen Xi Ruang Xiangwei Niu Lei

作者单位: No.38 Research Institute of China Electronic Technology Corporation,Hefei,230031,China

会议类型: 国际会议

会议名称: 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)

会议地点: 西安

会议语种:英文

页码: 856-859

在线出版日期: 2009-10-26（万方平台首次上网日期，不代表论文的发表时间）