Novel Approach of SAR Target Classification Utilizing Aspect Information

摘要：

Aiming at the computational burden of template-based sAR target classification,an approach of SAR target classification utilizing aspect information is presented.First,estimate target aspect from peaks. Then consider the aspect as cueing information to reduce the search space.Finally the candidate target is declared by matching against those templates under aspect constraint. The proposed method is evaluated on MSTAR SAR target imagery,and the experimental results indicate that it achieves improved efficiency as well as comparable performance,compared with direct correlation method.

关键词： Synthetic Aperture Radar (SAR) Target Classification Aspect Information Correlation

作者: H.Ren K.F.Ji A.B.Zhang S.L.Zhou

作者单位: School of Electronic Science and Engineering,National University of Defense Technology,Changsha,410073

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: 477-480

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）