A SVR-BASED SAR TARGET AZIMUTH FUSION ESTIMATION

摘要：

In SAR ATR,target azimuth estimation is one of the important pre-processing steps. Accurate estimation will bring a higher recognition rate. This paper presents a novel target azimuth estimation algorithm based on SVR with feature fusion.First target imaging pose is estimated roughly by long-edge fitting (LF) and ridgelet transform (RT) respectively,then SVR estimators are trained by the above estimated results which are combined together as the sample features.With the SVR,SAR target azimuth can be estimated more accurately.Experimental results with Moving and Stationary Target Acquisition and Recognition (MSTAR) database show the proposed method is effective,and can give better estimation performance than that either by LF or RT.

关键词： SAR image target azimuth estimation automatic target recognition (ATR) support vector regression (SVR) fusion estimation

作者: Ping Han Zeyu Han Renbiao Wu

作者单位: Tianjin Key Laboratory of Advanced Signal Processing P.O.Box 9,North Campus,Civil Aviation University of China,Tianjin,300300,P.R.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: 169-172

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）