Synthetic Aperture Radar Identification Based on Information Fusion

摘要：

In this paper,a novel method based on data fusion for identifying synthetic aperture radar is introduced.Basic Probability Assignment Function obtaining of D-S evidence theory is a difficult problem. The method of obtaining BPAF based on feature parameters resemble is proposed. The synthetiC aperture radar identification fusion model based on obtaining BPAF method is constructed and synthetiC aperture radar identification experiments are done.Results show that obtaining BPAF method of this paper is effective.New identification model performs much better than template matching model.

关键词： SAR identification Evidence theory Information fusion

作者: Li Nan Qu Changwen Su Feng Ping Dianfa

作者单位: Electronic and Information Engineering Dept Naval Aeronautical and Astronautical University Yantai 264001,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: 481-484

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）