CFAR Detection of SAR Fusion Images

摘要：

The pixel-level fusion of several SAR images can improve the target detection. While the fusion image is different in many aspects from the single image, the methods of detection need to be researched. CFAR algorithm, a classic target detection method, applies widely to the target detection of single SAR image for its better detection performance and quicker detection speed. This paper combines the pixel-level fusion principle based on probability feature to deduce the CFAR detection threshold formula and to propose the CFAR detection method of pixel-level fusion image from the probability distribution feature. Finally, this method is confirmed with the simulated results.

关键词： SAR target detection CFAR image fusion simulation

作者: Xianghua Liu Wei Wang Yinqing Zhou

作者单位: School of Electronics and Information Engineering, Beijing University of Aeronautics and Astronautics Xue Yuan Road 37, Haidian District, Beijing, P.R.China

会议类型: 国际会议

会议名称: 2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)

会议地点: 厦门

会议语种:英文

页码: 39-42

在线出版日期: 2010-04-12（万方平台首次上网日期，不代表论文的发表时间）