SAR Image Target Extraction Based on 2-D Leapfrog Filtering

摘要：

This paper reveals that the classical R-D imaging algorithm can not remove the strong noise and extract the objects in R-D imaging image by their range and azimuth matching filters. Though 2-D DCT-DWT or 2-D DFT-DWT can be a 2-D filtering for the issue, while the algorithms need huge computation amount, they can not process SAR image real time. To solve the problem, this paper develops a new 2-D filtering algorithm based on 2-D leapfrog filter, which is good at extracting the SAR image target clearly. The 2-D recursive filter is of few multiplications for SAR image each pixel to realize fast and real-time image filtering. Practical experiments of SAR image processing have shown that the approach and algorithm are correct, effective and pragmatica1.

关键词： SAR Image Target Extraction 2-D Leapfrog Filtering

作者: Zhixing Liu Shaohai Hu Yang Xiao Guangzhi Qu Kiseon Kim

作者单位: Institute of Information Science, Beijing Jiaotong University, Beijing, China Dept.of Engineering and Computer Science, Oakland University, Rochester, MI48309, USA Dept.of Information and Communications, Gwangju Institute of Science and Technology Gwangju 500-712, Korea

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1943-1946

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）