Enhanced Target Extraction in Strong Clutter Scene

摘要：

　　Clutter suppression is always problematic in synthetic aperture radar (SAR) imaging.Especially when clutter is strong,inappropriate threshold on image amplitude may lead to failure to completely separate the background and the region of interest (ROI).Therefore,this paper firstly presents an adaptive threshold estimation method from the view of coherence.To protect weak scatterers,neighbored points around the extracted centers are also preserved.With the strong sparsity of the ROI in the image,the resolution of the extracted target region is enhanced by the sparse signal processing technique.Experimental results on simulated and real data both confirm its practicability.

关键词： Synthetic aperture radar(SAR) strong clutter target extraction sparse signal processing

作者: Jialian Sheng Guobin Jing Mengdao Xing

作者单位: National Lab of Radar Signal Processing Xidian University Xian, China

会议类型: 国际会议

会议名称: 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference(IAEAC 2015)(2015 IEEE先进信息技术,电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 411-414

在线出版日期: 2015-12-19（万方平台首次上网日期，不代表论文的发表时间）