Resolution Enhancement Based on Sparse Distributions of Complex-valued SAR Image

摘要：

According to the sparsity nature of SAR images, the enhancement of the resolution of objects is investigated. Ideal SAR images may be modeled as a small number of dominant scatterers in a nearly black background. Therefore, sparse statistical distributions should be considered to model the complex-valued SAR images. With a statistical perspective, we follow the MAP criterion and present models to enhance the resolution of objects in SAR images. And an iterative algorithm is presented. Numerical simulations using MSTAR data demonstrate the effective performance of resolution enhancement and the computational efficiency.

作者: Wang Guangxin Wang Zhengming Xiao Wu

作者单位: College of science,National University of Defense Technology,Changsha 410073,China;Guilin Airforce C College of science,National University of Defense Technology,Changsha 410073,China Guilin Airforce College,Guilin 541003,China

会议类型: 国际会议

会议名称: 首届亚太合成孔径雷达会议(1st Asian and Pacific Conference on Synthetic Aperture Radar Proceedings)

会议地点: 安徽黄山

会议语种:英文

在线出版日期: 2007-11-05（万方平台首次上网日期，不代表论文的发表时间）