基于压缩感知的sar图像cfar目标检测算法

提出了一种基于压缩感知（compressedsensing,cs）和恒虚警率（constantfalsealarmrate,cfar）目标检测算法,用于合成孔径雷达（syntheticapertureradar,sar）图像的目标检测。针对传统的均值类和有序统计量类cfar目标检测算法,首先对每个局部滑窗的背景杂波像素利用压缩感知进行重建,以此来降低sar图像相干斑现象的影响,然后利用重建后的数据进行杂波分布参数的估计,并利用cfar检测器进行目标检测。在真实的sar图像中证明了上述目标检测算法的有效性

compressive sensing based cfar target detection algorithm for sar image

in this paper,we propose a compressive sensing based cfar target detectiong algorithm for remote sensing sar image.considrd of the traditional mena value and statistic cfar detection algorithm,firstly,the background clutter pixels of every local sliding window is rebuild by using cs,so that the speckle of the sar image is decreased,then,the distribution parameters of the clutter are estimate from the rebuild image.at last,a cfar detector os used to botain the detection result.the experiments on real images show that the proposed algorithm is effective.