A New Polarimetric SAR Image CFAR Target Detecting Method
一种新的极化SAR图像目标CFAR检测方法

A new polarimetric SAR image CFAR target detection method is proposed in this paper. Firstly, the statistical distribution of PMF (Polarimetric Matched Filter) metric is deduced (signified as P-G0 distribution) based on product model combining the inverse Gamma distribution which is effective in modeling of clutter with diverse homogeneity. Farther, the parameter estimator of such distribution is educed using logarithm cumulants grounded on Mellin transform, which assures the exact modeling of PMF metric. Finally, the formula of CFAR detection threshold is deduced and a new CFAR detection method is designed. The experimental results using RADARSAT-2 polarimetric SAR data demonstrate P-G0 distribution is efficiency in data fitting of terrains and the proposed detection method can implement the accurate and automatic target detection in clutter with diverse homogeneity.