散射中心是高频区雷达目标电磁散射的基本特征,对SAR图像解译、目标识别等具有重要意义。与经典的理想点散射中心模型相比,属性散射中心模型通过引入散射响应对频率、方位角的依赖因子,可更精确地建模高分辨SAR图像目标的散射特性,但与此同时,由于特征参数的维数更高,因此相应的特征提取方法也更复杂。提出了一种基于CLEAN思想的图像城区域解耦合的近似最大似然估计(RD-AML-CLEAN)高分辨SAR图像目标属性散射中心特征提取方法,并通过仿真SAR图像数据的实验结果对算法性能进行了定性、定量的分析与评估。%Scattering center is the essential electromagnetic scattering characteristic of the radar targets in high frequency region, which is of great importance for SAR imagery interpretation and target recognition. Compared with classical ideal point scattering center model, attributed scattering center model is more accurate in modeling the scattering characteristic of the high resolution SAR imagery targets. However, because of its high dimensionality, the method of attributed scatteVing center extraction is more complicated. This paper presents the region decoupled-approximate maximum likelihood-CLEAN(RD-AML-CLEAN) method for extracting scattering center in high resolution SAR imagery. The performance of the method is analyzed and evaluated qualitatively and quantitatively by simulating SAR imagery.
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