基于方差系数统计的合成孔径雷达相干斑强度估计

相干斑是合成孔径雷达(SAR)图像的固有属性。相干斑的强度是SAR图像解译的基础参量。由于多视处理假设模型等问题,相干斑的强度需要精确的估计。本文根据相干斑强度估计的基本原理,从统计学角度提出了一种基于方差系数统计分布的估计方法,该方法相比于传统方法可实现无监督自动估计相干斑的强度。本文所提出算法复杂度低,运算量小,具有很强的工程应用价值。

Variation Coefficients Statistics Based Speckle Intensity Estimation for Synthetic Aperture Radar （SAR）

Speckle is an inherent attribute of synthetic aperture radar （SAR） image, and speckle intensity is a basic parameter for SAR image interpretation. Since the drawback of multi-look hypothesis model etc. , the speckle intensity is needed to be estimation accurately. According to the basic principle of speckle intensity estimation, a novel speckle intensity estimation method based on variation coefficients statistics is proposed. Comparing with traditional methods, the proposed method can achieve unsupervised and automatic speckle intensity estimation; it features low complexity and computation load, and possess high engineering application value.