针对Contourlet多尺度、多方向性的优点，以及单一特征量融合规则过于片面性的缺点，提出了一种结合Contourlet自适应阈值滤波的区域能量标准差积的多极化SAR图像融合算法。该方法利用Sigmoid函数构建一种自适应阈值函数来处理Contourlet的高频子带系数，实现融合前图像的去噪处理，然后在Contourlet域中完成不同极化SAR图像的信息融合。根据各子带系数的特性，对低频子带系数采用区域能量融合规则和加权算法；高频子带系数采用区域能量和标准差之积作为融合规则，进行选择性融合。通过对实测极化SAR图像融合的试验表明，该算法在目视效果和客观评价指标方面比其他算法，都具有一定的优越性。

With the advantage of Contourlet and the disadvantage of single feature fusion rules, a multi-polarization SAR image fusion algorithm, based on product of local energy and regional standard deviation, is proposed. First, an adaptive threshold method is adopted to preprocess the images. Then, multi-polarization SAR image fusion is implemented in Contourlet domain. According to the characters of Contourlet coefficients, local energy fusion rules and weighted averaging method is adopted for low-frequency sub-band fusion rules. The Product of regional energy and local standard deviation as a fusion rule is adopted for high-frequency sub-bands. The result of real multi-polarization SAR images fusion show that this algorithm can provide satisfactory fusion performance.