中文摘要：

提出一种基于非下采样Contourlet变换和方向Teager能量的极化SAR图像融合算法。采用具有多尺度、多方向和平移不变性特点的非下采样Contourlet变换对多个单极化强度图像进行分解，然后高频子带图像分别按行和列进行Teager能量计算，选取Teager能量作为度量来提取区域边缘与纹理信息。对于低频系数采用平均融合算法，根据高频子图Teager能量分布差异，对于方向高频系数采用不同最优加权算法实现极化图像的融合处理。实验结果表明，提出的算法与PWF算法相比在保留原始图像边缘和纹理信息的同时，可以有效地抑制相干斑噪声的影响，取得较好的融合视觉效果。

英文摘要：

This paper proposed a fusion method for polarimetric SAR image based on nonsubsampled Contourlet transform and directional Teager energy. It decomposed the several of single-polarimetric-channel SAR intensity images using nonsubsampled Contourlet transform, which had multi-scale, multi-direction and shift-invariant characteristics. Then used the high-frequency sub-band images to calculate Teager energy by rows and columns respectively. Presented the Teager energy to measure and ex- tract region edge and texture information： For the low-pass coefficients, used an averaging fusion rule. According to Teager en- ergy distribution differences in high frequency sub-band images, for the directional high-frequency coefficients were used to se- lect the better coefficients by different optimal weighted sum of intensities algorithm for fusion. Experimental results show that compared with PWF de-speckling algorithm, the proposed algorithm can get better visual effect and achieve an excellent bal- ance between suppresses speckle effectively and preserves image details, and the significant information of original image like textures and contour details is well maintained.