摘要： 为提高图像可读性、改善图像质量，提出基于信噪比最大化的极化SAR图像的融合去噪算法。根据图像滤波时信噪比最大的要求，采用均方误差最小作为收敛条件，分别对极化SAR图像的2个极化方向进行滤波融合，并与传统Lee滤波算法和自适应阈值算法进行比较，结果证明该算法性能更高。

关键词: 极化合成孔径雷达, 融合, 信噪比, 轮廓变换

Abstract: To improve the readability of the image and ameliorate image quality, this paper proposes a fused denoising algorithm of the polarized SAR image based on maximize Signal To Noise Ratio(SNR). According to meet the requirement of getting the largest SNR at the image filtering, this method uses the smallest mean square error as the convergent condition. It filters and fuses in two directions of the polarized SAR images respectively. Compared with the traditional Lee filtered algorithm and adaptive threshold algorithm, the algorithm has higher performance.

Key words: polarimetric Synthetic Aperture Radar(SAR), fusion, Signal to Noise Ratio(SNR), contourlet transformation

中图分类号: 

• TN911.73