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中文摘要：
传统的SAR图像去噪方法仅考虑乘性噪声，而忽略其中的加性成分。根据图像统计特性提出加性和乘性复合模型，对图像施加非下采样Contourlet变换分解策略，然后在变换域引入融合策略以完成最终的去噪。仿真分析表明：采用该新算法后的视觉效果和客观衡量指标都比较理想。
英文摘要：
Traditional Synthetic Aperture Radar （SAR） image denoising methods usually consider noise as multiplicative and ignore additive parts. A compound model of additive noise and multiplicative noise was proposed. First, original image was decomposed by nonsubsampled Contourlet transform. And then, a fusion strategy was introduced to fulfill final denoising. Simulation analysis shows that this new method has satisfactory visual fidelity and objective indexes.
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