SAR图像去斑方法

合成孔径雷达图像固有的相干斑噪声严重降低了图像的可解译程度，影响了后续目标检测、分类和识别等应用。因此，SAR图像的相干斑抑制问题一直是SAR图像应用的重要课题之一。一个理想的去斑算法应该在平滑的同时保持图像的边缘等细节不受损失，目前存在各种各样的算法，但没有一种方法能够完美的满足这一要求。本文对SAR图像的相干斑抑制问题进行了全面系统的研究，分析了相干斑的形成原因，总结了目前存在的相干斑抑制算法的主要思路，介绍了具有代表性的算法，并对各种算法的性能进行了定性分析和比较，给出了去斑算法定量评估方法，展望了SAR图像相干斑抑制的发展方向。

A Review of SAR Speckle Filtering

Speckle, appearing in synthetic aperture radar (SAR) images as granular noise, is generated by the coherent processing of radar signals. It severely affects the image qualities. To alleviate deleterious effects of speckle, various ways have been devised to suppression it. An ideal algorithm should smooth the speckle without blurring edges and fine detail. But most algorithms cannot satisfy these two demands very good.This paper investigates the problem of speckle suppression comprehensively and thoroughly. It first analyzes the principle of speckle forming, then describes the general approaches of speckle reduction filtering, discusses several well known speckle reduction filters, compares the algorithms qualitatively. To compare speckle smoothing algorithm quantitatively, a set of performance criteria is established. In the end, conclusions are made and the possible future work is explained.