高分辨率SAR影像斑点噪声滤除方法的研究

SAR影像中一般都存在着斑点噪声,它严重干扰了地物信息的提取与SAR影像的应用,影响了地物的判读,因此,抑制SAR影像斑点噪声对SAR影像的应用有着重要意义。本文首先分析了斑点噪声的产生机理及数学模型,然后介绍了滤除斑点噪声的方法,重点介绍了几种局域统计自适应滤波,总结了SAR斑点噪声滤除的两种数学模型作为构造SAR斑点噪声滤除方法的基础,然后针对几种典型的滤波算法进行了对比试验,最后提出了一套对这些滤波斑点噪声滤除效果的定量化评价指标,并运用到试验中,指导SAR影像斑点噪声的滤除以及滤波算法的构造。

The research of speckle reduction for SAR images

There commonly exists speckle noise in the SAR images. It badly disturbs the extraction and interpretation of the information of the objects, influences the application of the SAR images. So it has important meaning to reduce the speckle noise in the SAR images. In this paper, the mechanism and mathematical model of the speckle noise is firstly analyzed. Then the methods of filtering speckle noise is introduced, especially several local region adaptive filters. Two filter models are summarized to direct the construction of the new filter. Then for the typical filter, the contrast tests are carried out. At the last, it brings out a quantitative evaluation index to direct the filtering the speckle noise and the construction of the new filter.