SAR图像相干斑抑制算法研究+文献综述
关键词 合成孔径雷达；相干斑抑制；空域滤波；马尔可夫随机场
Title Speckle smoothing algorithm for SAR images
Abstract
Synthetic Aperture Radar (SAR) is a high- resolution imaging radar, It can work under
any weather at any time and has shown great potential and prospects in military
applications and allareas of the national economy. As the significant speckle noise in
SAR image which weakening the SAR system resolution capability of the target, and
greatly reducing the traditional edge detection, image segmentation etc, increasing the
difficulty of SAR image interpretation, if is necessary to suppress the speckle.
An ideal algorithm should smooth the speckle without blurring edges and fine
detai l. But most algorithms cannot satisfy these two demands very good.
In the preface to this article, first, the basic purpose and significance of speckle
smoothing algorithm for SAR images are introduced briefly. Secondly, we look back on
the history of the speckle reduction algorithm. And finally, the principal contribution of
this dissertation is summarized here. Then, described how the speckle formed, and
discusses the noise model thus the fundamental properties of speckle in SAR images.
Several well-known speckle filtering algorithms are discussed. The concept of each
filtering algorithm is discussed in detail and we evaluate their performance. Then
improve some of the filtering algorithms. To compare speckle smoothing algorithms
quantitatively, a set of performance criteria is established at last. And tests are
performed on real SAR images. Then comparisons are made for the effectiveness of
these algorithms in speckle reduction and edge, point target gontrast preservation.
In this paper, the algorithm is programmed by Visual C++. The filtering algorithm is
modular and can be easily used in practical applications.
Keywords SAR; speckle noise; spatial filter; Markov Random Field
目 次
目 次. I
图目录 III
1 绪论. 1
1.1 合成孔径雷达（SAR）简介 1
1.1.1 合成孔径雷达的技术特点：. 1
1.1.2 合成孔径雷达的应用：. 1
1.2 SAR图像相干斑抑制算法研究的背景与意义 . 2
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