SAR图像去噪算法研究

Synthetic aperture radar is a major breakthrough as a remote sensing technology , duing to the all-weather imaging capability , this technology gets a great deal of attention at the beginning of proposed , now it has become the main means of earth observation. The technology greatly enhances the efficiency of the observation, however, it is still an urgent problem that how to reduce noise accurately and efficiently. This paper analyzes the speckle noise model of SAR image, and then introduces the principle and characteristics of the common various filtering methods for reducing noise. Finally, through experiments and analysis, this paper compares the effect of de-noising among various filtering methods and comes to the conclusion that Lee-Sigma and Gamma-Map filter methods are better than other common filtering methods in suppressing speckle noise and maintaining the edge, texture and other details of the information.