A Novel Speckle Filter for SAR Images Based on Information-theoretic Heterogeneity Measurements  

作　　者：Chen Jie Zhu Jing Li Chunsheng Zhou Yinqing 

机构地区：[1]School of Electronics and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

出　　处：《Chinese Journal of Aeronautics》2009年第5期528-534,共7页中国航空学报（英文版）

基　　金：Foundation items： National Natural Science Foundation of China （60602045）; New Century Excellent Talents in University Foundation of MOE of China （NCET-06-0166）.Acknowledgment The authors wish to thank Prof. B. Aiazzi for his precious help. They are also grateful to the reviewers for their valuable advice.

摘　　要：Most adaptive speckle filters are based on the local coefficient of variation, which serves to measure the heterogeneity of synthetic aperture radar （SAR） images. However, the sensitivity of the measurements to speckle and noise of SAR images would greatly deteriorate the speckle reduction. This article, based upon the information theory, presents a novel parameter for the heterogeneity measurement as a general index to quantitate the SAR image heterogeneity. Further, as a new speckle reduction algorithm based on the aforesaid quantitative heterogeneity measurements, it puts forward a heterogeneity-based speckle reduction filter （HBSRF）, which uses the information-theoretic heterogeneity measurements as a criterion to classify the SAR images as belonging to homogeneous or heterogeneous regions. Then the finite iteration procedure and edge detection algorithms are adopted to strike the best balance between speckle reduction and edge preservation. The results from the computer simulation have demonstrated that the proposed effective method is superior to the conventional speckle filters based on the local coefficient of variation both in textural preservation and speckle reduction.Most adaptive speckle filters are based on the local coefficient of variation, which serves to measure the heterogeneity of synthetic aperture radar （SAR） images. However, the sensitivity of the measurements to speckle and noise of SAR images would greatly deteriorate the speckle reduction. This article, based upon the information theory, presents a novel parameter for the heterogeneity measurement as a general index to quantitate the SAR image heterogeneity. Further, as a new speckle reduction algorithm based on the aforesaid quantitative heterogeneity measurements, it puts forward a heterogeneity-based speckle reduction filter （HBSRF）, which uses the information-theoretic heterogeneity measurements as a criterion to classify the SAR images as belonging to homogeneous or heterogeneous regions. Then the finite iteration procedure and edge detection algorithms are adopted to strike the best balance between speckle reduction and edge preservation. The results from the computer simulation have demonstrated that the proposed effective method is superior to the conventional speckle filters based on the local coefficient of variation both in textural preservation and speckle reduction.

关 键 词：synthetic aperture radar image processing speckle reduction information theory heterogeneity measurement 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TN958[自动化与计算机技术—计算机科学与技术]