太阳成8722(中国)有限公司-GREEN NO.1

标题：SAR Image Despeckling by the Use of Variational Methods With Adaptive Nonlocal Functionals作者：Ma, Xiaoshuang; Shen, Huanfeng; Zhao, Xile; Zhang, Liangpei

来源出版物：IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 卷：54 期：6 页码：3421-3435 DOI: 10.1109/TGRS.2016.2517627 出版年：JUN 2016

摘要：In this paper, we focus on the despeckling of synthetic aperture radar (SAR) images by variational methods which introduce nonlocal regularization functionals. To achieve this goal, two models are investigated from different aspects. The first model is derived for the logarithmically transformed (homomorphic) domain of the SAR data, and the other is derived for the original (nonhomomorphic) domain. The statistical properties of the speckle and the log-transformed speckle are analyzed, and the similarity measurements between pixels in the homomorphic domain and nonhomomorphic domain are then derived for constructing the corresponding nonlocal regularization functionals. Meanwhile, in the proposed models, we develop a strategy to adaptively choose the regularization parameters based on both the local heterogeneity information and the noise level of the images, aiming at getting a better balance between the goodness of fit of the original data and the amount of smoothing. A quasi-Newton iteration method is employed to quickly minimize the proposed adaptive nonlocal functionals. Experiments conducted on both simulated images and real SAR images confirm the good performances of the proposed methods, both in reducing speckle and preserving image quality.

入藏号：WOS:000377477100026

文献类型：Article

语种：English

作者关键词：Homomorphic filter, nonlocal functional, speckle, variational method

扩展关键词：SIGNAL-DEPENDENT NOISE; MULTIPLICATIVE NOISE; LOCAL-STATISTICS; SPECKLE; MODEL; REMOVAL; CLASSIFICATION; SIMILARITY; ALGORITHM; FILTER

通讯作者地址：Shen, HF, Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan 430079, Peoples R China.

Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China.

电子邮件地址：mxs.88@whu.edu.cn; shenhf@whu.edu.cn; xlzhao122003@163.com; zlp62@whu.edu.cn

地址：

[Ma, Xiaoshuang] Wuhan Univ, Dept Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Shen, Huanfeng] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Shen, Huanfeng] Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan 430079, Peoples R China.

[Shen, Huanfeng] Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China.

[Zhao, Xile] Univ Elect Sci & Technol China, Chengdu 610051, Peoples R China.

[Zhang, Liangpei] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.

研究方向：Geochemistry & Geophysics; Engineering; Remote Sensing; Imaging Science & Photographic Technology

ISSN：0196-2892

eISSN: 1558-0644

影响因子：3.36