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博士生马晓双的论文在IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING刊出
发布时间:2015-05-08 11:46:28     发布者:yz     浏览次数:

标题:Adaptive Anisotropic Diffusion Method for Polarimetric SAR Speckle Filtering作者:Ma, Xiaoshuang; Shen, Huanfeng; Zhang, Liangpei; Yang, Jie; Zhang,Hongyan

来源出版物:IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 卷:8 期:3 页:1041-1050 DOI:10.1109/JSTARS.2014.2328332 出版年:MAR 2015

摘要:In this paper, we present an adaptive anisotropic diffusion (AD) method for the speckle filtering of polarimetric synthetic aperture radar (PolSAR) images. One of the main innovations of our work is that we employ a likelihood-ratio test method to measure the equality of two polarimetric covariance matrices to control the diffusivity, and thus consider the full polarimetric information and the statistical traits of PolSAR data in the diffusion process. Meanwhile, to overcome the drawback of the conventional AD methods, we integrate the local homogeneity information into the diffusion model to adaptively control the generosity of the filtering. Experiments were conducted on a simulated image and two airborne PolSAR images to illustrate the filtering performance, and the results show that the proposed method effectively reduces speckle, retains edges, and targets, and preserves the polarimetric scattering mechanisms.

入藏号:WOS:000352279200009

文献类型:Article

语种:English

作者关键词:Anisotropic diffusion (AD), polarimetric synthetic aperture radar (PolSAR), speckle filtering

扩展关键词:EDGE-DETECTION; SCATTERING-MODEL; IMAGERY; CLASSIFICATION; STATISTICS; REDUCTION

通讯作者地址:Ma, Xiaoshuang; Wuhan Univ, Dept *Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址:mxs.88@whu.edu.cn; shenhf@whu.edu.cn; zlp62@lmars.whu.edu.cn; yangjie@lmars.whu.edu.cn; zhanghongyan@whu.edu.cn

地址:

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

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

研究方向:Engineering; Physical Geography; Remote Sensing; Imaging Science & Photographic Technology

ISSN:1939-1404

eISSN: 2151-1535

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