基于变分法与Markov随机场模糊局部信息聚类法的SAR影像变化检测  被引量:5

SAR Image Change Detection Based on Variational Method and Markov Random Field Fuzzy Local Information C-Means Clustering Method

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作  者:王昶[1,2] 张永生 王旭[2,3] WANG Chang;ZHANG Yongsheng;WANG Xu(School of Civil Engineering,University of Science and Technology Liaoning,Anshan 114051,China;Institute of Geospatial Information,Information Engineering University,Zhengzhou 450001,China;Surveying and Mapping Engineering Institute,Liaoning Vocational College of Ecological Engineering,Shenyang 110101,China)

机构地区:[1]辽宁科技大学土木工程学院,辽宁鞍山114051 [2]信息工程大学地理空间信息学院,河南郑州450001 [3]辽宁生态工程职业学院林学院,辽宁沈阳110101

出  处:《武汉大学学报(信息科学版)》2021年第6期844-851,共8页Geomatics and Information Science of Wuhan University

基  金:国家自然科学基金(41671409)。

摘  要:为了提高合成孔径雷达(synthetic aperture radar,SAR)影像变化检测的精度,提出一种基于变分法与马尔可夫随机场模糊局部信息聚类(Markov random field fuzzy local information C-means clustering,MRFFLICM)的SAR影像变化检测方法。首先融合对数比影像和对数均值比影像来构建差异影像;然后采用变分去噪模型去除差异影像的噪声;最后利用马尔可夫随机场将空间邻域信息引入到模糊局部信息C均值聚类算法中,提高聚类的性能。对两组不同时相真实SAR影像数据进行对比实验,结果表明,提出的变分去噪方法能够避免去除微小变化区域,有效抑制SAR影像的斑点噪声,同时MRFFLICM方法可以有效提高变化检测的精度,提升了变化检测方法的适应性。Objectives:In order to improve the accuracy of SAR(synthetic aperture radar) image change detection,this paper proposes a method of SAR image change detection based on variational method and Markov random field fuzzy local information C-means clustering(MRFFLICM) method.Methods:Firstly,we fuse the logarithmic ratio images and logarithmic mean ratio images to construct the difference image.Secondly,variational denoising model is established to remove the noise from difference images.Finally,the spatial neighborhood information is introduced into fuzzy local information C-means clustering method by using Markov random field to improve the clustering performance.Results:Experiments on two real SAR datasets show that the proposed variational denoising method can avoid removing the small change region and effectively suppress speckle noise of SAR image.Conclusions:The MRFFLICM method can effectively improve the precision of change detection,thus enhancing the adaptability of change detection method.

关 键 词:变分法 马尔可夫随机场 模糊局部聚类方法 SAR影像 变化检测 

分 类 号:P237[天文地球—摄影测量与遥感]

 

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