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遥感技术与应用  2016, Vol. 31 Issue (3): 481-487    DOI: 10.11873/j.issn.1004-0323.2016.3.0481
数据与图像处理     
基于超像素分割和多方法融合的SAR 图像变化检测方法
张明哲1,2,张红,王超,刘萌,谢镭1,2
(1.中国科学院遥感与数字地球研究所数字地球实验室,北京 100094;
2.中国科学院大学,北京 100049)
Combining Super\|pixel Segmentation and Multiple Difference Maps for SAR Change Detection
Zhang Mingzhe1,2,Zhang Hong1,Wang Chao1,Liu Meng1,Xie Lei1,2
(1 Key Laboratory of Digital Earth Science,Institute of Remote Sensing and Digital Earth,
Chinese Academy of Sciences,Beijing 100094,China;
2.University of Chinese Academy of Sciences,Beijing 100049,China)
 全文: PDF(6421 KB)  
摘要:

针对基于像素的合成孔径雷达(SyntheticApertureRadar,SAR)图像变化检测会造成虚警较高、结果破碎的问题,提出一种基于超像素分割和多方法融合的SAR图像变化检测方法.首先引入基于简单线性迭代聚类(SimpleLinearIterativeClustering,SLIC)的超像素分割方法,通过对主辅图像进行联合分割,得到符合实际地物边界的超像素分割结果;同时,利用3种基于像素的变化检测方法获取初始变化检测结果;接着,利用超像素分割结果和初始变化检测结果进行两个层次的众数投票,去除检测结果中由于噪声引起的虚警和连通域中的孔洞.选取两个时相的苏州Radarsat2单极化SAR图像开展变化检测实验,实验结果表明该算法在保持较高检测率和有效边界的基础上,能够显著降低虚警.

关键词: SAR图像超像素分割多方法融合变化检测    
Abstract:

The traditional pixel\|based change detection methods give high false alarm rate and broken areas.In order to solve this problem,we present a novel change detection method that combines a segmentation approach and three pixel\|based Difference Maps (DM).In this paper,the Simple Linear Iterative Clustering (SLIC) super\|pixel segmentation is introduced into SAR images segmentation,which can preserve edges between different land cover types and perform on two SAR images simultaneously.Meanwhile,three pixel\|based DMs are utilized to gain the initial change masks.Then,the majority voting is utilized for the fusion of segmentation result and initial change masks.Two Radarsat\|2 images of Suzhou,china,acquired on April 9,2009 and June 15,2010,are used for our experiment.The experimental results demonstrate that our method can reduce the false alarm rate effectively,as well as preserve a good change rate.Besides,the edge of changed objects are well preserved.

Key words: SAR images;Super\    pixel segmentation;Fusion;Change detection
收稿日期: 2015-04-03 出版日期: 2016-07-19
:  TP75  
基金资助:

国际自然科学基金项目(41371352、41331176、41401514).

通讯作者: 张 红(1972-),女,安徽南陵人,研究员,主要从事微波遥感研究.Email:zhanghong@radi.ac.cn.   
作者简介: 张明哲(1991-),男,江苏盐城人,硕士研究生,主要从事SAR图像处理研究.Email:zhangmz@radi.ac.cn.
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引用本文:

张明哲,张红,王超,刘萌,谢镭. 基于超像素分割和多方法融合的SAR 图像变化检测方法[J]. 遥感技术与应用, 2016, 31(3): 481-487.

Zhang Mingzhe,Zhang Hong,Wang Chao,Liu Meng,Xie Lei. Combining Super\|pixel Segmentation and Multiple Difference Maps for SAR Change Detection. Remote Sensing Technology and Application, 2016, 31(3): 481-487.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2016.3.0481        http://www.rsta.ac.cn/CN/Y2016/V31/I3/481

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