融合相干/非相干信息的高分辨率SAR图像变化检测

杨祥立; 徐德伟; 黄平平; 杨文

doi:10.12000/JR15073

融合相干/非相干信息的高分辨率SAR图像变化检测

DOI: 10.12000/JR15073

1.
(武汉大学电子信息学院武汉 430072)
2.
(内蒙古工业大学雷达技术研究所呼和浩特 010051)

基金项目:

国家自然科学基金(61271401, 61461040)，内蒙古自治区科技计划项目(20140155)和内蒙古高等学校青年科技英才支持计划项目(NJYT-14-B09)

详细信息

作者简介:
杨祥立(1991-),男,2014年获得中南民族大学工学学士学位,现于武汉大学电子信息学院信号处理实验室攻读硕士学位。主要研究方向为合成孔径雷达图像变化检测。E-mail:xiangliyang@whu.edu.cn徐德伟(1989-),男,2012年获得华南理工大学工学学士学位,现于武汉大学电子信息学院信号处理实验室攻读硕士学位。主要研究方向为合成孔径雷达图像变化检测。E-mail:xdwatz@whu.edu.cn黄平平(1978-),男,2010年获中国科学院电子学研究所博士学位,现任内蒙古工业大学雷达技术研究所所长,副教授。主要研究方向为合成孔径雷达信号处理和微波遥感应用。E-mail:cimhwangpp@163.com杨文(1976-),男,2004年获武汉大学工学博士学位;现任教于武汉大学电子信息学院,教授,博士生导师,主要从事信号处理,图像分析和遥感信息处理方面的研究工作。E-mail:yangwen@whu.edu.cn

通讯作者:
杨文yangwen@whu.edu.cn

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出版历程
- 收稿日期: 2015-06-10
- 修回日期: 2015-08-21
- 网络出版日期: 2015-10-28

Change Detection of High Resolution SAR Images by the Fusion of Coherent/Incoherent Information

1.
(School of Electronic Information, Wuhan University, Wuhan 430072, China)
2.
(Radar Research Institute, Inner Mongolia University of Technology, Hohhot 010051, China)

Funds:

The National Natural Sciences Foundation of China (61271401, 61461040), and the Program for Young Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region (NJYT-14-B09)

摘要

摘要: 该文运用Dempster-Shafer(D-S)证据理论融合高分辨率SAR影像的相干/非相干差异特征进行变化检测。首先使用简单线性迭代聚类(SLIC)分割算法完成多时相SAR影像联合多尺度分割。然后在各个分割尺度上提取适宜的强度差异特征及相干差异特征,通过Mean算子融合多尺度差异特征并得到多特征差异图。最后运用D-S证据理论完成多特征差异图融合得到变化检测结果。实验表明该方法可得到较为稳健的变化检测结果。
- 高分辨率SAR /
- 变化检测 /
- 证据理论 /
- 融合
Abstract: Aiming at detecting the change regions of high resolution Synthetic Aperture Radar (SAR) images, we propose to use the Dempster-Shafer (D-S) evidence theory to fuse coherent/incoherent features from sensors that form an integral part of the system. First, we use the Simple Linear Iterative Clustering (SLIC) segmentation algorithm to implement multi-scale joint segmentation for multi-temporal SAR images. Second, we extract multiple intensity and coherence difference features on each segment level by SLIC using mean operator to complete the fusion of multi-scale features to get the multi-feature difference mapped by a ratio operator. Finally, we fuse the multi-feature difference maps to get the final change detection result using the D-S evidence theory. The experimental results in our study prove the effectiveness of our proposed computational algorithm.
- High resolution SAR /
- Change detection /
- Evidence theory /
- Fusion

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参考文献(22)

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