| 基于分形维数和FCM聚类的多时相SAR图像变化检测 |
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| 引用本文： | 李玲玲,;贾振红,;覃锡忠,;杨杰,;Nikola Kasabov.基于分形维数和FCM聚类的多时相SAR图像变化检测[J].四川激光,2014(7):15-18. |
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| 作者姓名： | 李玲玲 ;贾振红 ;覃锡忠 ;杨杰 ;Nikola Kasabov |
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| 作者单位： | [1]新疆大学信息科学与工程学院,乌鲁木齐830046; [2]上海交通大学图像处理与模式识别研究所,上海200240; [3]新西兰奥克兰理工大学知识工程与开发研究所,新西兰奥克兰1020 |
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| 基金项目： | 教育部促进与美大地区科研合作与高层次人才培养项目。 |
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| 摘 要： | 提出了一种基于分形维数和FCM聚类的SAR图像无监督变化检测的算法。首先用非下采样Contourlet变换(NSCT),对两时相图像进行分解,然后求出其分形维数图,构造差异图,再由FCM聚类得到变化区域和非变化区域。并对计算分形维的滑动窗口大小的选择进行了研究。与现有的基于分形维数的图像变化检测算法进行对比,实验证实,本文算法不仅对斑点噪声不敏感,并且提高了变化检测的精确度。
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| 关 键 词： | SAR图像 图像变化检测 非下采样Contourlet变换(NSCT) 分形维数 |
Multitemporal SAR image change detection based on Fractal dimension and FCM clustering |
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| Affiliation: | LI Ling-ling, JIA Zhen-hong, QIN Xi-zhong, YANG-Jie, Nikola Kasabov ( 1. College of Information Science and Engineering, Xinjiang University, Urmuqi 830046, China; 2 Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, China; 3 Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Auckland 1020, New Zealand) |
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| Abstract: | This paper has proposed a unsupervised SAR image change detection algorithms based on fractal di-mension and FCM clustering.First, the two-phase images are decomposed by nonsubsampled Contourlet transform （NSCT） and then compute its fractal dimension map and get difference map. At last, the change map is obtained by the FCM clustering. And the size of sliding window of calculating the fractal dimension is studied. Experiments con-firme that, compared with the traditional image change detection algorithm based on fractal dimension （GFCD）, the proposed algorithm is not only sensitive to the speckle noise but also improves the change detection accuracy. |
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| Keywords: | SAR image Image change detection Nonsubsampled Contourlet Transform （NSCT） Fractal dimension |
| 本文献已被 CNKI 维普 等数据库收录！ |
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