| 基于广义高斯模型的多时相SAR图像变化检测 |
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| 引用本文： | 袁增云,胡召玲. 基于广义高斯模型的多时相SAR图像变化检测[J]. 徐州师范大学学报(自然科学版), 2013, 0(1): 74-78 |
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| 作者姓名： | 袁增云 胡召玲 |
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| 作者单位： | 江苏师范大学城市与环境学院,江苏徐州221116 |
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| 基金项目： | 国家自然科学基金资助项目（41101428） |
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| 摘 要： | 基于广义高斯模型和Kittler-Illingworth(KI)准则获取SAR比值差异图像的最佳分割阈值,实现多时相SAR图像的非监督变化检测.以徐州市云龙湖畔同一地区2个时相的SAR图像为例进行了试验研究.试验结果表明:与其它的变化检测方法相比,所采用的变化检测算法能更有效地从多时相SAR图像中提取变化信息.
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| 关 键 词： | 广义高斯分布(GGD) 变化检测 Kittler-Illingworth(KI)算法 多时相SAR图像 |
Change detection of multitemporal SAR images based on the generalized Gaussian model |
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| Yuan Zengyun,Hu Zhaoling. Change detection of multitemporal SAR images based on the generalized Gaussian model[J]. Journal of Xuzhou Normal University(Natural Science Edition), 2013, 0(1): 74-78 |
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| Authors: | Yuan Zengyun Hu Zhaoling |
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| Affiliation: | (School of Urban ＆ Environmental Science,Jiangsu Normal University,Xuzhou 221116,Jiangsu,China) |
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| Abstract: | Based on the generalized Gaussian model and Kittler-Illingworth（KI） criterion, the experiment is used to obtain the best thresholds of SAR image ratio differences for realizing unsupervised change detection . The test has been conducted by using two temporal SAR images from Xuzhou City. The result shows that the change detection algorithm can be more effective than other methods for extracting change information in multitemporal SAR images. |
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| Keywords: | generalized gaussian distribution（GGD） change detection Kittler-Illingworth （KI） algorithm multi-temporal SAR image |
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