| SAR图像中道路的检测 |
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| 引用本文： | 郦苏丹,王正志,张翠. SAR图像中道路的检测[J]. 国防科技大学学报, 2001, 23(1): 59-65 |
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| 作者姓名： | 郦苏丹 王正志 张翠 |
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| 作者单位： | 国防科技大学机电工程与自动化学院, 湖南 长沙 410073 |
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| 摘 要： | 提出一种两步算法用于从合成孔径雷达 (SAR)图像中无监督地提取线性特征 ,特别是提取公路网。第一步利用局部线特征检测算子提取线基元 ,为此提出一种改进的均值比率 (RoA)算子 ,应用SAR图像的内在统计特性 ,保证较高的准确率 ;第二步引入公路结构特征的先验信息 ,对提取的线基元进行组织 ,获得比较宏观的线性结构。文中的方法通过ERS -1图像加以验证。
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| 关 键 词： | SAR 线特征检测 线特征组织 |
| 文章编号： | 1001-2486 (2001) 01-0059-07 |
| 收稿时间： | 2000-10-09 |
| 修稿时间： | 2000-10-09 |
Road Network Detection in SAR Images |
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| LI Sudan,WANG Zhengzhi and ZHANG Cui. Road Network Detection in SAR Images[J]. Journal of National University of Defense Technology, 2001, 23(1): 59-65 |
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| Authors: | LI Sudan WANG Zhengzhi ZHANG Cui |
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| Affiliation: | College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China;College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China;College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China |
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| Abstract: | Two-step algorithm is proposed for unsupervised detection of linear structure from SAR image, in particular, the road network detection. The first step is to detect line element with local detector, in this paper an improved ratio of average (RoA) detector which takes into account the inner statistic property of SAR image is proposed. It can guarantee the detection accuracy. In the second step, we introduce the prior knowledge about the road structure to group the line element into macroscopical structure. The method proposed is identified in ERS-1 image. |
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| Keywords: | SAR line detect line orgnizaton |
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