| 基于形状先验和图割的高分辨率遥感影像道路提取 |
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| 引用本文： | 周绍光,陈超,岳建平.基于形状先验和图割的高分辨率遥感影像道路提取[J].测绘学报,2014,43(1):60-65. |
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| 作者姓名： | 周绍光 陈超 岳建平 |
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| 作者单位： | 河海大学地球科学与工程学院 |
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| 摘 要： | 给出一种从高分辨率遥感影像中提取道路的方法。先对遥感影像进行滤波预处理获取纹理特征；再以图割解算经典能量函数获取道路图斑，其中利用高斯混合模型构建T链；接着利用直线匹配法获得初始道路段；最后用图割解算融合了两种形状先验的能量函数，结合动态外推的思路连接道路段。对不同遥感影像的实验证明了算法的有效性。
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| 关 键 词： | 道路提取 高斯混合模型 形状先验 图割 |
| 收稿时间： | 2012-04-20 |
| 修稿时间： | 2012-10-09 |
Extracting Roads from High-resolution RS Images Based on Shape Priors and Graph Cuts |
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| Abstract: | A new road extraction scheme is proposed. First of all, preprocess a RS image with a filter to obtain texture features; then calculate the classic energy function with Graph Cuts to obtain road points, and t-link is constructed with Gaussian Mixture Model; the initial road stripes are achieved with the Line Segment Match Method; lastly, calculate the energy function merged with two shape priors with Graph Cuts to connect roads, which combines the strategy of dynamic segmentation. Experiments of different images testify our algorithm’s effectiveness. |
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| Keywords: | Road Extraction Gaussian Mixture Model Shape Prior Graph Cuts |
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