测绘学报 ›› 2014, Vol. 43 ›› Issue (1): 60-65.

• 学术论文 • 上一篇    下一篇

基于形状先验和图割的高分辨率遥感影像道路提取

周绍光,陈超,岳建平   

  1. 河海大学地球科学与工程学院
  • 收稿日期:2012-04-20 修回日期:2012-10-09 出版日期:2014-01-20 发布日期:2014-01-20
  • 通讯作者: 周绍光 E-mail:zhousg1966@126.com
  • 基金资助:

    国家自然科学基金项目

Extracting Roads from High-resolution RS Images Based on Shape Priors and Graph Cuts

  • Received:2012-04-20 Revised:2012-10-09 Online:2014-01-20 Published:2014-01-20

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。

关键词: 道路提取, 高斯混合模型, 形状先验, 图割

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.

Key words: Road Extraction, Gaussian Mixture Model, Shape Prior, Graph Cuts

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