摘要
提出了一种基于改进path opening的高分辨率遥感影像道路提取新方法。为检测曲率较大的道路,构造了新的邻接图;为有效提取有损或有部分遮挡的道路,将path opening算法中的最大路径长度与区域的几何特征相结合,建立了道路区域的判定准则,减少了人工干预。通过多组实验结果证明,该方法对于不完整道路的提取有更好的效果。
A novel method for extracting roads from very high resolution remote sensing images based on modified path opening algorithm was proposed in this paper. We constructed new adjacency graph to detect roads with larger curva- ture at first. Then, we combined the length of the longest path in path opening algorithm with the geometrical feature of the extracted area in order to effectively detect partly damaged or occluded roads. Finally, decision rule was established, which can automatically set the parameter values for road extraction. Experimental results show that the proposed method can greatly improve the extraction result for incomplete roads.
出处
《计算机科学》
CSCD
北大核心
2014年第2期285-289,共5页
Computer Science
基金
国家自然科学基金项目:基于曲线演化理论的遥感影像变化检测研究(61003108)资助
