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基于动态规划的城市道路提取改进算法

  

  • 出版日期:2010-08-31 发布日期:2015-08-11

The Improved Extraction of Urban Roads Based on Dynamic Programming

  • Online:2010-08-31 Published:2015-08-11

PDF (PC)

473

被引次数

25

摘要： ：从航空或卫星影像中提取道路一直是研究的热点，基于动态规划的道路提取算法是最有效的算法之一。该文基于LiDAR点云数据特征改进了该算法的代价函数，进而提高了基于动态规划的道路提取算法的鲁棒性。为正确地融合航拍图像和LiDAR点云数据，研究了航拍图像和LiDAR点云数据的匹配算法。最后，通过试验验证了算法的正确性。

关键词: 计算机应用, 动态规划, LiDAR, 点云, 道路提取, 航拍图像

Abstract: The road extraction from aerial images is always a hotspot in research. The algorithm of road extraction based on dynamic programming is one of the most efficient algorithms, which is improved in this paper based on LiDAR point-cloud, and the robustness is also increased. In order to combine the aerial image and the LiDAR point-cloud data, the algorithm of matching the aerial image with the LiDAR point-cloud data is researched. Experiments are carried out to validate the algorithm mentioned above.

Key words: computer application, dynamic programming, LiDAR, point-cloud, road extraction, aerial images