节点文献
基于边缘检测算法的LiDAR数据建筑物提取
Building Extraction from LiDAR Data Based on Edge Detection
【摘要】 LiDAR技术可以快速获取地形表面高精度3维信息。基于LiDAR数据提取建筑物目标是这一技术的重要应用之一。探讨了一种基于LiDAR点云数据生成不同比例尺的DSM深度影像,然后利用边缘检测算子提取建筑物边缘的方法。实验证明,该方法不需要其他辅助数据,可以从LiDAR点云数据中提取建筑物边缘,并滤除了许多干扰信息。这种方法为基于LiDAR数据提取建筑物目标提供了新的思路。
【Abstract】 LiDAR can capture 3D geographical information quickly.One of important applications is building extraction from LiDAR data.In this article,the LiDAR point cloud data was translated into different scale DSM depth-image.The edge detection algorithm was applied for edge extraction of buildings. The result of the experiment showed that this scheme could extract edge of buildings without accessorial data,and could clear much interferential information,which gave a new way to extract building with the LiDAR data.
【关键词】 LiDAR;
点云数据;
深度影像;
边缘提取;
图像分割;
【Key words】 LiDAR; point cloud data; depth-image; edge extraction; image segmentation;
【Key words】 LiDAR; point cloud data; depth-image; edge extraction; image segmentation;
【基金】 国家自然科学基金资助项目(40672173)
- 【文献出处】 测绘科学技术学报 ,Journal of Geomatics Science and Technology , 编辑部邮箱 ,2008年02期
- 【分类号】P237
- 【被引频次】64
- 【下载频次】1061