黄先锋, GunhoSohn, 王潇, 张帆. 基于带权点法向量的LiDAR数据屋顶检测方法[J]. 武汉大学学报 ( 信息科学版), 2009, 34(1): 24-27.
引用本文: 黄先锋, GunhoSohn, 王潇, 张帆. 基于带权点法向量的LiDAR数据屋顶检测方法[J]. 武汉大学学报 ( 信息科学版), 2009, 34(1): 24-27.
HUANG Xianfeng, Gunho Sohn, WANG Xiao, ZHANG Fan. Roof Detection Using LiDAR Data Based on Points' Normal with Weight[J]. Geomatics and Information Science of Wuhan University, 2009, 34(1): 24-27.
Citation: HUANG Xianfeng, Gunho Sohn, WANG Xiao, ZHANG Fan. Roof Detection Using LiDAR Data Based on Points' Normal with Weight[J]. Geomatics and Information Science of Wuhan University, 2009, 34(1): 24-27.

基于带权点法向量的LiDAR数据屋顶检测方法

Roof Detection Using LiDAR Data Based on Points' Normal with Weight

  • 摘要: 提出了一种基于带权点法向量的LiDAR数据屋顶检测方法。通过利用点和其邻接点构成的面法向量进行峰值统计,检测屋顶面。检测过程中同时考虑每个点法向量的权值,从而确定每个点对面的贡献,一定程度上消除了噪声的影响,提高了小面积屋顶检测的准确程度。同时,采用多阈值进行屋顶面检测,能够检测大小不同的面。通过实验验证了本算法的有效性。

     

    Abstract: A roof detection method using LiDAR data is proposed based on points' normal with weight.The normal of the plane,which is composed of point and its neighbor points,is counted to find out the high frequency,and the roofs are detected.Each point's weight is considered to determine the contribution to the plane which diminishes the affection of noises to some extent,and increases the accuracy of the small roof detection.In addition,multiple thresholds are adopted to detect roof planes with different sizes.Experiments are given to prove the algorithm proposed.

     

/

返回文章
返回