New method for building planar objects extraction from LiDAR data

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (10): 5-7.

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New method for building planar objects extraction from LiDAR data

LI Yunfan，MA Hongchao

School of Remote Sensing Information Engineering，Wuhan University，Wuhan 430079，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-04-01 Published:2011-04-01

从LiDAR数据中提取建筑物平面目标的新方法

李云帆，马洪超

武汉大学遥感信息工程学院，武汉 430079

Abstract

Abstract: A new method for extracting building planar objects from LiDAR data base on adaptive Mean Shift algorithm is proposed，which consists of three parts：building region detection from filtered LiDAR data using a triangle group algorithm constrained by triangle side length；planar object extraction from building foot prints based on cluster analysis in feature space by adaptive Mean Shift；planar object contour generation using Alpha-Shape algorithm.Experiment is conducted to demonstrate the efficiency of the proposed method.

Key words: LiDAR data, adaptive Mean Shift, cluster analysis, building, planar extraction

摘要： 提出一种从机载LiDAR点云数据中自动提取建筑物平面的方法。给出了基于边长约束的三角形生长算法对建筑物初始区域进行提取，针对提取出的建筑物脚点，利用自适应Mean Shift方法在特征空间中对其进行聚类分析，并提取出平面目标，最后利用Alpha-Shape算法生成建筑物平面的轮廓线。通过实验证实了方法的有效性。

关键词: LiDAR数据, 自适应Mean Shift, 聚类分析, 建筑物, 平面提取

LI Yunfan，MA Hongchao. New method for building planar objects extraction from LiDAR data[J]. Computer Engineering and Applications, 2011, 47(10): 5-7.

李云帆，马洪超. 从LiDAR数据中提取建筑物平面目标的新方法[J]. 计算机工程与应用, 2011, 47(10): 5-7.

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New method for building planar objects extraction from LiDAR data

从LiDAR数据中提取建筑物平面目标的新方法

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