车载联合机载点云数据的建筑物立面建模  

Building facade modeling combining vehicle-borne LiDAR data with airborne point cloud data

作　　者：杨清科 李永强[1] 李立雪 孙渡 李鹏鹏 范辉龙 YANG Qingke;LI Yongqiang;LI Lixue;SUN Du;LI Pengpeng;FAN Huilong(School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo,Henan 454000, China;Shanghai Huace Navigation Technology Co.,Ltd.,Shanghai 201702,China)

机构地区：[1]河南理工大学测绘与国土信息工程学院,河南焦作454000 [2]上海华测导航技术股份有限公司,上海201702

出　　处：《测绘科学》2019年第2期94-101,共8页Science of Surveying and Mapping

基　　金：测绘地理信息公益性行业科研专项(201412020)

摘　　要：针对建筑物立面几何模型构建的难题,该文提出了一套完整的建筑物立面提取方法。在车载-机载LiDAR点云数据精确配准的基础上,首先提取出机载建筑物的外轮廓线,通过设置轮廓线缓冲区实现立面点云分割,然后采用随机抽样一致性(RANSAC)平面探测算法探测建筑物主立面,最后结合立面语义规则及面片之间的拓扑关系构建建筑物立面的三维线框模型。实验结果表明,新方法能准确、有效地构建建筑物立面模型。Aiming at the problem of building elevation geometric model,a complete set of building elevation extraction method was proposed in this paper.First,on the basis of the accurate registration of airborne and vehicle-borne LiDAR data,overall outline of airborne building was extracted.Through setting outline buffer area,facade point cloud segmentation was realized.Then the random sample consensus(RANSAC)plane detection algorithm was used to detect main facade of the building.Finally,the three-dimensional wire-frame model of the facade of the building could be established according to the facade semantic rules and the topological relationship between patches.The result of this experiment showed that the new method could accurately and effectively establish the facade model of the building.

关 键 词：机载LIDAR 车载LiDAR 建筑物立面 RANSAC 几何建模 

分 类 号：P237.3[天文地球—摄影测量与遥感] P208[天文地球—测绘科学与技术]