摘要
以机载LiDAR激光点云数据与高分辨率航空影像为数据源,针对铁路沿线建(构)筑物空间分布特征,提出一种基于机载LiDAR数据法向量分析和曲率计算的建(构)筑物顶面点云区域增长分割算法。创建建(构)筑物顶面轮廓线提取、规则化和再调整的技术方法,实现铁路附属建(构)筑物的三维重建,并在建(构)筑物顶面点云面片分割的基础上,建立铁路附属建(构)筑物三维建模的技术流程。为铁路勘测设计、线路改造、资产清查、应急抢险指挥决策、数字三维铁路建设等提供可靠的技术支持和服务保障。
Taking airborne LiDAR laser point cloud data and high resolution aerial image as data source,aiming at the spatial distribution characteristics of the building（structure） of the railway,a region growing segmentation algorithm was proposed for the top surface of building based on vector analysis and curvature calculation.It was established the methods of the building contour line extraction,regularization and readjustment,and realized 3D modeling of building and structure affiliated railway.Based on point cloud built（structure） surface segmentation,the technical flow of 3D modeling of railway construction（structure） is established.It provides reliable technical and service support for survey and design,line transformation,asset inventory,emergency rescue and 3D digital railway construction.
出处
《河南理工大学学报（自然科学版）》
CAS
北大核心
2016年第5期650-654,共5页
Journal of Henan Polytechnic University（Natural Science）
基金
国家重点基础研究发展计划(2009CB226107)
河南省高校创新团队支持计划项目(14IRTSTHN026)
河南省创新型科技创新团队支持计划
关键词
机载LIDAR
铁路附属建(构)筑物
区域增长分割算法
顶面轮廓线
规则化
airborne LiDAR
building and structure affiliated railway
region growing segmentation algorithm
top surface contour line
regularization
