In this paper, we investigate the urban building extraction from airborne LIDAR points cloud data.
本文以航空LIDAR点云数据为基础，研究了城市地区建筑物的提取。
Measurement of 3d object to obtain its scattered points cloud data is the foundation of surface reconstruction.
散乱点云数据的测量是三维物体曲面重建的前提和基础。
Preprocessing of "points cloud" data and surface reconstruction are the critical technology of reverse engineering and are the premises of building product CAD model.
“点云”数据的预处理和曲面重建技术是反求工程的关键技术，是产品CAD模型建立的前提。
In a word, this paper based on the airborne LIDAR points cloud data achieves the extraction of urban building by using digital image processing technique without any assistance data.
总之，本文以航空LIDAR点云数据为基础，在无其他辅助数据的情况下，采用数字图像处理技术，实现了基于航空LIDAR点云数据提取城市地区建筑物的目标。
Finishing surface reconstruction and building solid modeling by UG modeling software after the "points cloud" data are processed, and exporting in STL file format to import rapid prototyping.
利用UG造型软件对优化处理的数据进行曲面重建，进而建立实体模型，并以STL文件格式输出，为快速原型制造提供了输入数据。
The main content includes the design of original data collecting system, Image preprocessing, selection and algorithm of filtering method, points cloud creating, reconstruction of 3d CAD model.
主要研究内容包括：数据采集系统设计、图像预处理、滤波方法的选择及其算法、点云生成、三维CAD模型重构。
The main content includes the design of original data collecting system, Image preprocessing, selection and algorithm of filtering method, points cloud creating, reconstruction of 3d CAD model.
主要研究内容包括：数据采集系统设计、图像预处理、滤波方法的选择及其算法、点云生成、三维CAD模型重构。
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