机载激光点云数据滤波是获取高精度数字表面模型和数字高程模型的关键。
Airborne lidar point cloud filtering is the key of acquiring DSM and DEM with high precision.
该方法首先将激光点云数据经坐标投影和抽稀后作为无单元模拟的节点坐标数据；
Data for gridding nodes are obtained from coordinate transformation and vacuation of the laser point clouds.
介绍了3维激光扫描仪研制过程中，把不同测站下的点云数据进行拼接的关键技术。
The key technique of jointing different measure station's data cloud is introduced in 3d laser scanner researching in the paper.
接着重点研究了激光测距的原理，激光扫描的现状、原理和设计和对点云的处理。
Then, we emphasize the principle of laser telemeter, the actuality, the principle, the design of laser scanning and the processing to cloud of points.
应用线结构光激光三维扫描仪对特定站姿的人体进行扫描，获得完整三维人体点云。
Using a light-stripe 3D laser scanning system to scan the desired pose of body, human's three-dimensional coordinates are obtained without loss.
鉴于激光测量机获取的扫描线点云数据类型特点，提出了T值法数据简化方法，并与其它几种数据简化方法进行了比较；
On the base of the type of the point cloud, the author puts forward"T"method on the scan line data reduction, compares them with other methods of the data reduction.
利用LS 5000型三维激光扫描仪扫描真实演员人脸，可以得到其三维人脸点云数据。
Using LS5000 3d laser scanner, we can acquire the point cloud data of the real actor's face.
对于建筑物立面的激光扫描数据来说，具有数据量大，点云复杂等特点，提取建筑物特征信息具有一定难度。
For the laser scanning data of a building fa? Ade, which is featured with huge amount of data and complex point cloud, it is difficult to extract building's feature information.
由于物理上的一些限制，一次三维激光扫描不能获取扫描物体的全部数据，因此要对扫描点云进行拼接。
Due to physical limits, a three-dimensional laser scanning can't acquire all the data object, so to scanning point clouds for stitching.
通过建筑物三维激光扫描数据的采集，对基于ICP算法的点云数据配准过程进行了详细地分析。
Through point cloud data acquired from the building, the course of registration based ICP algorithm is provided.
作为机载激光雷达数据处理的关键环节，激光雷达点云滤波一直是数据应用的重要前提和研究热点。
As a key of airborne laser data processing, the filtering of point cloud has been an important prerequisite and research focus of data applications.
本文在详细分析机载激光雷达工作原理及其点云数据特点的基础上，探讨研究点云数据的精度问题。
The paper studys the problem of point cloud data precision after detailed analyzing the principle of airborne LiDAR and the characteristics of point cloud data.
第二，研究激光在井下空气中的传播规律及扫描点云数据的误差影响因素。
Secondly, the laser propagation rule in the underground air and error influencing factors of scanning point clouds were studied systematically.
提出了针对机载激光雷达点云的建筑物三维模型提取方法。
A method of extracting 3d building model from airborne lidar point cloud was presented.
三维激光扫描获得的点云数据，其数据量比较大。
Spatial 3d point cloud can be quickly captured on object surface by laser scanning, however its data volume is huge.
图4激光雷达点云数据和传统光学影像数据比较。 （a）无人机激光雷达点云数据；
Fig. 4 Comparison of LiDAR point cloud data and traditional optical image. (a) UAV LiDAR data;
提出了针对机载激光雷达点云的建筑物三维模型提取方法。
Virtual Architecture is defined as the 3D model of building, which employ both CAD utensils and Graphics technology.
提出了针对机载激光雷达点云的建筑物三维模型提取方法。
Virtual Architecture is defined as the 3D model of building, which employ both CAD utensils and Graphics technology.
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