搜索结果: 1-13 共查到“Point cloud data”相关记录13条 . 查询时间(0.13 秒)
3D CITYGML BUILDING MODELLING FROM LIDAR POINT CLOUD DATA
LiDAR point cloud, CityGML LoD1 LoD Smart Cities D building model
2018/11/19
With recent government initiatives for smart cities, 3D virtual city models are in demand for managing and monitoring the urban infrastructure. 3D building models forms an important component of 3D vi...
AUTOMATED BUILDING DETECTION USING RANSAC FROM CLASSIFIED LIDAR POINT CLOUD DATA
LiDAR RANSAC Building Detection Plane Detection Python LAS Point Cloud
2018/10/26
For the past 10 years, the Philippines has seen and experienced the growing force of different natural disasters and because of this the Philippine governement started an initiative to use LiDAR techn...
COMBINED VISUAL EXPLORATION OF 2D GROUND RADAR AND 3D POINT CLOUD DATA FOR ROAD ENVIRONMENTS
Ground Penetrating Radar 3D Point Cloud Infrastructure Maintenance
2018/9/12
Ground-penetrating 2D radar scans are captured in road environments for examination of pavement condition and below-ground variations such as lowerings and developing pot-holes. 3D point clouds captur...
INTEGRATION OF TREE DATABASE DERIVED FROM SATELLITE IMAGERY AND LIDAR POINT CLOUD DATA
Tree Crown Identification and Delineation Canopy Height Model Lidar Point Cloud Camera Model
2018/9/12
3D tree database provides essential information of tree species abundance, spatial distribution and tree height for forest mapping, sustainable urban planning and 3D city modelling. Fusion of passive ...
A GROSS ERROR ELIMINATION METHOD FOR POINT CLOUD DATA BASED ON KD-TREE
Data point cloud Gross error elimination Kd-tree
2018/4/30
Point cloud data has been one type of widely used data sources in the field of remote sensing. Key steps of point cloud data’s pro-processing focus on gross error elimination and quality control. Owin...
DENOISING POINT CLOUD DATA OF SMALL-STRUCTURED FREE FORMSURFACES CAPTURED BY A PHASE-BASED LASERSCANNER
Laser scanning Close-range Point Cloud Filtering Cultural Heritage
2016/2/29
Terrestrial laser scanners based on the time-of-flight measurement principle or the phase comparison method are used for cultural
heritage documentation. Only if the scanned surfaces consist of exte...
Automatic Building Detection from LIDAR Point Cloud Data
Building Detection LIDAR DSM DTM Normalized DSM
2015/12/16
This paper proposes an automatic system which detects buildings in urban and rural areas by the use of first pulse return and last pulse return LIDAR data. Initially both first and last pulse return p...
A HADOOP-BASED ALGORITHM OF GENERATING DEM GRID FROM POINT CLOUD DATA
Hadoop LiDAR Digital Elevation Model
2015/5/7
Airborne LiDAR technology has proven to be the most powerful tools to obtain high-density, high-accuracy and significantly detailed surface information of terrain and surface objects within a short ...
RECONSTRUCTION OF CONSISTENT 3D CAD MODELS FROM POINT CLOUD DATA USING A PRIORI CAD MODELS
Industrial Plants Modeling Point Cloud CAD Model Reverse Engineering Bayesian Reconstruction
2012/9/3
We address the reconstruction of 3D CAD models from point cloud data acquired in industrial environments, using a pre-existing 3D model as an initial estimate of the scene to be processed. Indeed, thi...
VERTICAL VEGETATION STRUCTURE ANALYSIS AND HYDRAULIC ROUGHNESS DETERMINATION USING DENSE ALS POINT CLOUD DATA - A VOXEL BASED APPROACH
surface roughness hydraulic simulation Manning's n land cover full-waveform LiDAR
2012/9/3
In this contribution the complexity of the vertical vegetation structure, based on dense airborne laser scanning (ALS) point cloud data (25 echoes/m2 ), is analyzed to calculate vegetation roughness f...
A RECOGNITION METHOD FOR AIRPLANE TARGETS USING 3D POINT CLOUD DATA
LiDAR Point cloud data Target recognition Target segmentation KD-Tree Moment invariants
2012/7/30
LiDAR is capable of obtaining three dimension coordinates of the terrain and targets directly and is widely applied in digital city, emergent disaster mitigation and environment monitoring. Especially...
CLASSIFICATION BY USING MULTISPECTRAL POINT CLOUD DATA
Classification Image Matching Close Range Photogrammetry Infrared Point Cloud
2012/7/24
Remote sensing images are generally recorded in two-dimensional format containing multispectral information. Also, the semantic information is clearly visualized, which ground features can be better r...
基于非均匀细分的散乱点云数据精简算法（Algorithm of Scattered Point Cloud Data Reduction Based on Non-uniform Subdivision）
逆向工程 散乱点云 非均匀细分
2009/9/25
针对海量散乱点云数据精简问题，提出了基于非均匀细分的精简算法。采用八叉树结构对点云数据进行空间分割，由分割结果建立k邻域。对k邻域内的散乱点进行二次曲面拟合，以拟合曲面的平均曲率为判据决定是否对八叉树空间实行非均匀细分，细分过程中由数据点之间的最大间隔角决定细分程度。构造曲率差函数，识别出边界数据点，对其进行数据保护。该算法对具有曲率多样化特点的点云数据的精简具有实用性，通过实验验证了该算法的可靠...