搜索结果: 1-14 共查到“理学 Point clouds”相关记录14条 . 查询时间(0.125 秒)
CLUSTERING OF WALL GEOMETRY FROM UNSTRUCTURED POINT CLOUDS
Building Information Modeling Clustering Wall Building Point Clouds
2019/3/1
The automated reconstruction of Building Information Modeling (BIM) objects from point cloud data is still ongoing research. A key aspect is retrieving the proper observations for each object. After s...
A THRESHOLD-FREE FILTERING ALGORITHM FOR AIRBORNE LIDAR POINT CLOUDS BASED ON EXPECTATION-MAXIMIZATION
Airborne LiDAR Point clouds Filtering Ground points Expectation-maximization Intensity
2018/4/30
Filtering is a key step for most applications of airborne LiDAR point clouds. Although lots of filtering algorithms have been put forward in recent years, most of them suffer from parameters setting o...
EIGENENTROPY BASED CONVOLUTIONAL NEURAL NETWORK BASED ALS POINT CLOUDS CLASSIFICATION METHOD
EIGENENTROPY CONVOLUTIONAL NEURAL NETWORK ALS POINT CLOUDS CLASSIFICATION METHOD
2018/4/30
The classification of point clouds is the first step in the extraction of various types of geo-information form point clouds. Recently the ISPRS WG II/4 provides a benchmark on 3D semantic labelling, ...
COMPARATIVE ANALYSIS OF 3D POINT CLOUDS GENERATED FROM A FREEWARE AND TERRESTRIAL LASER SCANNER
Laser Scanning Close Range Photogrammetry Point clouds Heritage VSfM
2017/5/10
In the recent past, several heritage structures have faced destruction due to both human-made incidents and natural calamities that have caused a great loss to the human race regarding its cultural ac...
GLOBAL REGISTRATION OF KINECT POINT CLOUDS USING AUGMENTED EXTENDED INFORMATION FILTER AND MULTIPLE FEATURES
Global registration Kinect Augmented extended Information filter Point cloud fitting Indoor mapping
2016/10/6
Because the Infra-Red (IR) Kinect sensor only provides accurate depths up to 5 m for a limited field of view (60°), the problem of registration error accumulation becomes inevitable in indoor ma...
COMPARISON OF UAV-ENABLED PHOTOGRAMMETRY-BASED 3D POINT CLOUDS AND INTERPOLATED DSMs OF SLOPING TERRAIN FOR ROCKFALL HAZARD ANALYSIS
Drones UAV Photogrammetry 3D point clouds Rockfall Structure-from-Motion DSM
2016/10/5
UAVs are expected to be particularly valuable to define topography for natural slopes that may be prone to geological hazards, such as landslides or rockfalls. UAV-enabled imagery and aerial mapping c...
3D-MODELING OF VEGETATION FROM LIDAR POINT CLOUDS AND ASSESSMENT OF ITS IMPACT ON FAÇADE SOLAR IRRADIATION
LiDAR solar potential solar irradiation vegetation convex hull individual tree crown detection (ITCD)
2016/10/5
The presence of vegetation can significantly affect the solar irradiation received on building surfaces. Due to the complex shape and seasonal variability of vegetation geometry, this topic has gained...
USING INDIVIDUAL TREE CROWN APPROACH FOR FOREST VOLUME EXTRACTION WITH AERIAL IMAGES AND LASER POINT CLOUDS
Individual Tree Crown (ITC) Laser scanning Tree height Aerial imagery Segmentation
2015/8/13
The objective of this paper is to improve the cost-effectiveness (accuracy of estimates versus applied costs) of present ITC
(Individual Tree Crown) approaches which are based on 1) aerial imagery or...
EXTRACTION OF PLANAR PATCHES FROM POINT CLOUDS TO RETRIEVE DIP AND DIP DIRECTION OF ROCK DISCONTINUITIES
Risk assessment Geomorphology Photogrammetry
2015/8/13
Laser scanners and image matching algorithms produce large amounts of 3D data, allowing detailed and accurate descriptions of
objects. This is true, though, only if interactive or automated software...
MEASURING THE GROWTH OF INDIVIDUAL TREES USING MULTI-TEMPORAL AIRBORNE LASER SCANNING POINT CLOUDS
Height growth laser scanning multi-temporal change detection
2015/8/13
It is well known that characteristics of individual trees, such as tree height, biomass and crown area, can be derived from airborne
laser scanning (ALS) and that heights for individual trees can be ...
A FRAMEWORK FOR POSITION UNCERTAINTY OF UNORGANISED THREE-DIMENSIONAL POINT CLOUDS FROM NEAR-MONOSTATIC LASER SCANNERS USING COVARIANCE ANALYSIS
Position uncertainty Three-dimensional Point Cloud Laser Scanning
2015/8/13
Position uncertainty is one of the most important quantities of an unorganised three-dimensional point clouds since it
provides the confidence level of any parametric estimation such as surface...
URBAN MODELING BASED ON SEGMENTATION AND REGULARIZATION OF AIRBORNE LIDAR POINT CLOUDS
idar Building reconstruction Urban area modelling
2015/6/1
This paper presents an approach to process raw lidar 3-D point clouds over urban area and extract terrain, buildings and other urban
features. In the initial step, “non-ground points” are separated ...
SEMANTIC FEATURE BASED REGISTRATION OF TERRESTRIAL POINT CLOUDS
Registration Terrestrial laser scanning Feature extraction
2009/2/19
As an active remote sensing technique, Terrestrial Laser Scanning (TLS) is popular for constructing detailed 3D models of complex
objects. To create a complete 3D scene, TLS point clouds scanned fro...
THE EVALUATION OF THE INTERNAL QUALITY OF LASER SCANNING STRIPS USING THE INTERACTIVE ORIENTATION METHOD AND POINT CLOUDS
Laser scanning Adjustment, Quality
2004/6/1
The quality of laser scanning point clouds has become a topical research issue. The quality has been determined by the sum of
several error sources caused by various factors affecting accuracy. In t...