搜索结果: 61-75 共查到“工学 point clouds”相关记录170条 . 查询时间(0.101 秒)
INTEGRATION OF IMAGES AND LIDAR POINT CLOUDS FOR BUILDING FA茿DE TEXTURING
Fa鏰de Texture GLCM Image
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2016/7/8
This paper proposes a model-based method for texture mapping using close-range images and Lidar point clouds. Lidar point clouds are used to aid occlusion detection. For occluded areas, we compensate ...
SIDELOADING – INGESTION OF LARGE POINT CLOUDS INTO THE APACHE SPARK BIG DATA ENGINE
Big Data LiDAR Cloud Computing
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2016/7/8
In the geospatial domain we have now reached the point where data volumes we handle have clearly grown beyond the capacity of most desktop computers. This is particularly true in the area of point clo...
PARALLEL PROCESSING OF BIG POINT CLOUDS USING Z-ORDER-BASED PARTITIONING
Z-order Spatial partitioning Big Data
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2016/7/8
As laser scanning technology improves and costs are coming down, the amount of point cloud data being generated can be prohibitively difficult and expensive to process on a single machine. This data e...
ACCURACY ASSESSMENT OF MOBILE MAPPING POINT CLOUDS USING THE EXISTING ENVIRONMENT AS TERRESTRIAL REFERENCE
Accuracy Assessment Mobile Mapping Point Cloud Reference Data Total Station 3D Test Field Facades Street profile
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2016/7/5
Mobile mapping data is widely used in various applications, what makes it especially important for data users to get a statistically verified quality statement on the geometric accuracy of the acquire...
RAPID INSPECTION OF PAVEMENT MARKINGS USING MOBILE LIDAR POINT CLOUDS
Mobile LiDAR Point Cloud Pavement Marking Urban Road Automated Detection
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2016/7/5
This study aims at building a robust semi-automated pavement marking extraction workflow based on the use of mobile LiDAR point clouds. The proposed workflow consists of three components: preprocessin...
3D LAND COVER CLASSIFICATION BASED ON MULTISPECTRAL LIDAR POINT CLOUDS
Multispectral Lidar OBIA Intensity Imagery Multi-resolution Segmentation Classification Accuracy Assessment 3D Land Cover Classification
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2016/7/5
Multispectral Lidar System can emit simultaneous laser pulses at the different wavelengths. The reflected multispectral energy is captured through a receiver of the sensor, and the return signal toget...
A ROBUST REGISTRATION ALGORITHM FOR POINT CLOUDS FROM UAV IMAGES FOR CHANGE DETECTION
andslide dynamics normal distance bundle block adjustment with self-calibration structure from motion 3D dense surface reconstruction Unmanned Aerial Vehicle (UAV)
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2016/7/5
Landslides are among the major threats to urban landscape and manmade infrastructure. They often cause economic losses, property damages, and loss of lives. Temporal monitoring data of landslides from...
DETERMINING STAND PARAMETERS FROM UAS-BASED POINT CLOUDS
Tree Detection Stand Parameters Unmanned Aerial System Canopy Height Model Forest MATLAB
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2016/7/4
In Turkey, forest management plans are produced by terrestrial surveying techniques for 10 or 20 year periods, which can be considered quite long to maintain the sustainability of forests. For a succe...
PERFORMANCE EVALUATION OF DIFFERENT GROUND FILTERING ALGORITHMS FOR UAV-BASED POINT CLOUDS
Point Cloud Ground Filtering Unmanned Aerial Vehicle Aerial Photo Digital Elevation Model Adaptive TIN
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2016/7/4
Digital Elevation Model (DEM) generation is one of the leading application areas in geomatics. Since a DEM represents the bare earth surface, the very first step of generating a DEM is to separate the...
FILTERING OF TLS POINT CLOUDS FOR THE GENERATION OF DTM IN SALT-MARSH AREAS.
Terrestrial Laser Scanner DTM data clustering salt-marsh ecogeomorphic dynamics
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2016/2/29
Marshes are ubiquitous landforms in estuaries and lagoons, where important hydrological, morphological and ecological processes
take place. These areas attenuate sea action on the coast and act as s...
METHODS FOR THE AUTOMATIC GEOMETRIC REGISTRATION OF TERRESTRIAL LASER SCANNER POINT CLOUDS IN FOREST STANDS
Terrestrial laser scanning forest stands registration sphere extraction tree axes
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2016/2/29
A combined analysis of multiple terrestrial laser scanner point clouds recorded from different positions requires a geometric
registration of these scans. In most applications of terrestrial laser s...
Nearest Neighbour Classification on Laser Point Clouds to Gain Object Structures from Buildings
Laser data point cloud classification nearest neighbour covariance eigenvalues
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2016/1/25
The application of three dimensional building models has become more and more important for urban planning, enhanced navigation
and visualization of touristy or historic objects. 3D models can be use...
Comparison of Data Classification Techniques Applied to TLS Point Clouds
Terrestrial Laser Scanner DTM data clustering
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2015/12/16
Marshes are ubiquitous landforms in estuaries and lagoons, where important hydrological, morphological and ecological processes
take place. These areas attenuate sea action on the coast and act as se...
An Accurate Registration Method Based on Point Clouds and Redundancy Elimination of LIDAR Data
LIDAR Point cloud Registration
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2015/12/16
A new method for accurate registration and redundancy elimination on point clouds is presented in this paper. Firstly, the accurate
registration arithmetic which based on Iterative Closest Point (ICP...
Registration of Terrestrial Laser Scanner Unoverlap Point Clouds by One Image
TLS Point Cloud Registration
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2015/12/16
Registration of point clouds in the same coordinate system is the most important step in processing of terrestrial laser scanner
measurements. Used methods for registration of point clouds have requi...