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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...
APPLICABILITY ANALYSIS OF CLOTH SIMULATION FILTERING ALGORITHM FOR MOBILE LIDAR POINT CLOUD
LiDAR point cloud Cloth simulation filtering Mobile laser scanning Ground points Non-ground points
2018/4/30
Classifying the original point clouds into ground and non-ground points is a key step in LiDAR (light detection and ranging) data post-processing. Cloth simulation filtering (CSF) algorithm, which bas...
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...
Classification of LIDAR Point Cloud and Generation of DTM from LIDAR Height and Intensity Data In Forested Area
LIDAR Intensity Skewness Point Cloud DTM Forested Areas
2015/12/8
LIDAR (Light Detection And Ranging) is a mature remote sensing technology which can provide accurate elevation data for both topographic surfaces and above-ground objects. Derivation of accurate digit...
Data Filtering and Feature Extraction of Urban Typical Objects from Airborne LIDAR Point Cloud
LIDAR Filtering Aerial Survey Feature Extraction Buildings Airborne Scanner Systems Urban Planning
2015/12/8
The research in the detection and feature extraction of typical objects in urban areas has intensified. In existing detection technologies, it has been shown that the LIDAR technique is very promising...
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 ...
A COMPARISON OF TWO DIFFERENT APPROACHES OF POINT CLOUD CLASSIFICATION BASED ON FULL-WAVEFORM LIDAR DATA
full-waveform LiDAR Decomposition Unsupervised classification point cloud, space transform EM algorithm
2012/7/24
In this paper, two different point cloud classification approaches were applied based on the full-waveform LiDAR data. At the beginning, based on the full-waveform LiDAR data, we decomposed the backsc...
SURFACE COMPLEXITY COMPONENT OF LIDAR POINT CLOUD ERROR CHARACTERIZATION
Airborne LiDAR DEM Point cloud Surface complexity Accuracy/Error Assessment
2012/7/20
There are several data product characterization methods to describe LiDAR data quality. Typically based on guidelines developed by government or professional societies, these techniques require the st...