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GROUND SURFACE VISUALIZATION USING RED RELIEF IMAGE MAP FOR A VARIETY OF MAP SCALES
Ground surface RRIM Visualization
2016/7/8
There are many methods to express topographical features of ground surface. In which, contour map has been the traditional method and along with development of digital data, surface model such as shad...
Usually, filtering is performed in order to extract a ground surface from laser points obtained with the airborne laser scanner. It
mainly removes the laser points that were measured as trees surfac...
ON GROUND SURFACE EXTRACTION USING FULL-WAVEFORM AIRBORNE LASER SCANNER FOR CIM
Airborne laser scanner Full-waveform data Ground surface extraction Evergreen broad-leaved trees Virtual ground surface
2015/5/21
Satellite positioning systems such as GPS and GLONASS have created significant changes not only in terms of spatial information but also in the construction industry. It is possible to execute a suita...
GROUND SURFACE ESTIMATION FROM AIRBORNE LASER SCANNER DATA USING ACTIVE SHAPE MODELS
Ground Surface Estimation Laser Scanning
2015/3/24
Various filtering techniques exist to obtain the ground from laser radar data to use when building digital terrain models. This paper
develops an active shape model approach to estimate the ground s...
Scalable and Detail-Preserving Ground Surface Reconstruction from Large 3D Point Clouds Acquired by Mobile Mapping Systems
Surface reconstruction LiDAR geometry urban mobile mapping
2014/9/9
The currently existing mobile mapping systems equipped with active 3D sensors allow to acquire the environment with high sampling rates at high vehicle velocities. While providing an effective solutio...
INTEGRATION OF DIFFERENT FILTER ALGORITHMS FOR IMPROVING THE GROUND SURFACE EXTRACTION FROM AIRBORNE LIDAR DATA
Airborne LiDAR Filter algorithm Integration Filtering error Statistics
2014/4/24
An important step for processing airborne Light Detection And Ranging (LiDAR) data is point cloud filtering. Points striking on
vegetation and man-made objects and low points (points significantly l...