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COMPARISON OF CLUSTERING TECHNIQUES APPLIED TO LASER DATA
LIDAR First and Last Pulse data Clustering Quality assessment Unsupervised learning Feature Extraction
2015/7/29
During the last decade airborne laser scanning has become a mature technology which is now widely accepted for 3D data collection.
Automated processes employ the scanned laser data and the platform ...
AUTOMATIC EXTRACTION OF ROCK JOINTS FROM LASER SCANNED DATA BY MOVING LEAST SQUARES METHOD AND FUZZY K-MEANS CLUSTERING
terrestrial laser scanning rock joint orientation moving least squares fuzzy K-means clustering
2014/6/5
Recent development of laser scanning device increased the capability of representing rock outcrop in a very high resolution. Accurate 3D point cloud model with rock joint information can help geologis...
EXTRACTION OF SPATIAL OBJECTS FROM LASER-SCANNING DATA USING A CLUSTERING TECHNIQUE
DEM/DTM LIDAR Laser-scanning Algorithms Classification
2015/6/1
This paper explores a novel approach to the extraction of spatial objects from the laser-scanning data using an unsupervised
clustering technique. The technique, namely self-organizing maps (SOM), c...