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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...
Image segmentation based on fuzzy clustering with neighborhood information
image segmentation clustering fuzzy c-means
2011/5/6
In this paper, an improved fuzzy c-means (IFCM) clustering algorithm for image segmentation is presented. The originality of this algorithm is based on the fact that the conventional FCM-based algorit...
Fuzzy clustering with spatial constraints for image thresholding
image thresholding fuzzy c-means k-nearest neighbor fuzzy thresholding
2011/4/28
Image thresholding plays an important role in image segmentation. This paper presents a novel fuzzy clustering based image thresholding technique, which incorporates the spatial neighborhood informati...
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...