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CONDITIONAL RANDOM FIELDS FOR THE CLASSIFICATION OF LIDAR POINT CLOUDS
Conditional Random Fields 3D Point Cloud LiDAR Classification
2014/6/5
In this paper we propose a probabilistic supervised classification algorithm for LiDAR (Light Detection And Ranging) point clouds.
Several object classes (i.e. ground, building and vegetation) ca...
EXTRACTING BUILDING FOOTPRINTS FROM 3D POINT CLOUDS USING TERRESTRIAL LASER SCANNING AT STREET LEVEL
3D Point Cloud Hough Transform RANSAC Method
2016/3/1
In this paper, we address the problem of generating building footprints using terrestrial laser scanning from a Mobile Mapping System
(MMS). The MMS constitutes a fast and adapted tool to extract pre...
Detection of model-based Individual Conifer Tree Crown and Estimation of Tree Height Using LiDAR Point Clouds
Airborne LiDAR Forestry Tree height Model-based conifer tree crown Individual tree crown detection
2010/11/24
Individual tree crown parameters and tree height are desirable in forest inventory and ecological studies to estimate forest carbon stocks and volume acculately. In this study, a new method to detect ...
ON THE AUTOMATION OF THE REGISTRATION OF POINT CLOUDS USING THE METROPOLIS ALGORITHM
Vision Sciences Registration Reconstruction
2015/6/1
Surface measurement of complex geometric objects by means of optical measurement techniques, such as laser scanning or
photogrammetry, requires multiple scans from various stations. The recorded dat...