CONDITIONAL RANDOM FIELDS FOR THE CLASSIFICATION OF LIDAR POINT CLOUDS

In this paper we propose a probabilistic supervised classification algorithm for LiDAR (Light Detection And Ranging) point clouds. Several object classes (<i>i.e. ground, building and vegetation</i>) can be separated reliably by considering each point's neighbourhood. Based on Condi...

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Bibliographic Details
Main Authors: J. Niemeyer, C. Mallet, F. Rottensteiner, U. Sörgel
Format: Article
Language:English
Published: Copernicus Publications 2012-09-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-4-W19/209/2011/isprsarchives-XXXVIII-4-W19-209-2011.pdf