Next Article in Journal
Extraction of Urban Power Lines from Vehicle-Borne LiDAR Data
Previous Article in Journal
Changes in Vegetation Growth Dynamics and Relations with Climate over China’s Landmass from 1982 to 2011
Open AccessArticle

Segmentation of Sloped Roofs from Airborne LiDAR Point Clouds Using Ridge-Based Hierarchical Decomposition

by Hongchao Fan 1, Wei Yao 2,3,* and Qing Fu 4
GIScience Research Group, Heidelberg University, Berliner Str. 48, Heidelberg 69120, Germany
Department of Photogrammetry and Remote Sensing, Technische Universitaet Muenchen, Acisstr. 21, Munich 80333, Germany
The State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China
College of Surveying and GeoInfomatic, Tongji University, Sipinglu 1239, Shanghai 200092, China
Author to whom correspondence should be addressed.
Remote Sens. 2014, 6(4), 3284-3301;
Received: 20 November 2013 / Revised: 27 February 2014 / Accepted: 24 March 2014 / Published: 11 April 2014
This paper presents a new approach for roof facet segmentation based on ridge detection and hierarchical decomposition along ridges. The proposed approach exploits the fact that every roof can be composed of a set of gabled roofs and single facets which are separated by the gabled roofs. In this work, firstly, building footprints stored in OpenStreetMap are used to extract 3D points on roofs. Then, roofs are segmented into roof facets. The algorithm starts with detecting roof ridges using RANSAC since they are parallel to the horizon and situated on the top of the roof. The roof ridges are utilized to indicate the location and direction of the gabled roof. Thus, points on the two roof facets along a roof ridge can be identified based on their connectivity and coplanarity. The results of the segmentation benefit the further process of roof reconstruction because many parameters, including the position, angle and size of the gabled roof can be calculated and used as priori knowledge for the model-driven approach, and topologies among the point segments are made known for the data-driven approach. The algorithm has been validated in the test sites of two towns next to Bavaria Forest national park. The experimental results show that building roofs can be segmented with both high correctness and completeness simultaneously. View Full-Text
Keywords: segmentation; building roof; LiDAR; OpenStreetMap segmentation; building roof; LiDAR; OpenStreetMap
MDPI and ACS Style

Fan, H.; Yao, W.; Fu, Q. Segmentation of Sloped Roofs from Airborne LiDAR Point Clouds Using Ridge-Based Hierarchical Decomposition. Remote Sens. 2014, 6, 3284-3301.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

Only visits after 24 November 2015 are recorded.
Back to TopTop