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Remote Sens. 2016, 8(9), 737; doi:10.3390/rs8090737

A Semantic Modelling Framework-Based Method for Building Reconstruction from Point Clouds

1
School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
2
Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, Beijing 100830, China
*
Authors to whom correspondence should be addressed.
Academic Editors: Norman Kerle, Randolph Hamilton Wynne and Prasad S. Thenkabail
Received: 12 June 2016 / Revised: 10 August 2016 / Accepted: 30 August 2016 / Published: 8 September 2016
(This article belongs to the Special Issue Fusion of LiDAR Point Clouds and Optical Images)
View Full-Text   |   Download PDF [6082 KB, uploaded 8 September 2016]   |  

Abstract

Over the past few years, there has been an increasing need for semantic information in automatic city modelling. However, due to the complexity of building structure, the semantic reconstruction of buildings is still a challenging task because it is difficult to extract architectural rules and semantic information from the data. To improve the insufficiencies, we present a semantic modelling framework-based approach for automated building reconstruction using the semantic information extracted from point clouds or images. In this approach, a semantic modelling framework is designed to describe and generate the building model, and a workflow is established for extracting the semantic information of buildings from an unorganized point cloud and converting the semantic information into the semantic modelling framework. The technical feasibility of our method is validated using three airborne laser scanning datasets, and the results are compared with other related works comprehensively, which indicate that our approach can simplify the reconstruction process from a point cloud and generate 3D building models with high accuracy and rich semantic information. View Full-Text
Keywords: semantic reconstruction; point cloud; shape grammar; building reconstruction; semantic modelling; city modelling semantic reconstruction; point cloud; shape grammar; building reconstruction; semantic modelling; city modelling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Wang, Q.; Yan, L.; Zhang, L.; Ai, H.; Lin, X. A Semantic Modelling Framework-Based Method for Building Reconstruction from Point Clouds. Remote Sens. 2016, 8, 737.

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