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ISPRS Int. J. Geo-Inf. 2017, 6(9), 260; doi:10.3390/ijgi6090260

Texture-Cognition-Based 3D Building Model Generalization

1
Chinese Academy of Surveying & Mapping, Beijing 100830, China
2
Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
*
Author to whom correspondence should be addressed.
Academic Editors: Jianming Liang, Jianhua Gong, Yu Liu and Wolfgang Kainz
Received: 28 May 2017 / Revised: 17 August 2017 / Accepted: 21 August 2017 / Published: 23 August 2017

Abstract

Three-dimensional (3D) building models have been widely used in the fields of urban planning, navigation and virtual geographic environments. These models incorporate many details to address the complexities of urban environments. Level-of-detail (LOD) technology is commonly used to model progressive transmission and visualization. These detailed groups of models can be replaced by a single model using generalization. In this paper, the texture features are first introduced into the generalization process, and a self-organizing mapping (SOM)-based algorithm is used for texture classification. In addition, a new cognition-based hierarchical algorithm is proposed for model-group clustering. First, a constrained Delaunay triangulation (CDT) is constructed using the footprints of building models that are segmented by a road network, and a preliminary proximity graph is extracted from the CDT by visibility analysis. Second, the graph is further segmented by the texture–feature and landmark models. Third, a minimum support tree (MST) is created from the segmented graph, and the final groups are obtained by linear detection and discrete-model conflation. Finally, these groups are conflated using small-triangle removal while preserving the original textures. The experimental results demonstrate the effectiveness of this algorithm. View Full-Text
Keywords: 3D building generalization; texture; SOM; cognition; constrained Delaunay triangulation 3D building generalization; texture; SOM; cognition; constrained Delaunay triangulation
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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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Liu, P.; Li, C.; Li, F. Texture-Cognition-Based 3D Building Model Generalization. ISPRS Int. J. Geo-Inf. 2017, 6, 260.

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