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A Mesh-Based Typification Method for Building Groups with Grid Patterns

Institut für Kartographie, Technische Universität Dresden, Helmholtzstr. 10, 01069 Dresden, Germany
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(4), 168;
Received: 3 February 2019 / Revised: 14 March 2019 / Accepted: 29 March 2019 / Published: 2 April 2019
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Building groups with special patterns are common layouts in urban settlement areas, which should be carefully generalized. Typification is considered as an appropriate operator to generalize building groups with grid patterns. As an important operator in building generalization, the purpose of typification is to reduce the number of objects while preserving the original distribution characteristics as much as possible. This study proposes a mesh-based method to typify buildings with grid patterns. Firstly, the pattern is subdivided into perfect grid or grid-like patterns by considering the completeness of the grids. The proposed typification method consists of three steps: (1) generating mesh from the proximity graph of buildings; (2) eliminating triangular meshes; (3) determining the number, positions, and representations of the newly created buildings with the help of the related meshes. The proposed method is modeled as an iterative process to achieve hierarchical typification results, which provides support to the map multiple representation. The experimental results demonstrate that the mesh-based typification method can achieve satisfying results in the perfect grid pattern, as well as the grid-like pattern. The new distribution of the typified buildings preserves the original pattern characteristics. View Full-Text
Keywords: building generalization; building group; grid pattern; mesh building generalization; building group; grid pattern; mesh

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Wang, X.; Burghardt, D. A Mesh-Based Typification Method for Building Groups with Grid Patterns. ISPRS Int. J. Geo-Inf. 2019, 8, 168.

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ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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