Characterization and detection of building patterns in cartographic data

Two algorithms

Conference paper

Authors

X. Zhang

T. Ai

J.E. Stoter

Department

OTB Research (OTB Research Institute for the Built Environment) (TU Delft)

Pattern recognition Algorithm Graph theory Map generalization Delaunay triangulation Building pattern Minimum spanning tree

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Source:

Proceedings ISPRS Commission II Mid-Term Symposium ?Theory, Data Handling and Modelling in GeoSpatial Information Science?, Hong Kong, 26-28 May 2010; IAPRS, XXXVIII (2), 2010

Faculty

OTB Research Institute for the Built Environment

Department

OTB Research

Abstract

Building patterns are important features in applications like automated generalization and spatial data mining. Many previous work has however focused on a few specific patterns (i.e. collinear pattern), while many others are less discussed. This paper proposes a comprehensive typology of available building patterns through the study of existing maps, and discusses their characteristics. This typology includes collinear, curvilinear, align-along-road, grid-like and unstructured patterns. Two algorithms are presented to detect align-along-road and unstructured building patterns, which are tested against a topographic dataset of the Netherlands.

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