A Polygon and Point-Based Approach to Matching Geospatial Features

Juan José Ruíz Ruíz · Manuel Antonio Ureña-Cámara · Francisco Javier Ariza López

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Geographic Information Systems Studies Data Quality and Management Automated Road and Building Extraction

Abstract

A methodology for matching bidimensional entities is presented in this paper. The matching is proposed for both area and point features extracted from geographical databases. The procedure used to obtain homologous entities is achieved in a two-step process: The first matching, polygon to polygon matching (inter-element matching), is obtained by means of a genetic algorithm that allows the classifying of area features from two geographical databases. After this, we apply a point to point matching (intra-element matching) based on the comparison of changes in their turning functions. This study shows that genetic algorithms are suitable for matching polygon features even if these features are quite different. Our results show up to 40% of matched polygons with differences in geometrical attributes. With regards to point matching, the vertex from homologous polygons, the function and threshold values proposed in this paper show a useful method for obtaining precise vertex matching.

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References

2014Quality assessment for building footprints data on OpenStreetMap 1997A simple positional accuracy measure for linear features 1999Matching spatial data sets: a statistical approach 2004A feature-based approach to conflation of geospatial sources 2012Assessing Data Completeness of VGI through an Automated Matching Procedure for Linear Data 2007Integration of heterogeneous geospatial data in a federated database 2011Digital map conflation: a review of the process and a proposal for classification 2008Automated conflation of digital gazetteer data

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