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ISPRS Int. J. Geo-Inf. 2017, 6(12), 399; doi:10.3390/ijgi6120399

A Polygon and Point-Based Approach to Matching Geospatial Features

Departamento de Ingeniería Cartográfica, Geodésica y Fotogrametría, Escuela Politécnica Superior de Jaén, Universidad de Jaén, 23071 Jaén, Spain
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Received: 19 October 2017 / Revised: 17 November 2017 / Accepted: 1 December 2017 / Published: 5 December 2017
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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. View Full-Text
Keywords: area entities matching; point entities matching; genetic algorithm; turning function descriptor; geographical databases area entities matching; point entities matching; genetic algorithm; turning function descriptor; geographical databases
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Ruiz-Lendínez, J.J.; Ureña-Cámara, M.A.; Ariza-López, F.J. A Polygon and Point-Based Approach to Matching Geospatial Features. ISPRS Int. J. Geo-Inf. 2017, 6, 399.

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