Digital map conflation: a review of the process and a proposal for classification
Juan José Ruíz Ruíz, Francisco Javier Ariza, Manuel A. Ureña, E. B. Blázquez
Abstract
Juan José Ruíz Ruíz, Francisco Javier Ariza, Manuel A. Ureña, E. B. Blázquez
Abstract
This article is centred on analysing the state of the art of the conflation processes applied to geospatial databases (GDBs) from heterogeneous sources. The term conflation is used to describe the procedure for the integration of these different data, and conflation methods play an important role in systems for updating GDBs, derivation of new cartographic products, densification of digital elevation models, automatic features extraction and so on. In this article we define extensively each conflation process, its evaluation measures and its main application problems and present a classification of all conflation processes. Finally, we introduce a bibliography which the reader may find useful to further explore the field. It tries to serve as a starting point and direct the reader to characteristic research in this area.
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This article is centred on analysing the state of the art of the conflation processes applied to geospatial databases (GDBs) from heterogeneous sources. The term conflation is used to describe the procedure for the integration of these different data, and conflation methods play an important role in systems for updating GDBs, derivation of new cartographic products, densification of digital elevation models, automatic features extraction and so on. In this article we define extensively each conflation process, its evaluation measures and its main application problems and present a classification of all conflation processes. Finally, we introduce a bibliography which the reader may find useful to further explore the field. It tries to serve as a starting point and direct the reader to characteristic research in this area.
Key concepts: Conflation, Geospatial analysis, Field (mathematics), Process (computing), Computer science, Point (geometry), Information retrieval, Data science