Automatic positional accuracy assessment of geospatial databases using line-based methods
| Autor: | Francisco Javier Ariza-López, Manuel Antonio Ureña-Cámara, Juan José Ruiz-Lendínez |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Geospatial analysis
Database Computer science Interoperability Perspective (graphical) computer.software_genre Displacement (vector) Set (abstract data type) Genetic algorithm Line (geometry) Earth and Planetary Sciences (miscellaneous) Data mining Computers in Earth Sciences computer Civil and Structural Engineering |
| Zdroj: | Survey Review. 45:332-342 |
| ISSN: | 1752-2706 0039-6265 |
| DOI: | 10.1179/1752270613y.0000000044 |
| Popis: | In this paper, we present a methodology for automating the positional assessment of vector geospatial databases (GDBs). We establish a framework which works with a non-punctual perspective of the accuracy assessment problem, i.e. considering polygons (which represent buildings) as closed linear shapes and using techniques based on buffer generation on the perimeter-lines, which allow us to analyse the displacement between the location of the polygons stored in a GDB (tested source) and a location determined by another GDB (reference source) having higher accuracy. In order to determine a set of homologous objects of both GDBs, a genetic algorithm has been used. The results obtained demonstrate the viability of this evaluation and its potential compared to traditional methods. |
| Databáze: | OpenAIRE |
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