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IMPROVEMENT OF THE GEOMETRIC FOUNDATION FOR SPATIAL DATA INFRASTRUCTURE

Nedim Tuno, Admir Mulahusic, Jusuf Topoljak, Dzenana Mahmutagic, Dusan Kogoj

First published: 2017-06-20https://doi.org/10.5593/sgem2017/23/s11.070View metrics

Abstract

Homogenization and geometric accuracy improvement of the heterogeneous geospatial data is possible by means of application of the adaptive transformation model and transformation model based on the radial basis functions. This can be achieved if the transformation models are based on a sufficient number of the adequate identical points that contain reliable information on the non-uniform and irregularly distributed positional distortions. Accuracy of the transformation final results depends on the choice of the transformation model, and in particular on the selection of identical points. A detailed analysis of the geospatial data geometric distortion causes was conducted in this research as well as the evaluation of the different methods of geometric transformations with purpose to remove the positional distortions from spatial data. Another objective of the research was to investigate current standards for evaluating positional accuracy of geospatial information and choose the most appropriate standards for Bosnia and Herzegovina. Based on the results of extensive analysis of the cadastral maps, a methodology for improving the geospatial databases geometric content quality has been developed with an aim to improve the overall geometric accuracy of the existing spatial data infrastructure at the local and national level.

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Publication details

Title
IMPROVEMENT OF THE GEOMETRIC FOUNDATION FOR SPATIAL DATA INFRASTRUCTURE
Authors
Nedim Tuno, Admir Mulahusic, Jusuf Topoljak, Dzenana Mahmutagic, Dusan Kogoj
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
565-572
SWS Citekey
Tuno201711565572
ISSN
1314-2704
ISBN
978-619-7408-03-4
Language
en
Publication type
Conference Paper
Keywords
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Number of times cited according to Crossref: 1

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