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GEOREFERENCING A RASTER DATA USING GENETIC ALGORITHM

N. Tuno, Z. Avdagic, M. Ponjavic

First published: 2010DOI pendingView metrics

Abstract

Research was conducted into application of genetic algorithm to determine the optimal transformation parameters that are needed for georeferencing scanograms and various digital images. An algorithm based on techique of surface matching was developed, instead of conventional methods using control points. Tests were conducted using the segment of topographic map, produced in time of Austro-Hungarian Empire (represented by numerical model) and modern DEM of Sarajevo Canton. Due to relatively coarse resolution of used DEM, approximate location of the source model were obtained. This is corrected in the next step by the classical method of control point selection, in combination with genetic algorithm. Although this work was focused on small image of a single area, implications on the wider application of the proposed methodology are apparent.

Publication details

Title
GEOREFERENCING A RASTER DATA USING GENETIC ALGORITHM
Authors
N. Tuno, Z. Avdagic, M. Ponjavic
Proceedings
10th International Multidisciplinary Scientific GeoConference SGEM2010
Publisher
SGEM Scientific GeoConference
Year
2010
Pages
1003-1010
SWS Citekey
Tuno2010470
ISSN
1314-2704
ISBN
954-91818-1-2
Language
en
Publication type
Conference Paper
Keywords
Genetic AlgorithmGeoreferencingOptimizationRasterTransformation
References10

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