Optimal ground control points for geometric correction using genetic algorithm with global accuracy

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Abstract

Establishing the ground control point (GCP) network is a pre-requisite for georeferencing raw image data. Given current typical digital spatial database quality, much interest among users is about the accuracy of the geometric correction model that yields the final product. This paper reports an approach to optimizing GCP assembly using a genetic/evolution algorithm. The paper also suggests an optimal criterion for accuracy assessment through appraisal of global accuracy of the transformation, which is computed at each point of the image space. Experimental results demonstrate that the proposed approach has a great potential for selection of the best GCPs, and considerable improvement to the accuracy of geometric correction models can be expected when it is implemented.

Original languageEnglish
Pages (from-to)101-120
Number of pages20
JournalEuropean Journal of Remote Sensing
Volume48
DOIs
Publication statusPublished - 2015
Externally publishedYes

Keywords

  • Genetic algorithm
  • Geometric correction
  • Georeferencing
  • Global accuracy
  • Ground control point
  • Voronoi diagram

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