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A 2D Rigid Point Registration for Satellite Imaging Using Genetic Algorithms

  • Fatiha Meskine
  • Nasreddine Taleb
  • Ahmad Almhdie-Imjabber
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7340)

Abstract

Image registration is an important step for a great variety of applications such as remote sensing, medical imaging, and multi-sensor fusion-based target recognition. The objective is to find, in a huge search space of geometric transformations, an acceptable accurate solution in a reasonable time to provide better registered images for high quality products. In the broad area of global optimization methods, Genetic Algorithms form a widely accepted trade-off between global and local search strategies. They are well-investigated and have proven their applicability in many fields. In this paper, we present an efficient 2D point based rigid image registration method integrating the advantage of the robustness of GAs in finding the best transformation between two images. The algorithm is applied for registering SPOT images and the results show the effectiveness of this approach.

Keywords

Image registration point registration feature points satellite images Genetic Algorithms 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Fatiha Meskine
    • 1
  • Nasreddine Taleb
    • 1
  • Ahmad Almhdie-Imjabber
    • 2
    • 3
  1. 1.Laboratoire RCAMUniversity of Sidi-bel-AbbesAlgeria
  2. 2.Laboratoire PRISMEUniversité d’OrléansOrléansFrance
  3. 3.ISTO InstituteCNRSOrleansFrance

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