Remote Sensing Image Registration Based on Particle Swarm Optimization and Mutual Information

  • Reham Gharbia
  • Sara A. Ahmed
  • Aboul ella Hassanien
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 340)

Abstract

The image registration is an indispensable process in remote sensing image processing. The remote sensing registration data is the process of aligning one image to a second image of the same scene that is acquired at the same or at different times by the different or the same sensors. This paper proposes an optimization approach for remote sensing image registration. The approach is proposed for determining pairs of corresponding points between the images, the approach based on the implementation of particle swarm optimization (PSO) used as a function optimizer and mutual information (MI) is used as a similarity measure. The first, Landmarks were chosen manually and used thin plate spline (TPS) to provide a geometric representation for the relative locations of corresponding landmarks. Secondly, MI was used as a cost function to determine the degree of similarity between two images. Finally, PSO was used to improve the correspondence between the landmarks and to maximize MI function.

Keywords

Remote sensing Image registration Particle swarm optimization Mutual information and image fusion 

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Copyright information

© Springer India 2015

Authors and Affiliations

  • Reham Gharbia
    • 4
    • 1
  • Sara A. Ahmed
    • 2
    • 4
  • Aboul ella Hassanien
    • 3
    • 4
  1. 1.Nuclear Materials AuthorityCairoEgypt
  2. 2.Faculty of ScienceAl-Azhar UniversityCairoEgypt
  3. 3.Faculty of Computers and InformationCairo UniversityCairoEgypt
  4. 4.Scientific Research Group in Egypt (SRGE)CairoEgypt

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