Neuro-Genetic Approach for Detecting Changes in Multitemporal Remotely Sensed Images

  • Aditi Mandal
  • Susmita Ghosh
  • Ashish Ghosh
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6744)

Abstract

In the present work the searching capability of Genetic Algorithms (GAs) is exploited to evolve suitable Hopfield type neural network architectures for optimum change detection of multitemporal remotely sensed images. Experiments carried out on two remote sensing images confirm the effectiveness of the proposed technique.

Keywords

Change detection Hopfield type neural network Genetic Algorithm Remote sensing Multitemporal images 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Aditi Mandal
    • 1
  • Susmita Ghosh
    • 2
  • Ashish Ghosh
    • 3
  1. 1.Ixia Technologies Pvt. Ltd.KolkataIndia
  2. 2.Department of Computer Science and EngineeringJadavpur UniversityIndia
  3. 3.MIU and CSCRIndian Statistical InstituteKolkataIndia

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