Neuro-genetic approach for detecting changes in multitemporal remotely sensed images

Authors:
Aditi Mandal;Susmita Ghosh;Ashish Ghosh
Affiliations:
Ixia Technologies Pvt. Ltd., Sector V, Kolkata, India;Department of Computer Science and Engineering, Jadavpur University, India;MIU and CSCR, Indian Statistical Institute, Kolkata, India
Venue:
PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
Year:
2011

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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.