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A BBO based framework for natural terrain identification in remote sensing

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Abstract

Nature inspired intelligence is increasingly being used to solve complex problems. Identifying different types of terrains present in the satellite imagery of a given region is one such problem in the field of remote sensing. Prospects of its numerous applications in real life have been a motivating factor for scientists to develop newer terrain analyzers to perform this task with more precision. This paper presents a two phase biogeography based optimization (BBO) based generic frame work for identifying natural terrain features in a given region. BBO is a population-based algorithm and is based on the theory of island biogeography that explains the geographical distribution of biological organisms. Validation is performed on two remote sensing datasets for Alwar and Delhi regions in India. Better performance of proposed analyzers has been observed as compared to state of the art techniques.

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Acknowledgments

We acknowledge Defense Terrain Research laboratory (DTRL) of Defense Research and Development Organization (DRDO), Delhi, India for providing the real datasets for this work.

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Authors and Affiliations

  1. Department of Computer Science, D.D.U. College, Delhi University, Delhi, India

    Arpita Sharma

  2. Department of Computer Science, Delhi University, Delhi, India

    Samiksha Goel

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  1. Arpita Sharma
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  2. Samiksha Goel
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Correspondence to Arpita Sharma.

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Sharma, A., Goel, S. A BBO based framework for natural terrain identification in remote sensing. Memetic Comp. 7, 43–58 (2015). https://doi.org/10.1007/s12293-015-0154-1

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  • DOI: https://doi.org/10.1007/s12293-015-0154-1

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