Multi-spectral satellite image classification using Glowworm Swarm Optimization

Senthilnath, J and Omkar, SN and Mani, V and Tejovanth, N and Diwakar, PG and Shenoy, Archana B (2011) Multi-spectral satellite image classification using Glowworm Swarm Optimization. In: 2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 24-29 July 2011, Vancouver, BC, Canada.

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Abstract

This paper investigates a new Glowworm Swarm Optimization (GSO) clustering algorithm for hierarchical splitting and merging of automatic multi-spectral satellite image classification (land cover mapping problem). Amongst the multiple benefits and uses of remote sensing, one of the most important has been its use in solving the problem of land cover mapping. Image classification forms the core of the solution to the land cover mapping problem. No single classifier can prove to classify all the basic land cover classes of an urban region in a satisfactory manner. In unsupervised classification methods, the automatic generation of clusters to classify a huge database is not exploited to their full potential. The proposed methodology searches for the best possible number of clusters and its center using Glowworm Swarm Optimization (GSO). Using these clusters, we classify by merging based on parametric method (k-means technique). The performance of the proposed unsupervised classification technique is evaluated for Landsat 7 thematic mapper image. Results are evaluated in terms of the classification efficiency - individual, average and overall.

Item Type:	Conference Paper
Publisher:	IEEE
Additional Information:	Copyright 2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords:	Satellite image classification;Landsat;Hierarchical clustering;Mean shift clustering;Glowworm swarm optimization
Department/Centre:	Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited:	23 Dec 2011 07:25
Last Modified:	23 Dec 2011 07:25
URI:	http://eprints.iisc.ac.in/id/eprint/42855

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