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Volume & Issue no: Volume 3, Issue 10, October 2014

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Title:
Study of Classification of Remote Sensing Images using Particle Swarm Optimization based approach
Author Name:
Geeta R. Gupta and Prof. S. M. Kamalapur
Abstract:
ABSTRACT Remote sensing images have wide applications in the domains like Geoscience, Biomedical, Forensic, etc. Remote sensing image is high resolution image, having several bands. Each band provide ample of spectral information to identify and distinguish spectrally unique information. Wide range of advanced classification techniques are available based on spectral information and spatial information. To improve classification accuracy it is essential to identify and reduce this bands in image processing chain. This paper presents a survey of various methods used for classification. Also their limitations and how to overcome those limitations by using PSO. Keywords: Band selection, classification, Particle Swarm Optimization(PSO), Remote sensing Image, Transformation
Cite this article:
Geeta R. Gupta and Prof. S. M. Kamalapur , " Study of Classification of Remote Sensing Images using Particle Swarm Optimization based approach" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 3, Issue 10, October 2014 , pp. 165-169 , ISSN 2319 - 4847.
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