International Journal of Application or Innovation in Engineering & Management
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Title: |
Study of Classification of Remote Sensing Images using Particle Swarm Optimization based approach
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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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