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A New Feature Extraction Method Using Genetic Optimization for Texture Recognition of Satellite Images

A New Feature Extraction Method Using Genetic Optimization for Texture Recognition of Satellite... In this paper, a new approach is proposed for texture feature extraction of satellite images using genetic algorithms. In this approach, the texture feature does not change by changing the angle of the texture. First, image texture is convolved with a trained mask, and then its energy is calculated. A regulatory mask has also been trained by a genetic algorithm using many examples of textured images. Feature extraction experiments are performed on a series of aerial images. Experimental results on both agricultural and urban images show the effectiveness of this feature for texture discrimination process of satellite images. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Agricultural Engineering and Biotechnology Bowen Publishing Company Ltd.

A New Feature Extraction Method Using Genetic Optimization for Texture Recognition of Satellite Images

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Publisher
Bowen Publishing Company Ltd.
Copyright
Copyright © BOWEN PUBLISHING COMPANY LTD.
ISSN
2331-3234
eISSN
2331-3463
DOI
10.18005/JAEB0103003
Publisher site
See Article on Publisher Site

Abstract

In this paper, a new approach is proposed for texture feature extraction of satellite images using genetic algorithms. In this approach, the texture feature does not change by changing the angle of the texture. First, image texture is convolved with a trained mask, and then its energy is calculated. A regulatory mask has also been trained by a genetic algorithm using many examples of textured images. Feature extraction experiments are performed on a series of aerial images. Experimental results on both agricultural and urban images show the effectiveness of this feature for texture discrimination process of satellite images.

Journal

Journal of Agricultural Engineering and Biotechnology – Bowen Publishing Company Ltd.

Published: Nov 21, 2013

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