Paper

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


Authors:
Gholamreza Akbarizadeh
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.
Keywords
Genetic Optimization; Satellite Images; Feature Extraction; Texture
StartPage
68
EndPage
73
Doi
10.18005/JAEB0103003
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