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Author Jingxue Wang, A. ♦ Weidong Song, A. ♦ Feng Gao, B.
Source CiteSeerX
Content type Text
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Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Abstract Texture is the important spatial structure information and primary feature of remote sensing imagery. It contains the surface information of imagery and the relationship with around environment. Firstly focusing on the basic principle of fractal, this paper adopts five different kinds of fractal algorithms to calculate the fractal dimensions of image texture towards the researching image, and gains five different fractal features. Secondly, according to the above obtained five fractal features, this paper makes the feature extraction under the principle of the transformation based on classibility criterion, and obtains two group new feature vectors. Finally, in the experiments, this paper carries on the image classification using the two new feature vectors, and gets the classification results. This paper adopts the fusion matrix to evaluate the precision of these classification results, and validates the feasibility, precision, and reliability of this method. 1. INTRODUCE Texture is the important spatial structure information and primary feature of remote sensing imagery. It contains the surface information of imagery and the relationship with around environment. As carrying on the classification toward RS imagery, texture feature is one kind of common classification standard and judgment principle. Among the various methods of
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article