期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B7
页码：569-574
出版社：Copernicus Publications
摘要：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
