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《Science of Surveying and Mapping》 2008-02
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Study on classification of land cover with remote sensing image based on fractal texture

WANG Juan①②,ZHANG Jun①②,L Zhao-feng③(①Liaoning Technical University,Fuxin 123000;②Chinese Academy of Surveying and Mapping,Beijing 100039,China;③Xi’an Communication Institute,Xi’an 710106,China)  
This paper presents a unsupervised classification method of remote sensing image based on Fractal Theory and ameliorated Fuzzy C-Means Clustering(FCMC), which takes advantages of both spectral and textural features. Firstly, principal-component transformation is performed with the hel Pof several classification elements such as various directions fractal dimensions of Fractal Brown Motion, Difference Box-Counting dimension and lacunarity and so on. Then, with improved FCMC as classifier, the precision of classification results with Confusion-Matrix is assessed. Finally, the experiment of classifying the land cover of remote sensing image has been done and the result is satisfactory, which verifies the effect of this method.
【CateGory Index】: TP751
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