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《Journal of Anhui Agricultural Sciences》 2005-10
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Classification of Forestry with Fractal Dimension Value

LIU Lin (Anhui Agricultural University, Hefei, Anhui 230036)  
In this paper the TM images of Jincang forestry center in Changbai mountain were used, and the fractal feature image calculated by box-counting technique was used to proceed supervised classification. Compared with supervised classification without fractal information, the accuracy of broadleaf tree was promoted effectively; the accuracy of residential area and farmland was promoted in some degree, but there wasn't distinct improvement for conifer and mixed forest. The result indicated that the fractal information can promote the accuracy of forestry classification in some degree.
【CateGory Index】: S771.3
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