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《Acta Geodaetica Et Cartographic Sinica》 2002-03
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Determination of Fractal Scaleless Range

WU Zhao cong (School of Remote Sensing and Information Engineering,Wuhan University, Wuhan 430079,China)  
After analyzing the advantage and disadvantage of these methods for fractal terrain analyses, the author proposes a more steady, reliable adaptive method to auto determine scaleless range.This method concentrates attention on obtaining the most wide fractal scaleless range in the condition of passing linear testing. Meanwhile, this method also concerns about the accuracy of fractal parameters and the detection of gross error. The procedure of this method is described in this paper later. In order to test this method's effect and efficiency, digital fractal terrain analyses using different methods are executed on some of typical landscape in China. The results of experiment are compared in detail. It has shown that the adaptive method can determine the scaleless range with higher reliability and higher accuracy. Moreover, in the case of that other methods can't determine scaleless range correctly, the method proposed in this paper can also obtain the scaless range correctly. Concerning about the problem of large scale fractal objects, such as remote sensing image, genetic algorithm is introduced into this method. The encoding mechanism, fitness function, genetic operator and control parameters of genetic algorithm in this method are discussed in detail. Experiments of fractal scaleless range determining using adaptive method with and without genetic algorithms show that adaptive method with genetic algorithms can reduce greatly the amounts of calculation.
【CateGory Index】: P237
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