Method for identifying action scale of land utilization fractal dimension based on genetic algorithm

Abstract

The invention provides a method for identifying an action scale of land utilization fractal dimension based on a genetic algorithm. The method comprises the specific steps of firstly, interpreting and extracting land utilization classified information by using remote-sensing images, conducting statistics on land classified area information of buffer areas of different radiuses, and establishing logarithmic relation between the area and the radius of each class of land according to a fractal dimension calculation formula; and then analyzing a parametric coding mechanism of the genetic algorithm so as to generate an initial group; designing a fitness function on the basis of the initial group; and obtaining the optimal action scale of fractal dimension by using three basic genetic operators, namely a selection operator, a cross operator and a mutation operator, thus accurately illustrating an effective region of the land utilization fractal dimension. According to the method disclosed by the invention, the problem that a land utilization fractal method gives no consideration to scale effect caused by data source, such as topography and remote-sensing images, is solved, therefore, the optimization of solving of a non-scale region of fractal dimension can be implemented, and the obvious advantages of accuracy and efficiency in identification of the non-scale region are formed.

Description

technical field [0001] The invention relates to a research on the most suitable action scale of a land use fractal model, in particular to a genetic method-based identification method applied to the action scale of fractal dimension of urban land use, which belongs to the technical field of land use. Background technique [0002] The scale of the fractal dimension of land use is a key factor in the study of fractal models of land use change, and it is also a prerequisite for realizing the fractal dimension to reflect the degree of urban land use, spatial distribution characteristics and internal evolution mechanism, because no matter in nature or human society, There is no fractal in the absolute mathematical sense, and fractal features only appear within a certain scale range. Only within this range, the fractal dimension can remain constant, and this is the scale-free interval, which is also the effective scale of the fractal dimension. [0003] In addition, the width of ...

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Problems solved by technology

However, in recent years, there are not many research results on the introduction of genetic algorithm into fractal scale-free interval calculation, although Fei Bin proposed a method based on genetic algorithm to intercept scale-free interval in 1998 and applied it Fractal research on truncated surfaces; in 2005, Fan Yuhong used genetic algorithm to obtain the optimal solution of the scale-free interval in the study of fractal terrain in simulated subsidence areas, but in the genetic algorithm research of the two, they did not use the roulette model Design fitness function

In addition, in the field of remote sensing land use fractals, the research on using genetic algorithms to obtain fractal scale-free intervals is still blank, and no results have been published.

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