Scale Transformation Method of Land Use Spatial Features Based on Fractal Dimension
A technology of fractal dimension and scale conversion, applied in special data processing applications, electrical digital data processing, instruments, etc., can solve the loss of land use information, the lack of nonlinear and non-uniform expression of land use spatial scale, and the inability to effectively describe Remote sensing image information similarity and other issues to achieve the effect of improving accuracy and reducing information loss
Inactive Publication Date: 2016-03-09
WUHAN UNIV OF TECH
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[0006] The technical problem to be solved by the present invention is to provide a land use spatial characteristic scale conversion method based on fractal dimension, so as to solve the problem that the traditional scale conversion model cannot accurately describe the non-linearity and non-uniformity of the land use spatial scale. The shape and characteristics of urban land use cannot effectively describe the similarity of remote sensing image information at different resolutions, resulting in the loss of land use information in the process of scale conversion
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[0103] 1. In order to study the spatial scale characteristics of remote sensing information, the present invention selects the remote sensing images of Wuhan City with four different spatial resolutions of QuickBird, SPOT, China-Pakistan Satellite (CB) and ETM+ as the basic data of the case study. The spatial resolutions are respectively 2.4m, 10m, 20m and 30m.
[0104] 2. Extract the corresponding four roads (linear elements) and four independent map spots (area elements) from the remote sensing images of four different scales, and take them as the research objects ( figure 2 ).
[0105] 3. Calculate the length of the four roads and the perimeter and area of the four patches in the ArcGIS software, and use the Excel table for statistics (Table 1, Table 2, Table 3). Among them, Table 1 is the length table of each linear feature element, unit: meter; Table 2 is the perimeter table of each planar feature element, unit: meter; Table 3 is the area table of each planar feature ...
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The present invention is a land use spatial feature scale conversion method based on the fractal dimension, that is: first construct a land use linear and planar feature element spatial scale conversion model; then extract land use features to be studied from remote sensing images of different sampling scales and calculate the basic information such as its length and area; then calculate the fractal dimension value of the element through linear regression fitting; then use the land use spatial characteristic scale transformation model to simulate and calculate the characteristic value of the characteristic element at different scales , and compared with the actual value to verify the accuracy and reliability of the model. The present invention can effectively solve the problem of insufficient expression of the non-linearity and non-uniformity of the land use spatial scale by the traditional scale conversion model, make up for the defect that it fails to make full use of the similarity of remote sensing images with different resolutions, thereby improving the land use spatial characteristic scale At the same time, it can effectively evaluate the loss of information or scale effect after scale conversion.
Description
technical field [0001] The invention relates to the scale conversion of land use space features, and belongs to the technical field of land use, in particular to a fractal dimension-based land use space feature scale conversion method. Background technique [0002] With the development of remote sensing application technology, the spatial scale of remote sensing information has become an important content in geoscience research, and remote sensing and geographic information have also become powerful tools for geoscience spatial scale research. The purpose of scale research is to reveal and grasp the distribution and change laws of complex things through appropriate space and time scales. Due to the spatial heterogeneity and nonlinear characteristics of nature and human society, research on them often needs to be carried out on multi-level scales, and information conversion between different scales is required. Therefore, it is very necessary to choose a scientific and effec...
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IPC IPC(8): G06F17/50
Inventor 吴浩孙钰蓉程志萍徐晨晨宋冰
Owner WUHAN UNIV OF TECH