Multi-spectral remote sensing image terrain classification method
A technology for classification of remote sensing images and features, which is applied in the field of classification of multispectral remote sensing images and features, which can solve the problems of different gray values, easy aliasing of spectral integration bands, and high redundancy
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[0058] For those selected from Guangdong Dahengqin Island (to the east of Macao Island, west to Modaomen, south to Sandiequan Scenic Area, north to Baosheng Road) and Beijing Summer Palace (east to Century City, west to Beijing Botanical Garden, south to Xingshikou Road, north to the Summer Palace) image data, to classify large-scale multi-spectral remote sensing images with high-order uncertainties, the specific implementation methods are as follows:
[0059] 1) Determine the number of categories c, the fuzzy index m, the maximum number of iterations T, the threshold ε according to the requirements, initialize the number of iterations t=1, and initialize the objective function J 0 =0; set the multispectral remote sensing image data to be tested as a data set to be tested with n sample points and p features X={x 1 ,x 2 ,...,x n}(x i ={x i1 ,x i2 ,...,x ip}, i=1,2,...,n); U={u 1 , u 2 ,...,u c}(u i ={u i1 , u i2 ,...,u in}, i=1,2,...,c) defines the test data set X ...
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