Remote sensing hyperspectral image band selection method based on conditional mutual information
A technology of conditional mutual information and hyperspectral images, applied in the field of remote sensing hyperspectral image band selection, can solve the problems of classification information loss, uneven distribution of bands, and inability to make full use of spectral information of hyperspectral images
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[0058] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:
[0059] as attached figure 1 As shown, this embodiment proceeds in sequence according to the following steps:
[0060] A. Open the hyperspectral remote sensing image, and mark the samples to be classified by human-computer interaction;
[0061] B. Grouping: According to the samples to be classified obtained in step A, all the bands of the image are divided into several groups through the conditional mutual information between each adjacent band under the given category condition; specifically include the following steps:
[0062] B1. Use the following method to calculate the conditional mutual information between adjacent bands under given category conditions:
[0063] The conditional mutual information calculation method between two adjacent bands Bi and Bi+1 is as follows:
[0064] I ( C ; ...
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