Wave band selection method for hyperspectral remote-sensing image
A hyperspectral remote sensing and band selection technology, which is applied in the field of hyperspectral remote sensing image band selection, can solve problems such as unsatisfactory classification results and local optimal algorithms, and achieve the effects of reducing the number of bands, improving classification accuracy, and improving clustering quality
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[0036] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:
[0037]The inventive idea of the present invention is to improve the clustering method of remote sensing image data and the method of removing redundant bands on the basis of the hyperspectral remote sensing image band selection method based on time series important point analysis. First, use the visual evaluation method to estimate the number of clustering categories, and intuitively estimate the approximate range of clustering numbers from the image; then use the spectral clustering algorithm to cluster according to the estimated number of categories; use time series important point analysis to carry out Band selection; finally combine the conditional mutual information of adjacent bands and use the branch and bound method to propose redundant bands to determine the best band combination. The method of the present invention will be further described ...
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