| abstract |
The invention relates to a band selection method based on a chaotic binary gravitational search algorithm. The chaotic binary gravitational search algorithm is used to optimize and solve the band selection problem of a hyperspectral image, thereby quickly obtaining a better band subset in the hyperspectral image bands. It can be used in the relevant technical fields of image processing and pattern recognition. The invention can find a high-quality feasible solution to the band selection problem within an acceptable time cost, it does not need to manually specify the dimension of the band to be selected, and can intelligently achieve a good balance between the correct recognition rate and the dimension of the band , to find a better subset of bands. The invention uses the chaotic binary gravity search algorithm to select the bands of the original band data set of the hyperspectral image, eliminates the irrelevant or redundant bands, takes out the bands that have a greater impact on the correct rate of classification, and reduces the need for irrelevant or redundant bands The calculation time of classification is reduced, and the accuracy and efficiency of image classification are further improved. |