Enhancement type sparse representation hyperspectral image classifying device and method based on space information constraint
A hyperspectral image, sparse representation technology, applied in the field of enhanced sparse representation hyperspectral image classification, can solve the problem of poor performance of hyperspectral image classification
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[0030] In order to make the object, technical solution and advantages of the present invention clearer, the following is a detailed description of an example of the solution of the present invention based on the MATLAB2013a software platform with reference to the accompanying drawings. Using a typical AVIRIS hyperspectral remote sensing image (size 145×145×220), the specific implementation steps of this scheme are as follows:
[0031] 1. The traditional sparse representation initial classification stage:
[0032] The original pixel signal x t Substitute into category dictionary A=[A 1 ,A 2 ,...,A C ] to carry out sparse reconstruction, and obtain the sparse reconstruction coefficient vector α i , by the least squares method according to the formula: Find the sparse representation coefficient vector. Among them, A Λi for x t The spectrum is the set of supporting atoms selected from the i-type dictionary, t∈T is the serial number of the signal to be measured, and T is t...
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