High-spectral image demixing method based on end member cluster
A technology of endmembers and images, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve problems such as unmixing errors, achieve the effects of improving unmixing accuracy, strong adaptability, and wide application environment
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[0043] The application method of the present invention will be further described below in conjunction with examples.
[0044] In this example, the hyperspectral image data captured by the interferometric imaging spectrometer carried by the Chang'e-1 satellite successfully launched by my country on October 24, 2007 is used for unmixing processing. The size of the hyperspectral data processed this time is 300×128, the wavelength range is 480-960nm, and it contains 32 bands, 20 of which are selected for calculation, and the spatial resolution is 200m / pixel.
[0045] (1) Sparse representation based on global image
[0046] Construct an over-complete dictionary with a size of 38400×20, and perform sparse representation for each pixel. In this example, the sparsity of the sparse representation is set to 3, and the number of candidate endmembers is set to 15.
[0047] (2) Alternative endmember screening based on voting
[0048] For each pixel and its obtained sparse coefficient, v...
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