Hyperspectral Image Unmixing Method Based on Differential Search
A hyperspectral image and differential technology, which is applied in the field of hyperspectral remote sensing and can solve problems such as hyperspectral image unmixing
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[0043] Below in conjunction with accompanying drawing, the present invention is described further.
[0044] The present invention uses mutual information as a measure of independence, and its calculation method is
[0045]
[0046] Among them, the value range of I(Y) is [0, ∞), and when it is 0, it means that the variables are independent of each other.
[0047] The abundance constraint item is non-negative according to the proportion of each end member in the pixel. Based on this, in the linear mixed model, the objective function defining the abundance non-negative constraint is
[0048]
[0049] Wherein, n is a positive integer, taking n=1; Indicates all negative elements in the abundance estimation matrix y. When all elements in y are non-negative, then f ANC (Y)=0. So by minimizing f ANC (Y), to achieve the abundance non-negative property.
[0050] In a hyperspectral image, the sum of the abundance values of each endmember at each pixel must be one. Based ...
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