Not supervised classification process of artificial immunity in remote sensing images
A technology of unsupervised classification and artificial immunity, applied in the field of unsupervised classification of remote sensing images based on artificial immune system, can solve the problem that AIS has not been applied, and achieve the effect of reducing unsupervised classification time, high execution efficiency, and speeding up convergence speed.
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[0032] In order to facilitate understanding of the present invention, at first the theoretical basis of the present invention is provided:
[0033]One of the important functions of the human immune system is to remove foreign objects by producing antibodies. Foreign objects can be microorganisms (bacteria, viruses, etc.), abnormal blood cells, transplanted organs, etc., which are called antigens. The basic building blocks of the immune system are lymphocytes, or white blood cells. These special cells can be mainly divided into two categories: B cells and T cells. Both types of cells have their own unique ecology and produce many Y-shaped antibodies from their surfaces to kill antigens.
[0034] In order to explain the formation mechanism of antibodies, some scholars first proposed the template theory, and later put forward the side chain theory, but none of them can reasonably explain the formation mechanism of antibodies. The mechanism of antibody formation was not explaine...
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