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Method for selecting features of artificial immunity in remote sensing images

A feature selection method and remote sensing image technology, applied in the fields of instrument, calculation, character and pattern recognition, etc., can solve the problem of no artificial immune feature selection method, etc., to avoid uncertain factors, high execution efficiency, convenient encoding and decoding. Effect

Inactive Publication Date: 2006-12-06
WUHAN UNIV
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AI Technical Summary

Problems solved by technology

However, in the feature selection of remote sensing images, AIS has not been well applied, so there is no real artificial immune feature selection method.

Method used

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  • Method for selecting features of artificial immunity in remote sensing images
  • Method for selecting features of artificial immunity in remote sensing images
  • Method for selecting features of artificial immunity in remote sensing images

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Embodiment Construction

[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 explain...

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Abstract

The invention discloses a method of selecting remote sensing video by manual immunity characteristic, its characteristic lies in: (1) opening the remote sensing image; (2) choosing the type area and input parameter; (3) coding and marking characteristic combination, producing the initial immunity unit; (4) decoding and obtaining the sample subset, and calculating saturation; (5) choosing certain immunity from the immunity aggregate to produce immunity aggregate, and recording highest saturation immunity as most matching immunity; (6)judging whether satisfies termination condition, if yes, making most matching immunity to take the optimal solution arithmetic;(7)if not, cloning immunity aggregate;(8) obtaining the variation immune aggregate; (9)calculating the variation immune aggregate saturation;(10) if the candidate immune body kisses with is bigger than most matches the immune aggregate saturation, stores the immunity as candidate immunity aggregate; (11) returning to the step (5), continuing to evolve the immunity aggregate until satisfying the characteristic and choice termination condition.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, in particular to an artificial immune feature selection method. Background technique [0002] For remote sensing images, especially multi / hyperspectral remote sensing images, due to the Hughes phenomenon, feature selection or feature extraction is a necessary task. Feature selection refers to selecting a limited number of features for remote sensing classification from many features through the evaluation of data. The task of feature selection is to select a set of optimal features with a quantity of y (Y>y) from a set of features with a quantity of Y. For this purpose, there are two problems to be solved. One is the selection standard, that is, to select Make a feature group with maximum separability. Another problem is to find a better algorithm to find the optimal set of features within the allowed time, that is, feature selection. The solution to the former probl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46
Inventor 钟燕飞张良培
Owner WUHAN UNIV
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