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Information source adaptive dynamic selection-based efficient fusion identification method

A fusion recognition and adaptive technology, applied in the field of target recognition, can solve problems such as poor robustness, high cost, optimization of non-local optimum, etc., to achieve the effects of avoiding limitations, saving costs, and reducing quantities

Active Publication Date: 2017-10-20
NORTHWESTERN POLYTECHNICAL UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a high-efficiency fusion recognition method based on adaptive dynamic selection of information sources to solve the problems of high cost, poor robustness, and non-local optimum in the optimization process in the information source acquisition process

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  • Information source adaptive dynamic selection-based efficient fusion identification method
  • Information source adaptive dynamic selection-based efficient fusion identification method
  • Information source adaptive dynamic selection-based efficient fusion identification method

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Embodiment Construction

[0041] The present invention will be described in detail below with reference to the drawings and specific embodiments.

[0042] The invention discloses a method for self-adaptive and dynamic selection of source information for efficient fusion identification, which combines figure 1 , figure 2 As shown, it specifically includes the following steps:

[0043] Step 1. Collect data from the training sample set through multiple sensors, and perform preprocessing and feature extraction on the collected data. For each training sample in the training sample set, its attributes are divided into N attributes according to the same rules Set, namely {a 1 ,a 2 ,...,A N }, where N is an integer greater than 0, a N Represents the Nth attribute set.

[0044] Step 2: Cross-validate the training sample set through each attribute set, and obtain the attribute set that makes the classification accuracy of the training sample set the highest.

[0045] Step 3: Classify the observation target according t...

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Abstract

The invention discloses an information source adaptive dynamic selection-based efficient fusion identification method. The method comprises the steps of collecting data for a training sample set, performing preprocessing and feature extraction, and dividing attributes of training samples into N attribute sets; obtaining the attribute set for enabling the classification accuracy of the training sample set to be highest; and classifying targets and judging whether the reliability of classification results meets a threshold requirement or not: when the requirement is met, performing target identification on the targets; and when the requirement is not met, obtaining new classification results, performing optimization fusion on all the classification results to obtain a fused classification result, until the reliability of the classification results meets the threshold requirement or all the attribute sets are used up, and when all the attribute sets are used up, performing target identification on the targets by using the finally obtained classification result. The problems of excessively high cost, poor robustness and non local optimum of an optimization process in an information source obtaining process are solved.

Description

【Technical Field】 [0001] The invention belongs to the technical field of target recognition, and specifically relates to an efficient fusion recognition method based on adaptive dynamic selection of information sources. 【Background technique】 [0002] With the rapid development of modern science and technology and its increasingly widespread application in the military field, fundamental changes have taken place in traditional combat thinking and combat methods. Strategic early warning has become an important guarantee for national security and strategic military operations, and an indispensable foundation for national strategic defense and deterrence. Target recognition technology is an important technical support method for radar intelligence and informatization. In modern warfare, target recognition technology has broad application prospects in military fields such as early warning and detection, precision guidance, battlefield command and reconnaissance, and identification o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/22G06F18/251G06F18/214
Inventor 刘准钆刘永超周平潘泉
Owner NORTHWESTERN POLYTECHNICAL UNIV
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