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An Efficient Fusion Recognition Method Based on Source Adaptive Dynamic Selection

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: 2020-06-30
NORTHWESTERN POLYTECHNICAL UNIV
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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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  • An Efficient Fusion Recognition Method Based on Source Adaptive Dynamic Selection
  • An Efficient Fusion Recognition Method Based on Source Adaptive Dynamic Selection
  • An Efficient Fusion Recognition Method Based on Source Adaptive Dynamic Selection

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Embodiment Construction

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

[0042] The invention discloses a method for adaptively and dynamically selecting source information for efficient fusion recognition, combining 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, divide its attributes into N attributes according to the same rules set, ie {a 1 ,a 2 ,...,a N}, where N is an integer greater than 0, a N Indicates the Nth attribute set.

[0044] Step 2: Perform cross-validation on the training sample set through each attribute set, and obtain the attribute set with the highest classification accuracy of the training sample set.

[0045] Step 3: classify the observation target ac...

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Abstract

The invention discloses a method for adaptively and dynamically selecting source information for efficient fusion recognition, collecting data for a training sample set, performing preprocessing and feature extraction, and dividing the attributes of the training samples into N attribute sets; The attribute set with the highest classification accuracy of the sample set; classify the target, and judge whether the reliability of the classification result meets the threshold requirement: when it is satisfied, the target is identified; when it is not satisfied, a new classification result is obtained, and all The classification results are optimized and fused, and the fused classification results are obtained until the reliability of the classification results meets the threshold requirements or all attribute sets are used up. When all attribute sets are used up, the final classification is used. The result is target recognition for the target. The invention solves the problems of too much cost, poor robustness and non-local optimum in the optimization process in the information source acquisition process.

Description

【Technical field】 [0001] The invention belongs to the technical field of target recognition, and in particular 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 and important foundation for national strategic defense and deterrence. Target recognition technology is an important technical support means for radar intelligence and informatization. In modern warfare, target recognition technology has broad application prospects in military fields such as early warning detection, precision guidance, battlefield command and reconnaissance, and i...

Claims

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Application Information

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Patent Type & Authority Patents(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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