Unknown target identification method based on attribute weight fusion

A target recognition and attribute technology, applied in the field of target recognition, can solve problems such as battlefield decision errors, and achieve the effects of improving accuracy, convenient implementation and use, and reasonable design.

Active Publication Date: 2020-08-21
NORTHWESTERN POLYTECHNICAL UNIV
View PDF8 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to factors such as technological development and enemy secrecy, new types of targets may appear in war at any time, and it is easy to identify new types of targets as known target types, resulting in wrong decision-making on the battlefield

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Unknown target identification method based on attribute weight fusion
  • Unknown target identification method based on attribute weight fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The method of the present invention will be further described in detail below in conjunction with the accompanying drawings and the embodiments of the present invention.

[0031] It should be noted that, in the case of no conflict, the embodiments in the present application and the attributes in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0032] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an unknown target identification method based on attribute weight fusion. The method comprises the following steps: 1, generating a Gaussian distribution training model according to a target sample data set; 2, expanding a test sample t detected by the sensor into a Gaussian test model; 3, calculating the matching degree of the Gaussian test model and the Gaussian distribution training model, and generating evidences on all attributes; 4, performing weighted fusion on evidences on each attribute; and 5, determining the target type of the test sample according to the fusion result in the step 4. According to the method, on the basis of a Gaussian distribution model, in combination with the advantages of processing uncertain information and incompleteness of an identification framework of a generalized evidence theory, an area segmentation method is adopted to assign weights to attributes during attribute evidence fusion; besides, the improved generalized evidencecombination rule can process uncertain information more flexibly and effectively, errors are smaller, and the accuracy of target recognition and recognition of targets of unknown types are improved.

Description

technical field [0001] The invention belongs to the field of target recognition, in particular to an unknown target recognition method based on attribute weight fusion. Background technique [0002] Battlefield situation assessment is greatly related to the victory of the war and is crucial to battlefield decision-making. Target recognition is the premise and key of situation assessment. However, the objects of battlefield target recognition are often the targets that intrude into and invade our territory, territorial waters, and volleys by mistake, including non-cooperative targets and hostile targets. In order to identify battlefield targets, researchers need to establish a type template library for all possible target types, so as to match the detected targets with the targets in the template library to identify detection targets. However, due to factors such as technological development and enemy secrecy, new types of targets may appear in war at any time, and it is eas...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/24G06F18/214
Inventor 邓鑫洋张瑜蒋雯常悦
Owner NORTHWESTERN POLYTECHNICAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap