Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Evidence-synthesis-based information-fusion target recognition method

A target recognition and evidence technology, applied in the field of information fusion target recognition based on evidence synthesis, can solve the problems of too ideal application scenarios, inaccurate synthesis results, and low decision-making credibility, and achieve good self-learning and nonlinear mapping capabilities , help decision-making and judgment, and ensure the effect of accuracy

Inactive Publication Date: 2018-01-23
XIDIAN UNIV +1
View PDF3 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the current target recognition method has inaccurate synthetic results, high subjectivity, low credibility of decision-making, and the application scenarios are too idealized to be suitable for practical engineering.

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
  • Evidence-synthesis-based information-fusion target recognition method
  • Evidence-synthesis-based information-fusion target recognition method
  • Evidence-synthesis-based information-fusion target recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0057] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0058] Such as figure 1 As shown, the embodiment of the present invention provides a method for identifying an information fusion target based on evidence synthesis comprising the following steps:

[0059] S101: Using multiple sets of sensors to collect attribute information of the target to be identified, and extract characteristic attributes from the collected attribute information;

[0060] S102: The data with characteristic attributes is divided into training data and test data, ...

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, which belongs to the technical field of multi-sensor information fusion, discloses an evidence-synthesis-based information-fusion target recognition method. A plurality of sensors are used for carrying out attribute information collection on a to-be-identified target and a feature attribute is extracted from the collected attribute information; data having the feature attribute aredivided into training data and testing data, wherein the training data are used for constructing a neural network model and the testing data are used for obtaining a basic probability assignment value; and then evidences are synthesized based on an improved evidence synthesis method and the synthesized result is used as the target recognition basis. According to the invention, the basic probability assignment values of evidences are obtained accurately and a synthesis problem of high-conflict evidences is solved. The basic probability assignment values of evidences are obtained by using the neural network and the neural network has the high nonlinear mapping capability and is capable of mapping the intrinsic relationship between the target feature data, so that the accuracy of the basic probability assignment values is ensured, the conformance to the real scene is realized, and the practical significance is good.

Description

technical field [0001] The invention belongs to the technical field of multi-sensor information fusion, and in particular relates to an information fusion target recognition method based on evidence synthesis. Background technique [0002] Multi-sensor Information Fusion (MIF), also known as information fusion, is an automatic information comprehensive processing technology formed and developed in the 1980s. With the development of science and technology such as communication technology, electronic technology, and computer technology, the forms of information are complex and diverse, the content of information is all-encompassing, and the amount of information is unprecedentedly vast. The information obtained by a single sensor is always incomplete, reflecting the information of a certain aspect of the target to be measured, and cannot grasp the overall content. Target recognition is one of the main application fields of multi-sensor information fusion technology. In the p...

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): G06K9/62G06N3/04G06N3/08
Inventor 杨清海张志
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com