Aerial target identification method based on radar infrared fusion features

A technology for fusing features and air targets, applied in the field of information fusion, can solve problems affecting the detection accuracy and efficiency of air target recognition, short detection distance, and susceptibility to electronic interference, etc., achieve good target recognition effects, reduce feature dimensions, and improve The effect of discrimination

Pending Publication Date: 2022-07-19
XIDIAN UNIV
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the prior art, the millimeter-wave radar seeker is usually used for air target recognition. Although the millimeter-wave radar seeker has the advantages of long detection distance and all-weather work, it is vulnerable to electronic interference and electronic deception, which affects the airborne targets. The detection accuracy and detection efficiency of target recognition; in addition, the infrared thermal imaging seeker is also used in the prior art for aerial target recognition. Although the infrared thermal imaging seeker has the advantages of high detection accuracy and strong anti-interference ability, the detection Close range, which limits target recognition range

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
  • Aerial target identification method based on radar infrared fusion features
  • Aerial target identification method based on radar infrared fusion features
  • Aerial target identification method based on radar infrared fusion features

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0030] See figure 1 , figure 1 This is a schematic flowchart of an air target recognition method based on radar infrared fusion features provided by an embodiment of the present invention.

[0031] The technical idea to achieve the purpose of the present invention is as follows: 1) In the offline training stage, the features of the target training samples of the radar and the infrared detector are extracted respectively, and the separability of each feature is analyzed by using the simulation data, so as to perform effective feature selection. On this basis, the feature-level fusion algorithm is used to fuse the radar and infrared features to obtain the fused feature vector of the training samples. Then use the Support Vector Data Description (SVDD, Support Vector Data Description) model as the target discriminator model, this model can effectively distinguish the target in the library and the target outside the library, use the model for training, and generate the target of ...

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 aerial target identification method based on radar infrared fusion features, comprising: acquiring a first feature set corresponding to a to-be-trained target, the first feature set comprising a first radar feature set and a first infrared feature set; determining a preset discriminator model based on the first feature set; a second feature set corresponding to the to-be-recognized target is acquired, and the second feature set comprises a second radar feature set and a second infrared feature set; and analyzing the second feature set through the preset discriminator model to determine the category of the to-be-recognized target so as to realize target recognition. Wherein the category comprises an in-library target and an out-library target. According to the invention, the air target identification accuracy and efficiency can be improved.

Description

technical field [0001] The invention belongs to the technical field of information fusion, in particular to an aerial target recognition method based on radar infrared fusion features. Background technique [0002] The multi-mode composite homing guidance technology has become a mainstream research direction of precision-guided weapons. [0003] In the prior art, the millimeter-wave radar seeker is usually used for air target recognition. Although the millimeter-wave radar seeker has the advantages of long detection range and all-weather operation, it is vulnerable to electronic interference and electronic spoofing, which affects the aerial target. The detection accuracy and detection efficiency of target recognition; in addition, the infrared thermal imaging seeker is also used for aerial target recognition in the prior art. Although the infrared thermal imaging seeker has the advantages of high detection accuracy and strong anti-interference ability, the detection The dis...

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): G06V20/00G06V10/22G06V10/764G06V10/771G06V10/774G06V10/80G06K9/62
CPCG06F18/2113G06F18/24G06F18/253G06F18/214
Inventor 谢荣黄超刘峥刘莎莎冉磊
Owner XIDIAN 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