Non-coherent radar image background modeling method based on normal distribution function

A normal distribution function and non-coherent radar technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve problems such as strong noise interference, complex background environment, and large echo fluctuations of background objects, so as to improve detection Ability, the effect of reducing the number of false alarms

Active Publication Date: 2015-01-07
CHINA ACAD OF CIVIL AVIATION SCI & TECH
View PDF2 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the area monitored by the system is low-altitude airspace, the background environment is complex, the noise interference is strong, and the echo of background objects has large fluctuations and has certain random characteristics.

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
  • Non-coherent radar image background modeling method based on normal distribution function
  • Non-coherent radar image background modeling method based on normal distribution function
  • Non-coherent radar image background modeling method based on normal distribution function

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The background model modeling method proposed by the present invention is illustrated and described below in conjunction with the processing results of a non-coherent radar image sequence in the accompanying drawings.

[0023] The non-coherent radar background contains a large number of stationary objects, most of which are non-rigid targets, such as woods, grassland, water surface, etc. The echo intensity fluctuates greatly, and the clutter interference at the edge of the background is strong, which makes it difficult to detect low-altitude small targets. According to the time-domain probability distribution characteristics of background pixel gray value, the method of the present invention divides the background pixels into three types of areas, such as the air space, the interior of the fixed target and the edge of the fixed target, such as figure 1 shown. The non-coherent radar image background modeling method based on normal distribution function of the present inv...

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 a non-coherent radar image background modeling method based on a normal distribution function. The method is used for radar image processing and target detecting. According to the method, a time domain background pixel sample set is built by utilizing the grey levels of pixels in a non-coherent radar image background image sequence, the probability distribution features of the grey levels of the background pixels are described with the normal distribution function, and the background pixel area is distinguished to be an airspace area, a fixing target interior area and a fixing target edge area according to the mean value and the variance. In a background model, the pixels of the airspace area are calibrated to be zero, the pixels of the fixing target interior area are one, and the pixels of the fixing target edge area are the decimals between zero and one. The background model is built based on the time domain probability distribution features of the grey levels of the pixels in non-coherent radar images and is the important foundation of low-altitude airspace radar target detection, the detection capacity for targets in the airspace area in the non-coherent radar images can be improved effectively, and meanwhile the frequency of false alarms in the fixing target edge area is reduced.

Description

technical field [0001] The invention relates to a non-coherent radar image background modeling method based on a normal distribution function, belongs to the technical field of low-altitude airspace security monitoring, and relates to radar image processing and target detection. Background technique [0002] Primary non-coherent radar has the characteristics of low cost, convenient installation, and strong independent workability, and is an important means of airspace security surveillance. Non-coherent radar itself does not have the function of moving target detection. A mature radar surveillance system usually uses an image acquisition card to transmit the radar plane position indication image to the computer, and then it is processed by the back-end image-based target detection algorithm to extract dispatch target information. Background modeling technology is the basis of moving target detection. However, since the area monitored by the system is low-altitude airspace,...

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): G06T7/00
CPCG06T7/251G06T2207/10044G06T2207/20076
Inventor 陈唯实李敬
Owner CHINA ACAD OF CIVIL AVIATION SCI & TECH
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