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

Warning radar PPI image target/interference area self-adaptive extraction method

A technology of interference area and warning radar, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of lack of methods and tools to automatically realize image processing, so as to improve processing efficiency, reduce analysis deviation, and improve the degree of automation Effect

Active Publication Date: 2021-01-01
UNIT 63892 OF PLA
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, there is a lack of methods and tools for automatic image processing for the extraction of interference areas in PPI images of warning radars

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
  • Warning radar PPI image target/interference area self-adaptive extraction method
  • Warning radar PPI image target/interference area self-adaptive extraction method
  • Warning radar PPI image target/interference area self-adaptive extraction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] Below in conjunction with accompanying drawing this patent is further explained and illustrated. But the scope of protection of this patent is not limited to the specific implementation.

[0043] like figure 1 , 2 As shown, an adaptive extraction method of target / interference area in a warning radar PPI image. For an image with only targets and no interference, the visual saliency method is used for adaptive extraction of the target area. For the case of interference, the color transformation based The self-adaptive extraction method of this paper attempts to automatically extract the target and interference area in the warning radar PPI image, and at the same time suppress the background information in the PPI image, so as to provide data support for the classification of interference; the steps are as follows:

[0044] 1) Adaptive extraction of target area based on visual saliency method

[0045] Visual salience is mainly characterized by the application of pixel b...

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 belongs to the technical field of interference detection and effect evaluation, and discloses a warning radar PPI image target / interference region self-adaptive extraction method, whichis used for performing target region self-adaptive extraction on an image only with a target without interference by applying a visual saliency method. For a target region in case of interference, theself-adaptive extraction method based on color transformation is adopted to attempt to realize the automatic extraction of a target and an interference area in a warning radar PPI image. Meanwhile, the suppressing background information in the PPI image at the same time, thereby providing data support for interference classification. According to the invention, the automation degree of PPI imageanalysis of the alert radar can be improved, on one hand, the processing efficiency can be improved, and on the other hand, the analysis deviation caused by human factors can be reduced. The method has the advantages of firstly, a target area self-adaptive extraction step based on a visual saliency method; and secondly, a target and interference region self-adaptive extraction step based on colortransformation.

Description

technical field [0001] The invention belongs to the technical field of interference detection and effect evaluation, in particular to a method for adaptively extracting a warning radar PPI image target / interference area. Background technique [0002] Warning radars are usually deployed at the frontiers of frontier defense / coastal defense or important military locations, and perform tasks such as searching and tracking air targets and sea targets in a certain area around the deployment site, so as to realize early warning and detection of threatening targets. Usually the search results of the warning radar will be presented on the Plan Position Indicator, PPI. On the PPI, the radar antenna is located in the center of the display area, and the radar echo processing results are displayed in polar coordinates, indicating the distribution of various echoes: target, interference, clutter, etc. in distance and azimuth. The map of the terrain where the radar is located is embedded ...

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): G06T7/11G06T7/136G06T7/90G06T5/40
CPCG06T7/11G06T7/136G06T7/90G06T5/40G06T2207/10044G06T2207/10024Y02A90/10
Inventor 李廷鹏王满喜赵宏宇杨晓帆郝晓军李永成刘国柱汪连栋申绪涧曾勇虎汪亚
Owner UNIT 63892 OF PLA
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