Check patentability & draft patents in minutes with Patsnap Eureka AI!

A False Alarm Suppression Method for Small Infrared Target Detection in Complex Background

A technology for weak and small targets with complex backgrounds, which is applied in the field of infrared weak and small target detection false alarm suppression, can solve the problems of low computational complexity, high false alarm rate of infrared weak and small target detection, poor robustness, etc. The effect of reducing the rate and the effect is obvious

Active Publication Date: 2021-06-25
NANJING LES ELECTRONICS EQUIP CO LTD
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies of the existing technology, the present invention proposes a false alarm detection method for infrared weak and small targets under complex backgrounds in order to solve the problems of high false alarm rate and poor robustness in the existing photoelectric search system. Suppression method, which has low computational complexity and is easy to implement in 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
  • A False Alarm Suppression Method for Small Infrared Target Detection in Complex Background
  • A False Alarm Suppression Method for Small Infrared Target Detection in Complex Background
  • A False Alarm Suppression Method for Small Infrared Target Detection in Complex Background

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0071] combine figure 1 As shown, according to an embodiment of the present invention, a false alarm suppression method for infrared weak and small target detection under a complex background includes the following steps:

[0072] Step 1: For the original infrared image f(x, y), use the correlation neighborhood filtering method to perform background suppression to obtain the background suppressed image B(x, y).

[0073] The correlation neighborhood filtering method is:

[0074]

[0075] Among them, the parameter z1 ,z 2 ,z 3 ,z 4 Calculated as follows:

[0076] z 1 = mid[f(x-N:x+N,y)]

[0077] z 2 = mid[f(x,y-N:y+N)]

[0078] z 3 =mid[diag(f(x+N:x-N,y-N:y+N),1)]

[0079] z 4 =mid[diag(f(x+N:x-N,y-N:y+N),2)]

[0080] Among them, x and y are the horizontal coordinates and vertical coordinates of the pixel respectively, max is the operation of taking the maximum value of the vector, min is the operation of taking the minimum value of the vector, mid is the operatio...

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 provides a method for suppressing false alarms of small and weak infrared targets under complex backgrounds, which mainly solves the problems of high detection false alarm rate and low detection robustness in existing weak and small target detection technologies. The method includes the following steps: 1) Firstly, image preprocessing is performed on the original infrared image to obtain a background-suppressed image; 2) The target point trace is remapped according to the vector position information of the candidate target point trace, and the candidate target point is generated by using a limited neighborhood maximum search method 3) Calculate the relevant diamond-shaped neighborhood, circular neighborhood feature parameters and neighborhood signal-to-noise ratio parameters of candidate target trace windows respectively; 4) Neighborhood feature parameters and neighborhood feature parameters of all candidate target trace windows The signal-to-noise ratio parameter is used for adaptive threshold judgment to realize the extraction of weak and small target traces after false alarm suppression. The invention can be used in the fields of target search, remote monitoring, reconnaissance and alarm, etc., and has excellent detection performance of small and weak infrared targets.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to a method for suppressing false alarms of small and weak infrared targets under complex backgrounds. Background technique [0002] Infrared weak and small target detection is an important technology in the long-range photoelectric search system, because the infrared sensor is easily affected by the external environment, weather, sensor noise, etc. during the imaging process, and when the infrared image is acquired at a long distance, the background is relatively complicated, especially In scenarios such as cloud and rain clutter, ground clutter, etc., how to effectively try to detect real infrared weak targets becomes the key to long-range photoelectric systems. The characteristic performance of infrared weak and small targets is that the pixel size is less than 3×3, the texture feature information is missing, and the image signal-to-noise ratio is low. The small ...

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 Patents(China)
IPC IPC(8): G06K9/00
CPCG06V20/13G06V2201/07
Inventor 朱伟翟尚礼赵春光杜瀚宇白俊奇苗锋
Owner NANJING LES ELECTRONICS EQUIP CO LTD
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More