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

Infrared small target detection method for multi-scale spatio-temporal union filtering under complex background

A technology of small target detection and joint filtering, applied in image data processing, instrumentation, computing, etc., can solve the problem of low contrast between the target and the background, achieve robust target detection, suppress clutter and noise, and enhance potential target effect

Inactive Publication Date: 2015-05-27
NANCHANG HANGKONG UNIVERSITY
View PDF4 Cites 28 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The attenuation of the target intensity and the existence of high background intensity make the contrast between the target and the background very low

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
  • Infrared small target detection method for multi-scale spatio-temporal union filtering under complex background
  • Infrared small target detection method for multi-scale spatio-temporal union filtering under complex background
  • Infrared small target detection method for multi-scale spatio-temporal union filtering under complex background

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] In complex backgrounds, the long-distance infrared imaging process is affected by factors such as natural environment interference, imaging system performance, imaging distance, and target motion, which may cause blurring, noise, clutter, and drastic changes in grayscale in the acquired infrared images, resulting in The appearance of false targets or the missed detection of valid targets. This seriously hinders the process of intelligent information processing. The present invention conducts research on small target detection technology under complex backgrounds, starts from the technical route, solves various technical problems that plague small target detection, and promotes the development of small target detection technology. The infrared small target detection method of the present invention adopts the attached figure 1 The steps shown are implemented as follows:

[0026] Step S1. Construct a non-uniformity correction model of bilateral multi-scale time-domain hi...

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 infrared small target detection method for multi-scale spatio-temporal union filtering under a complex background. The method concretely comprises the following steps: 1, inhibiting a ghost effect, improving the image identification degree, establishing a multi-scale bilateral time-domain high-pass filtering nonuniformity correction model, and obtaining an infrared nonuniformity correction image; 2, enhancing the local contrast of a small target, establishing an image airspace complexity weighted-information entropy model by adopting the airspace complexity factors of the infrared nonuniformity correction image, and protruding the information entropy of a small target region; 3, improving the detection rate of the infrared small target, reducing the false alarm rate, establishing a multi-scale spatio-temporal union filtering model, and self-adaptively detecting small targets with different scales. The method is an infrared small target detection algorithm for multi-scale spatio-temporal union filtering under the complex background, and enriches the detection technology for the small targets with different scales.

Description

technical field [0001] The invention relates to an infrared detection method, in particular to an infrared small target detection method with multi-scale spatio-temporal joint filtering. Background technique [0002] Because the infrared sensor is affected by factors such as atmospheric thermal radiation, long working distance, and the noise of the detector itself, the detected targets often appear on the infrared image as small dot-shaped spots with low contrast and no specific shape and texture information, and are easily submerged in the infrared image. In the clutter and noise, this poses a huge challenge to the detection technology of small infrared targets. [0003] According to the number of image frames in the sequence of images, infrared small target detection technology is divided into two categories: single frame detection and multi-frame detection. The single-frame image target detection technology mainly relies on the gray level difference between the small tar...

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
IPC IPC(8): G06T5/00
Inventor 王忠华陈银军涂颖廖远刘清平王超黄发亮
Owner NANCHANG HANGKONG UNIVERSITY
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