Method for detecting infrared small targets under cloud background based on temperate filtering and false alarm rejection

A small target detection and template technology, applied in image analysis, image enhancement, instruments, etc., can solve the problems of inability to apply video sequence processing, high false alarm rate, poor robustness, etc., to reduce detection false alarm rate, false alarm The effect of low rate and low complexity

Inactive Publication Date: 2016-05-11
NANJING UNIV OF SCI & TECH
View PDF2 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method has a high false alarm rate and poor robust

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
  • Method for detecting infrared small targets under cloud background based on temperate filtering and false alarm rejection
  • Method for detecting infrared small targets under cloud background based on temperate filtering and false alarm rejection
  • Method for detecting infrared small targets under cloud background based on temperate filtering and false alarm rejection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] to combine figure 1 , the infrared small target detection method based on template filtering and false alarm suppression under the cloud background of the present invention, for a single frame image, adopts the spatial domain operation of template filtering, firstly performs maximum median filtering on the image to remove significant noise to complete image preprocessing, and then Use Robinson template filtering to suppress the background and highlight the target, and then divide the original image into cloud areas. In the cloud area, the result after Robinson filtering is binarized with a low threshold, and the non-cloud area is processed with a high threshold. Finally, Use the principle of "neighborhood non-maximum value suppression" to further eliminate multiple "false target points" generated by the same target to complete the "rough detection"; for the adjacent frame images that have been processed in the spatial domain, continue Time-domain operation processing is...

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 diWscloses a method for detecting infrared small targets under a cloud background based on temperate filtering and false alarm rejection. The method comprises the following steps: firstly, obvious noises are removed from an image through maximum median filtering to complete image preprocessing; secondly, Robinson template filtering is used to suppress the background and highlight targets; thirdly, cloud partitioning of the original image is carried out, binarization processing of a result obtained after the Robinson template filtering is carried out through a low threshold in a cloud partition, and binarization processing of the result obtained after the Robinson template filtering is carried out through a high threshold in a non-cloud partition; finally, a plurality of ''false target points'' generated by a same target are further removed from the binarization results to complete ''coarse detection'', and time domain processing is continued for adjacent frame images that have gone through space domain processing to complete ''fine detection'', so that the detection of the infrared small targets is achieved. The method provided by the invention has the advantage that the constant false alarm rejection algorithm is added in interframe track correlation, so that the detection false alarm rate is greatly reduced.

Description

technical field [0001] The invention belongs to the technical field of infrared image detection and processing, in particular to an infrared small target detection method based on template filtering and false alarm suppression under a cloud background. Background technique [0002] Infrared small target detection is a core technology in infrared search and tracking systems, large field of view target detection systems, satellite remote sensing, disaster early warning, fire relief and other systems. Because the infrared sensor is affected by factors such as the atmosphere, sea surface radiation, working distance, and detector noise, the size of the long-distance target is small on the infrared image, and even appears as a point; in addition, the signal-to-noise ratio of the image is low, and the background Usually the situation is more complicated, and the target is easily overwhelmed by noise and background clutter, which makes the detection of small infrared targets more di...

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): G06T7/00G06T5/10G06T5/00
CPCG06T5/002G06T5/10G06T2207/10048
Inventor 万敏杰顾国华钱惟贤张晓敏田杰陈钱任侃隋修宝何伟基张闻文
Owner NANJING UNIV OF 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