Small infrared aerial target detection method based on non-downsampling contourlet transformation

Abstract

The invention provides a small infrared aerial target detection method based on non-downsampling contourlet transformation. The method includes the following steps of 1, non-downsampling contourlet transformation, wherein non-downsampling contourlet transformation first-level decomposition is performed on a small infrared target image, and a band pass sub-band is discomposed into four-direction high-frequency sub-bands; 2, background suppression, wherein low-frequency influences are removed, and thresholding processing is performed on a high-frequency portion; 3, coefficient mapping, wherein coefficients left by the four-direction high-frequency sub-bands are mapped to a gray level space in a linear mode; 4, high-frequency image segmentation, wherein four-direction high-frequency sub-band images are segmented into binaryzation images; 5, binary high-frequency image noise reduction, wherein small bright noise points in the binary high-frequency images are eliminated; 6, detection of related small targets in dimension, wherein the four-direction high-frequency sub-band images get along with each other to obtain a small target single-frame detection result; 7, small target sequence detection, wherein comprehensive vote is performed on multi-frame images to intercept and capture small targets. According to the method, the problem of small aerial target detection under the complicated infrared background is solved.

Description

technical field [0001] The invention relates to an infrared small target detection technology, in particular to an air small target detection method under complex infrared background conditions. Background technique [0002] For practical application systems, how to give full play to the advantages of infrared target detection technology and strive to obtain relevant information of incoming targets at the most powerful time has become an important factor in determining the outcome of modern warfare. Therefore, increasing the detection distance of the target as much as possible has become a problem of great concern to researchers from all over the world. The farther the distance is, the smaller the imaging area of ​​the target on the detection device is, and the possibility of the target being affected by clutter and background increases, so the detection difficulty will also increase. In the stage of long-distance tracking, the image formed by the target in the imaging syst...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method for detecting small targets in infrared air based on non-subsampling contourlet transform, which overcomes the influence of complex infrared background and noise, and solves the problem of small target detection in infrared air under complex background conditions.

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