A centre-scale sorting local contrast method for infrared small target detection

Zuoxun Hou; Zijian Liu; Jiaqi Shen; Junhua Yan; Yin Zhang

doi:10.1117/12.3007626

18 December 2023 A centre-scale sorting local contrast method for infrared small target detection

Zuoxun Hou, Zijian Liu, Jiaqi Shen, Junhua Yan, Yin Zhang

Proceedings Volume 12960, AOPC 2023: Infrared Devices and Infrared Technology; and Terahertz Technology and Applications; 129600G (2023) https://doi.org/10.1117/12.3007626
Event: Applied Optics and Photonics China 2023 (AOPC2023), 2023, Beijing, China

Abstract

This paper proposes a new method for detecting small infrared targets, which addresses the issue of low detection probability (DP) and high false alarm probability (FAP) caused by false alarm sources such as high bright background edge or independent noise. The method employs a three-layer window for local contrast calculation to obtain a more accurate reference value of the background, which can enhance real targets and suppress complex backgrounds. It also solves the problems of multi-scale target detection and independent noise removal by using rank order filtering of fixed center window. Furthermore, targets are enhanced using the gray scale distributions of their edges contrast calculation, thereby improving the DP and reducing the FAP. Experimental validation on several infrared sequences and images confirms the effectiveness and robustness of the proposed method, which outperforms five existing algorithms in terms of DP and FAP.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zuoxun Hou, Zijian Liu, Jiaqi Shen, Junhua Yan, and Yin Zhang "A centre-scale sorting local contrast method for infrared small target detection", Proc. SPIE 12960, AOPC 2023: Infrared Devices and Infrared Technology; and Terahertz Technology and Applications, 129600G (18 December 2023); https://doi.org/10.1117/12.3007626

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KEYWORDS

Target detection

Infrared radiation

Detection and tracking algorithms

Windows

Infrared imaging

Infrared detectors

Clouds

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