Improved Weighted Local Contrast Method for Infrared Small Target Detection

被引：0
作者：
Ma P. [1 ]
Wang J. [1 ]
Pang D. [2 ]
Shan T. [2 ]
Sun J. [1 ]
Jin Q. [1 ]
机构：
[1] School of Intelligent Engineering, Zhengzhou University of Aeronautics, Zhengzhou
[2] Beijing Key Laboratory of Fractional Signals and Systems, School of Information and Electronics, Beijing Institute of Technology, Beijing
来源：
Journal of Beijing Institute of Technology (English Edition) | 2024年 / 33卷 / 01期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
infrared small target; local contrast; target detection; unmanned aerial vehicles (UAV);
D O I：
10.15918/j.jbit1004-0579.2023.070
中图分类号：
学科分类号：
摘要：
In order to address the problem of high false alarm rate and low probabilities of infrared small target detection in complex low-altitude background, an infrared small target detection method based on improved weighted local contrast is proposed in this paper. First, the ratio information between the target and local background is utilized as an enhancement factor. The local contrast is calculated by incorporating the heterogeneity between the target and local background. Then, a local product weighted method is designed based on the spatial dissimilarity between target and background to further enhance target while suppressing background. Finally, the location of target is obtained by adaptive threshold segmentation. As experimental results demonstrate, the method shows superior performance in several evaluation metrics compared with six existing algorithms on different datasets containing targets such as unmanned aerial vehicles (UAV). © 2024 Beijing Institute of Technology. All rights reserved.
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收藏
页码：19 / 27
页数：8
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