红外技术2018，Vol.40Issue(5)：462-467,6.
地空背景下红外弱小运动目标检测
Detection of Small Infrared Moving Targets Under Ground-sky Background
杨慧 1张宝辉 2沙涛 1王东京 1王润宇2
作者信息
- 1. 南京理工大学电子工程与光电技术学院,江苏 南京 210094
- 2. 北方夜视科技集团有限公司南京研发中心,江苏 南京 211106
- 折叠
摘要
Abstract
Small, infrared moving targets cannot be detected accurately under a ground-sky background owing to the effect of drifting clouds, sloshing trees, and other background clutter. To solve this problem, this paper proposes a background subtraction algorithm integrating the temporal–spatial structure tensor. First, all the changing pixels are distinguished by comparing the current image to the background model. Subsequently, the method of counting the front spots is used to eliminate part of the error-isolated point detection, which is caused by noise or other factors. Further, a structure tensor module uses temporal and spatial information to detect motion blocks. Finally, the foreground target pixels and the foreground target blocks are combined, and the final result is binarized to differentiate the targets from the background. Compared with other algorithms, the proposed one has a stable detection rate and a significant decrease in the false alarm rate. The experimental results show that it is an effective and robust method for small, infrared moving-target detection under a ground-sky background.关键词
目标检测/红外弱小目标/背景差分/时空结构张量Key words
target detection/small infrared target/background subtraction/temporal-spatial structure tensor分类
信息技术与安全科学引用本文复制引用
杨慧,张宝辉,沙涛,王东京,王润宇..地空背景下红外弱小运动目标检测[J].红外技术,2018,40(5):462-467,6.
