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基于稳健滤波器的红外特征变化分析与超音速目标检测

Analysis of infrared signature variation and robust filter-based supersonic target detection.

作者信息

Kim Sungho, Sun Sun-Gu, Kim Kyung-Tae

机构信息

Yeungnam University, Gyeongsan-si, Gyeongsangbuk-do 712-749, Republic of Korea.

Agency for Defense Development, 111 Sunam-dong, Daejeon 305-152, Republic of Korea.

出版信息

ScientificWorldJournal. 2014 Feb 11;2014:140930. doi: 10.1155/2014/140930. eCollection 2014.

DOI:10.1155/2014/140930
PMID:24672290
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3942398/
Abstract

The difficulty of small infrared target detection originates from the variations of infrared signatures. This paper presents the fundamental physics of infrared target variations and reports the results of variation analysis of infrared images acquired using a long wave infrared camera over a 24-hour period for different types of backgrounds. The detection parameters, such as signal-to-clutter ratio were compared according to the recording time, temperature and humidity. Through variation analysis, robust target detection methodologies are derived by controlling thresholds and designing a temporal contrast filter to achieve high detection rate and low false alarm rate. Experimental results validate the robustness of the proposed scheme by applying it to the synthetic and real infrared sequences.

摘要

小红外目标检测的难点源于红外特征的变化。本文介绍了红外目标变化的基本物理原理，并报告了使用长波红外相机在24小时内针对不同类型背景获取的红外图像的变化分析结果。根据记录时间、温度和湿度比较了诸如信杂比等检测参数。通过变化分析，通过控制阈值和设计时间对比度滤波器来推导鲁棒的目标检测方法，以实现高检测率和低误报率。实验结果通过将所提出的方案应用于合成和真实红外序列来验证其鲁棒性。

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