考虑阴影干扰的彩色偏振协同目标探测方法

IF 5 Q1 ENGINEERING, MULTIDISCIPLINARY
Bin Feng , Jinpei Xiao , Junchao Zhang , Lin Li , Yunlong Wu , Qing Ye
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引用次数: 0

摘要

针对无人机地面侦察中的阴影干扰问题,基于不同光照下两种物理特性(波长和偏振)的影响,提出了一种针对阴影干扰的彩色和偏振协同目标检测方法。通过整合彩色和偏振图像上的两个独立检测结果,提出了一种有效的融合策略。此外,还引入了局部增强和识别模块(LER)以提高性能。基于我们建立的数据集,实验结果表明我们的方法达到了 87.76%的识别率,比彩色图像识别率高出 12.37%,比偏振图像识别率高出 14.68%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Color-polarization synergistic target detection method considering shadow interference

Aiming at the problem of shadow interference in UAV's ground reconnaissance, a color and polarization synergistic target detection method is proposed for anti-shadow interference, based on the influence of two physical characteristics (wavelength and polarization) under different illuminations. A valid fusion strategy is proposed via integrating two separate detection results on color and polarization images. Moreover, a local enhancement and recognition module (LER) is introduced to boost the performance. Based on our built dataset, experimental results show that our method achieves mAP of 87.76%, and 12.37% higher than that of color image and 14.68% higher than that of polarization image.

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来源期刊
Defence Technology(防务技术)
Defence Technology(防务技术) Mechanical Engineering, Control and Systems Engineering, Industrial and Manufacturing Engineering
CiteScore
8.70
自引率
0.00%
发文量
728
审稿时长
25 days
期刊介绍: Defence Technology, a peer reviewed journal, is published monthly and aims to become the best international academic exchange platform for the research related to defence technology. It publishes original research papers having direct bearing on defence, with a balanced coverage on analytical, experimental, numerical simulation and applied investigations. It covers various disciplines of science, technology and engineering.
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