Passive millimeter and terahertz wave imaging has become a significant potential technique for human security check and scene monitoring. Due to the small difference of the brightness temperatures between human body and concealed objects, the temperature sensitivity and spatial resolution of radiometers are always the key performance indexes which are difficult to improve. Therefore, when the hardware performance is given, improving detectivity becomes a pressing need. In this paper, a physically-based concealed object enhancement method using multi-polarization information is presented. The polarization model and polarization property of human body and concealed objects have been analyzed. By fusing multiple polarization images, we can obtain a complete polarization image in which the contrast between human body and concealed objects is enhanced and stable. The experimental results of simulation and measurement demonstrate the enhancement performance, and Differential Signal Noise Ratio (DSNR) is obviously improved by using the proposed method.

中文翻译：

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使用多极化信息进行隐蔽物体增强，以进行被动毫米波和太赫兹波安全性筛选

被动毫米波和太赫兹波成像已成为人类安全检查和现场监视的重要潜在技术。由于人体与隐蔽物体之间的亮温差很小，辐射计的温度灵敏度和空间分辨率一直是难以提高的关键性能指标。因此，当给出硬件性能时，提高检测能力成为当务之急。本文提出了一种利用多极化信息的基于物理的隐蔽物体增强方法。分析了人体和隐蔽物体的极化模型和极化特性。通过融合多个偏振图像，我们可以获得一个完整的偏振图像，其中人体与隐蔽物体之间的对比度得到了增强和稳定。仿真和测量的实验结果证明了该方法的增强性能，并且该方法明显改善了差分信号噪声比（DSNR）。