"Computational spectral imaging in the THz band"

THz电磁波段的被动成像技术长期以来一直有望彻底改变安全成像和远程化学指纹识别。然而，被动太赫兹相机的发展一直受到该光谱区域中像素化传感器的灵敏度和不实用性的阻碍。今天，新一波的计算成像技术正在彻底改变相机的构造方式，而THz域是应用它们的最紧迫的领域。使用这些计算方法，我们将创建一类新的被动和多光谱太赫兹成像系统。为了实现这一目标，我们将把灵敏的单元素探测器与高效的太赫兹空间光调制和尖端的计算成像技术相结合。我们将实施混合少像素计算成像系统，部署多个传感器，以提高帧速率，分辨率和光谱歧视。总之，这些技术将使我们能够开发被动的超光谱THz相机，其效率比现有的THz成像系统高出几个数量级，代表了远距离安全成像的飞跃。

Passive imaging in the THz electromagnetic band has long promised to revolutionise security imaging and remote chemical fingerprinting. However, the development of passive THz cameras has been hampered by the sensitivity and impracticality of pixelated sensors in this spectral region. Today, a new wave of computational imaging techniques is revolutionizing how cameras are constructed, and the THz domain is the most pressing region in which to apply them. Using these computational approaches, we will create a new class of passive and multispectral THz imaging systems. To achieve this we will integrate sensitive, single-element detectors with efficient THz spatial light modulation and cutting-edge computational imaging techniques. We will implement hybrid few-pixel computational imaging systems, with multiple sensors deployed to enhance frame-rate, resolution and spectral discrimination. Together, these technologies will enable us to develop passive, hyper-spectral THz cameras that are orders of magnitude more efficient than existing THz imaging systems, representing a leap forward in stand-off security imaging.