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红外光谱成像仪正在被考虑用于空对地目标探测应用。红外傅里叶变换光谱仪已被用来进行目标和背景的野外测量。对这些测量的分析已经证明了目标与背景颜色的存在(光谱差别)以及许多背景的高光谱波段-波段的相关性。因此,通过采用与宽带或单个窄带红外敏感器不同的红外光谱敏感器,便可以改善对高热杂乱信号背景下的低对比度目标的探测。然而,这种改善需要使用高质量的红外光谱敏感器。特别是,这种敏感器必须能达到低噪声级。本文用参数形式确定了地面分辨距离、距离、孔径大小、光谱带宽、积分时间以及敏感器噪声级之间的各种关系。目标探测所需的敏感器噪声级多半是从前的基于傅里叶变换光谱仪数据的估算值中获得的。红外探测器列阵的现有性能是根据公开的文献确定的。利用这些输入和对其它参数值作合理的假设,对探测器列阵尺寸、地面覆盖率以及敏感器噪声级之间的折衷范围进行了探索。
Infrared spectral imager is being considered for space-to-Earth target detection applications. Infrared Fourier transform spectrometers have been used to make field measurements of targets and backgrounds. Analysis of these measurements has demonstrated the presence of target and background colors (spectral differences) as well as the hyperspectral band-band dependencies of many backgrounds. As a result, the detection of low contrast targets in the context of high thermal clutter can be improved by using infrared spectral sensors that are different from broadband or single narrow band infrared sensors. However, this improvement requires the use of high quality infrared spectral sensors. In particular, such sensors must be able to achieve low noise levels. In this paper, various relationships between ground-resolved distance, distance, aperture size, spectral bandwidth, integration time and sensor noise level are determined by parameters. Most of the sensor noise levels required for target detection are derived from previous estimates based on Fourier transform spectrometer data. The current performance of infrared detector arrays is based on published literature. Using these inputs and reasonable assumptions about other parameter values, a range of compromises between detector array size, ground coverage, and sensor noise level are explored.