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红外光谱成像仪正在被考虑用于空对地的目标探测。红外傅里叶变换光谱仪已经用来对野外目标和背景进行测量。对这些测量的分析表明:目标对背景颜色(光谱差别)、高光谱波段对许多背景的波段关系是存在的。因此,与宽波段或单一窄波段红外传感器相反,采用红外光谱传感器可以在高的地物干扰背景中改善对低反差目标的探测。然而,这种改善需要一台高质量的红外光谱传感器。特别是,该传感器必须是低噪声的。本文对地面分辨率距离、范围、孔径尺寸、光谱带宽、积分时间和传感器噪声电平等参数建立了相互之间的关系.所需的传感器噪声电平值很可能取自于以前根据傅里叶变换光谱仪所测的数据。红外探测器列阵现在的性能取自于公开发表的文献。采用这些数据,并对其它参数数值作出合理的假设以后,就能确定探测器列阵尺寸、地面覆盖率、以及传感器噪声电平之间的相互关系。
Infrared spectral imager is being considered for space-to-Earth target detection. Infrared Fourier transform spectrometers have been used to measure field targets and backgrounds. Analysis of these measurements shows that there is a band-to-background relationship between the target’s background color (spectral difference) and the hyperspectral band for many backgrounds. Therefore, in contrast to wide-band or single-band infrared sensors, the use of infrared spectral sensors can improve the detection of low-contrast targets in the context of high earth-borne interference. However, this improvement requires a high-quality infrared spectroscopy sensor. In particular, the sensor must be low noise. In this paper, we establish the relationship between the parameters of ground resolution distance, range, aperture size, spectral bandwidth, integration time and sensor noise level, etc. The required sensor noise level is likely to be derived from the Fourier transform Spectrometer measured data. The performance of the infrared detector array now comes from the published literature. Using these data and making reasonable assumptions about the values of other parameters, it is possible to determine the interrelationships between detector array size, ground coverage, and sensor noise levels.