Ben-David Avishai
Opt Express. 2003 Mar 10;11(5):418-29. doi: 10.1364/oe.11.000418.
Bio-aerosols containing Bacillus subtilis var. niger (BG) were detected at a distance of 3 km with a passive Fourier Transform InfraRed (FTIR) spectrometer in an open-air environment where the thermal contrast was low (~ 1 K). The measurements were analyzed with a new hyperspectral detection, identification and estimation algorithm based on radiative transfer theory and advanced signal processing techniques that statistically subtract the undesired background spectra. The results are encouraging as they suggest for the first time the feasibility of detecting biological aerosols with passive FTIR sensors. The number of detection events was small but statistically significant. We estimate the false alarm rate for this experiment to be 0.0095 and the probability of detection to be 0.61 when a threshold of detection that minimizes the sum of the probabilities of false alarm and of missed detection is chosen.
在热对比度较低（约1K）的露天环境中，使用被动式傅里叶变换红外（FTIR）光谱仪在3公里的距离处检测到了含有枯草芽孢杆菌黑色变种（BG）的生物气溶胶。测量结果采用了一种基于辐射传输理论和先进信号处理技术的新型高光谱检测、识别和估计算法进行分析，该算法能从统计上减去不需要的背景光谱。结果令人鼓舞，因为它们首次表明了使用被动式FTIR传感器检测生物气溶胶的可行性。检测事件的数量虽少，但具有统计学意义。当选择一个能使误报概率和漏检概率之和最小化的检测阈值时，我们估计该实验的误报率为0.0095，检测概率为0.61。
