傅里叶变换红外光谱技术可实现大气中污染气体的远程被动遥测。 而污染气团的位置和分布, 对于有害气体泄露情况下泄露位置勘查和污染扩散态势的评估来说是至关重要的。 据此设计了一套红外被动成像遥测系统, 系统由傅里叶变换光谱仪、 数据采集处理软件、 扫描系统、 可见光成像系统和计算机组成。 以六氟化硫为示踪气体, 开展了遥测验证实验。 通过非线性最小二乘算法结合辐射传输计算反演获得了目标气体的柱浓度, 并用伪彩色图显示其分布情况, 最后以可见光图像叠加伪彩色柱浓度分布图的形式显示结果。 实验分析表明, 该系统具有高探测灵敏度, 并以可视化和定量的方式显示污染的空间分布情况。

Passive remote sensing by Fourier-transform infrared (FTIR) spectrometry allows detection of air pollution. However, for the localization of a leak and a complete assessment of the situation in the case of the release of a hazardous cloud, information about the position and the distribution of a cloud is essential. Therefore, an imaging passive remote sensing system comprising an interferometer, a data acquisition and processing software, scan system, a video system, and a personal computer has been developed. The remote sensing of SF6 was done. The column densities of all directions in which a target compound has been identified may be retrieved by a nonlinear least squares fitting algorithm and algorithm of radiation transfer, and a false color image is displayed. The results were visualized by a video image, overlaid by false color concentration distribution image. The system has a high selectivity, and allows visualization and quantification of pollutant clouds.