Jiao Yang, Xu Liang, Gao Min-Guang, Feng Ming-Chun, Jin Ling, Tong Jing-Jing, Li Sheng
Key Lab of Environment Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2012 Jul;32(7):1754-7.
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.
傅里叶变换红外（FTIR）光谱法的被动遥感可用于检测空气污染。然而，对于泄漏源的定位以及在危险云团释放情况下对局势的全面评估，有关云团位置和分布的信息至关重要。因此，已开发出一种成像被动遥感系统，该系统包括干涉仪、数据采集与处理软件、扫描系统、视频系统和个人计算机。对六氟化硫进行了遥感。通过非线性最小二乘法拟合算法和辐射传输算法，可以获取已识别目标化合物所有方向上的柱密度，并显示假彩色图像。结果通过视频图像进行可视化，叠加假彩色浓度分布图像。该系统具有高选择性，可实现污染物云团的可视化和定量分析。
