title: [Remote sensing of pollutant gases using brightness temperature and principal component analysis].
abstract: On the mobile platform, the remote sensing system for pollutant gases can not effectively obtain background spectra. It is the key step to remove background information and extract target spectral characteristics utilizing specific algorithm. The present paper addressed an algorithm based on principal component iterative fitting and brightness temperature spectrum. The algorithm didn't require strict measurement of instrumental response function. Combining the temperature spectrum, principal component analysis and iterative fitting algorithm, the target spectral feature could be effectively extracted.
authors.affiliation: Key Laboratory of Optical Calibration and Characterization, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China. cuifangxiao@126.com
authors.forename: Fang-Xiao
authors.initials: FX
authors.lastname: Cui
authors.forename: Yong-Hua
authors.initials: YH
authors.lastname: Fang
authors.forename: Tian-Ge
authors.initials: TG
authors.lastname: Lan
authors.forename: Wei
authors.initials: W
authors.lastname: Xiong
authors.forename: Yue-Ming
authors.initials: YM
authors.lastname: Yuan