Spectroscopy and Spectral Analysis, Volume. 31, Issue 10, 2794(2011)
Remote Sensing of Pollutant Gases Using Brightness Temperature and Principal Component Analysis
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.
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CUI Fang-xiao, FANG Yong-hua, LAN Tian-ge, XIONG Wei, YUAN Yue-ming. Remote Sensing of Pollutant Gases Using Brightness Temperature and Principal Component Analysis[J]. Spectroscopy and Spectral Analysis, 2011, 31(10): 2794
Received: Jan. 15, 2011
Accepted: --
Published Online: Nov. 9, 2011
The Author Email: Fang-xiao CUI (cuifangxiao@126.com)