| 光谱学与光谱分析 |
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| Remote Sensing of Pollutant Gases Using Brightness Temperature and Principal Component Analysis |
| CUI Fang-xiao1, FANG Yong-hua1, LAN Tian-ge2, XIONG Wei1, YUAN Yue-ming1 |
1. Key Laboratory of Optical Calibration and Characterization, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
2. East China Research Institute of Electronic Engineering，Hefei 230088, China |
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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.
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Received: 2011-01-15
Accepted: 2011-05-26
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Corresponding Authors:
CUI Fang-xiao
E-mail: cuifangxiao@126.com
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