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Remote Sensing Technology and Application  2009, Vol. 24 Issue (3): 331-340    DOI: 10.11873/j.issn.1004-0323.2009.3.331
Atmospheric Correction Model of Remote Sensing Image by Regression Analysis between Elevation/Aerosol Optical Thickness andCorrection Parameters of 6S Model
YANG Jing-xue1,2,WANG Yun-peng1,YANG Yong1,2
(1.State Key Laboratory of Organic Geochemistry,Guangzhou Institute of Geochemistry,Chinese Academy of Sciences,Guangzhou 510640,China;2.Graduate School of the Chinese Academy of Sciences,Beijing 100039,China)
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 Atmospheric correction is necessary to retrieve the real surface reflectance of the surface objects and eliminate the distortions and noises to the spectrum caused by the presence of the atmosphere.6S (Second Simulation of the Satellite Signal in the Solar Spectrum) model is a widely used atmospheric correction model.However,great errors exist for the model if an average value of elevation or aerosol optical thickness (AOT) is used for the correction of the image covering a wide and complex area.Taking elevation or AOT as input parameters,an atmospheric correction method is proposed in this paper based on 6S model.The histogram of the corrected reflectance, NDVI and the spectral characteristics of a variety of surface objects from Guangzhou were compared with the original ones.The results show that this method is valid and in high correction precision,which were simple,applicable and could be used for atmospheric correction of remote sensing image covering the regions with similar climate conditions.This method can be applied in similar circumstances for references.

Key words:  Remote sensing      6S model      Atmospheric correction      DEM      Aerosol optical thickness     
Received:  01 September 2008      Published:  20 January 2010
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YANG Jing-xue,WANG Yun-peng,YANG Yong. Atmospheric Correction Model of Remote Sensing Image by Regression Analysis between Elevation/Aerosol Optical Thickness andCorrection Parameters of 6S Model. Remote Sensing Technology and Application, 2009, 24(3): 331-340.

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