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Remote Sensing Technology and Application  2010, Vol. 25 Issue (4): 532-539    DOI: 10.11873/j.issn.1004-0323.2010.4.532
article     
The Atmospheric Correction for TM Image under Complicated Geographic Conditions Based on Automatically Extracted Many Dark Objects
HE Ying-qing1,DENG Ru-ru1,CHEN Lei1,2,QI Zhi-xin3,QIN Yan1,ZHU Jia-min1
1.School of Geographic Science and Planning,Sun Yat-sen University,Guangzhou 510275,China;
2.South China Sea Marine Engineering and Environment Institute,SOA,Guangzhou 510300,China;
3.Department of Urban Planning and Design,The University of Hong Kong,China
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Abstract  

Under complicated geographic conditions,the spatial distribution of aerosol is comparatively significiant.It is hard to achieve desirable result only by using measured parameter of Aerosol or Dark Objects to carry out the atmospheric correction.Moreover,manually selecting dark objects requires sufficient expertise.Program is used to automatically find out dense vegetation pixels and vegetation pixels under shadow in mountainous areas as dark objects,which are evenly distributed in different district and evaluation,as many as possible.Next,a good imitation was made for complicated geography of atmospheric condition.Based on the radiative transfer model,some mathematical methods such as iteration and interpolation are used to obtain the optical depth of TM1 and TM3 bands.Then,the aerosol wavelength exponent and turbidity coefficient are calculated.Finally,the atmospheric optical depth of each band is calculated  to implement the atmospheric correction.
 

Key words:  Atmospheric correction      Many dark objects      Automatic extraction      Complicated geographic conditions      TM     
Published:  21 October 2010
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HE Ying-qing
DENG Ru-ru
CHEN Lei
QI Zhi-xin
QIN Yan
ZHU Jia-min

Cite this article: 

HE Ying-qing, DENG Ru-ru, CHEN Lei, QI Zhi-xin, QIN Yan, ZHU Jia-min. The Atmospheric Correction for TM Image under Complicated Geographic Conditions Based on Automatically Extracted Many Dark Objects. Remote Sensing Technology and Application, 2010, 25(4): 532-539.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2010.4.532     OR     http://www.rsta.ac.cn/EN/Y2010/V25/I4/532

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