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《Journal of Qingdao University(Engineering & Technology Edition)》 2019-04
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A Research About Atmospheric Correction Algorithm for Land Hyperspectral Remote Sensing Data

FU Hailong;LIU Yonghai;Human Resources Department,Qingdao University;Combat Service Support Team of Naval Staff of Northern Theater;  
In view of the influence of atmospheric scattering,aerosol scattering,solar reflection and other factors,the data received by the sensor are not consistent with the data reflected from the ground surface,resulting in the distortion of remote sensing image.In order to use hyperspectral imaging data for quantitative remote sensing of the land surface,the atmospheric impact must be eliminated,and the obtained information must be atmospheric corrected.We use radiative transfer model method to calibrate the remote sensing data,and use the mixed method of empirical method and radiative transfer model method to calibrate the atmosphere.The results show that the combination of ATREM and field spectral measurement can improve the atmospheric correction at different altitudes from the calibration point,and the ground calibration can eliminate the residual errors related to sensor artifacts and radiation transfer models.This research can make the remote sensing image get the surface information accurately.
【CateGory Index】: X51;X87
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