Image-based Atmospheric Correction Method for CBERS -CCD Data-A Case of Zipingpu Reservoir Area in Sichuan Province
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Abstract:
As the remote sensing data collected with Chinese satellite,CBERS-CCD data and its quantitative research and application attracted heavy attentions from many scholars,especially for the restoration and reconstruction of the areas experienced the Wenchuan earthquake disaster. This research chose Sichuan Zipingpu Reservoir area as the study site,and built a new straightforward model,which used an image-based improving method and the general multiple-iterative method to estimate the required parameters,such as atmospheric path radiance,up and down transmittance,and total optical depth,etc. A few detailed comparisons were also conducted in terms of visual quality,statistical characteristics and NDVI changes of the images before and after atmospheric correction. With this developed model,the atmospheric effects of CBERS-CCD data could be eliminated and the image information also has been enhanced. A conclusion can be drawn that this image-based atmospheric correction model is highly applicable and economically effective.