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Atmospheric correction of SPOT satellite images based on radiation transfer model

机译:基于辐射传输模型的SPOT卫星图像的大气校正

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Atmospheric correction can eliminate radiation distortion of remote sensing images caused by atmospheric effects and is the basis of data processing for dynamic monitoring of quantitative indicators. In this paper, 6S and FLAASH based on radiation transfer model are applied to atmospheric correction of SPOT4 image. Judging from the results of correction, atmospheric correction can obtain features reflectivity and expand the scope of the NDVI. But compared with FLAASH model and 6S model, the former can not remove aerosols in SPOT 4 satellite images, the latter can obtain accurate features reflectivity and vegetation index, providing the basis for the next step of information analysis.
机译:大气校正可以消除由大气效应引起的遥感图像的辐射畸变,并且是动态监测定量指标的数据处理的基础。本文将基于辐射传递模型的6S和FLAASH应用于SPOT4图像的大气校正。从校正结果来看,大气校正可以获得特征反射率并扩展了NDVI的范围。但是与FLAASH模型和6S模型相比,前者不能去除SPOT 4卫星图像中的气溶胶,后者可以获得准确的特征反射率和植被指数,为下一步的信息分析提供了基础。

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