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Atmospheric Correction of Hyperion Data Based on 6S Model

机译:基于6S模型的Hyperion数据的大气校正

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摘要

Remotely sensed data is affected by absorption and scattering of the atmosphere with the result that the data can not meet the quantification remotely sensed require. Second Simulation of the Satellite Signal in the Solar Spectrum(6S) is a model to reduce these effects and present the ‘real’ surface reflective properties by virtue of many parameters such as geometric conditions, atmosphere and aerosols models, etc. With the advent of space-borne hyperspectral sensor, there is a need to reassess its potential. In this article based on the 6S model atmospheric correction is applied to the Earth Observing 1 (EO- 1) Hyperion hyperspectral data acquired over the Menghai county of Xishuangbanna, southwest China characterized by the southern subtropical climate. The atmosphere and aerosol parameters in 6S model is either given or user definition, but user defined parameters generally produce more accurate results but difficult obtainment. However, MODIS daily products of water vapor, aerosol and ozone can be employed to build the user-defined 6S input parameters conveniently and effectively. Research results indicate that 6S correction can remove the atmospheric absorption and scattering with highly satisfactory results and notably improve the vegetation characteristics.
机译:遥感数据受大气吸收和散射的影响,结果数据不能满足遥感定量要求。太阳光谱(6S)中卫星信号的第二次模拟是一个减少这些影响并借助许多参数(例如几何条件,大气和气溶胶模型等)呈现“真实”表面反射特性的模型。星载高光谱传感器,需要重新评估其潜力。在本文中,基于6S模型,将大气校正应用于在以西南亚热带气候为特征的中国西南部西双版纳county海县获得的地球观测1(EO-1)Hyperion高光谱数据。 6S模型中的大气和气溶胶参数已给出或由用户定义,但用户定义的参数通常会产生更准确的结果,但难以获得。但是,可以使用MODIS日常产品中的水蒸气,气溶胶和臭氧来方便有效地建立用户定义的6S输入参数。研究结果表明,6S校正可以消除大气吸收和散射,结果令人满意,并且可以显着改善植被特征。

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