PROCESS FOR CORRECTING ATMOSPHERIC INFLUENCES IN MULTISPECTRAL OPTICAL REMOTE SENSING DATA

摘要

The inventive process for correcting atmospheric influences in multispectral optical remote sensing data, which are acquired as raw data in satellite or airborne sensors for earth observation, comprises the combination of a pre-classification (DERA) of the raw data for an automatic identification of predefined classes, a correction calculation (CORA) for a conversion of the uncorrected to corrected reflectances on the ground, including an incorporation of current atmospheric data for a precise description of the atmospheric condition. The pre-classification (DERA) permits a more precise correction calculation (CORA) by generating required a priori knowledge. The method has applications in satellite or airborne remote sensing of the earth's surface.