Method for correcting atmospheric influences in multispectral optical teledetection data

摘要

Each pixel of the raw data is annotated with geographic position and observation geometry for automatic recognition of pre-defined classes and then pre-classified. A correction calculation is performed using turbidity mask to convert uncorrected reflectances. In the process, a current and essentially complete supplementary data is then incorporated to describe the atmospheric condition. The correction process consist of two partial processes combined as main modules Detection of Reference Areas (DERA) for detection/identification of dark significant spectral behavior areas and Correction of Atmosphere (CORA). Both modules access a database (DABA) with stored methods and parameters, providing the result in the form of a pixel image of the atmosphere-corrected ground reflectance with incorporated supplementary data, anisotropic reflectance characteristics of different ground type classes and terrain elevations.