An experimental study on the image-based atmospheric correction method for high resolution multispectral data

The atmospheric correction is prerequisite to derive both land and ocean surface properties from satellite remote sensing data. It also improves the satellite image quality and the performance of value-added image processing. The purpose of this study is to develop an image-based atmospheric correction method for the forthcoming Korea Multi-Purpose SATellite-2 (KOMPSAT-2) Multi-Spectral Camera (MSC) data. For this purpose, we have first tested the several atmospheric correction models using the Landsat Enhanced Thermal Mapper Plus (ETM+) data that have quite similar spectral characteristics to the KOMPSAT-2 MSC data, and the in situ measured sin-face reflectance data during the satellite overflight. Subsequently, we have applied the selected models to the IKONOS data with off-nadir viewing corrections because most passes of KOMPSAT-2 are subject to such viewing conditions. This presentation discusses the results of the above tests.