Atmospheric Correction of True-Color RGB Imagery with Limb Area-Blending Based on 6S and Satellite Image Enhancement Techniques Using Geo-Kompsat-2A Advanced Meteorological Imager Data

Abstract This study aims for producing high-quality true-color red-green-blue (RGB) imagery that is useful interpreting various environmental phenomena, particularly GK2A. Here we deal with an issue general atmospheric correction methods RGB might be breakdown at high solar/viewing zenith angle of GK2A due to erroneous path lengths. Additionally, there another about the green band which centroid wavelength (510 nm) different from natural (555 nm), resulting in unrealistic imagery. To overcome those weakness GK2A, apply second simulation satellite signal solar spectrum radiative transfer model look-up table improved information considering altitude reflective surface reduce exaggerated correction, and a blending technique mixed before after produced naturally expressed image. Consequently, root mean square error decreased by 0.1–0.5 accordance view angles. The was modified combining it veggie form hybrid adjust approximately 550 nm. original composite dark; therefore, brighten imagery, histogram equalization conducted flatten color distribution. High-temporal-resolution AMI have significant potential provide scientists forecasters as tools visualize changing Earth also expected intuitively understand phenomenon public.