활용사례

활용 사례
제목 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
국/내외 국내 작성일 2022-10-26

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 첨부 이미지

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

Key Words: Atmospheric correction · Look-up table · True-color imagery · Radiative transfer model · Rayleigh scattering ·Solar Zenith angle

출처 한국기상학회
이전/이후 글
이전글 심층신경망을 이용한 KOMPSAT-3/3A/5 영상으로부터 자연림과 인공림의 분류
다음글 Incremental Learning with Neural Network Algorithm for the Monitoring Pre-Convective Environments Using Geostationary Imager

네팔:지진(2015-05-05)

영상 정보
카테고리 재난재해
위성정보 KOMPSAT-3
생성일 2015-03-24

세부정보

영상 세부 정보
ProductID K3_20150505073608_15817_06161210
국가(영문) Nepal
국가 네팔
지역 Pokhara
레벨 1R