Articles | Volume 7, issue 8
https://doi.org/10.5194/amt-7-2471-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-7-2471-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Introduction of the in-orbit test and its performance for the first meteorological imager of the Communication, Ocean, and Meteorological Satellite
D. H. Kim
National Meteorological Satellite Center/KMA, 64-18 Guam-gil, Gwanghyewon-myeon, Jincheon-gun, Chungcheongbuk-do, 365-830, Republic of Korea
M. H. Ahn
Department of Atmospheric Science and Engineering, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, 120-750, Republic of Korea
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Cited
18 citations as recorded by crossref.
- Effects of GSICS correction on estimation of sea surface temperature using COMS data E. Park et al. 10.1080/01431161.2015.1007249
- Applications of Geostationary Satellite Data to Aviation G. Ellrod & K. Pryor 10.1007/s00024-018-1821-1
- On-orbit imager installation angles estimation and compensation based on time-series prediction method for GEO optical satellite J. Huang et al. 10.1007/s11082-024-07090-3
- Machine Learning Approaches for Detecting Tropical Cyclone Formation Using Satellite Data M. Kim et al. 10.3390/rs11101195
- Temporal Resolution Enhancement of COMS Satellite Using Geo-Kompsat-2A Satellite Through Data-to-Data Translation Y. Kim et al. 10.1109/JSTARS.2024.3396992
- Introduction of the Advanced Meteorological Imager of Geo-Kompsat-2a: In-Orbit Tests and Performance Validation D. Kim et al. 10.3390/rs13071303
- Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine Learning Approaches H. Han et al. 10.3390/rs70709184
- COMS Visible Channel Calibration Using Moon Observation Data T. Oh & D. Kim 10.3390/rs10050726
- Application of an artificial neural network for a direct estimation of atmospheric instability from a next-generation imager S. Lee et al. 10.1007/s00376-015-5084-9
- Remote Sensing Inversion of Typical Water Quality Parameters of a Complex River Network: A Case Study of Qidong’s Rivers X. Zhu et al. 10.3390/su15086948
- Improved estimation of insolation by using calibrated COMS MI images over South Korea K. Han et al. 10.1080/2150704X.2015.1019651
- Inter-comparison of the infrared channels of the meteorological imager onboard COMS and hyperspectral IASI data D. Kim et al. 10.1007/s00376-014-4124-1
- Bridging satellite missions: deep transfer learning for enhanced tropical cyclone intensity estimation M. Choo et al. 10.1080/15481603.2024.2325720
- Development and Analysis of COMS AMV Target Tracking Algorithm using Gaussian Cluster Analysis Y. Oh et al. 10.7780/kjrs.2015.31.6.4
- NDFTC: A New Detection Framework of Tropical Cyclones from Meteorological Satellite Images with Deep Transfer Learning S. Pang et al. 10.3390/rs13091860
- Improved detection of low stratus and fog at dawn from dual geostationary (COMS and FY-2D) satellites J. Yoo et al. 10.1016/j.rse.2018.04.019
- An Image Compensation Method for the Camera Onboard SDLT-1 Satellite of China J. Huang & J. Xi 10.1007/s12524-022-01555-2
- On-orbit calibration based upon star observation to correct thermal deformation of geostationary optical satellites J. Huang et al. 10.1080/10739149.2024.2303596
18 citations as recorded by crossref.
- Effects of GSICS correction on estimation of sea surface temperature using COMS data E. Park et al. 10.1080/01431161.2015.1007249
- Applications of Geostationary Satellite Data to Aviation G. Ellrod & K. Pryor 10.1007/s00024-018-1821-1
- On-orbit imager installation angles estimation and compensation based on time-series prediction method for GEO optical satellite J. Huang et al. 10.1007/s11082-024-07090-3
- Machine Learning Approaches for Detecting Tropical Cyclone Formation Using Satellite Data M. Kim et al. 10.3390/rs11101195
- Temporal Resolution Enhancement of COMS Satellite Using Geo-Kompsat-2A Satellite Through Data-to-Data Translation Y. Kim et al. 10.1109/JSTARS.2024.3396992
- Introduction of the Advanced Meteorological Imager of Geo-Kompsat-2a: In-Orbit Tests and Performance Validation D. Kim et al. 10.3390/rs13071303
- Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine Learning Approaches H. Han et al. 10.3390/rs70709184
- COMS Visible Channel Calibration Using Moon Observation Data T. Oh & D. Kim 10.3390/rs10050726
- Application of an artificial neural network for a direct estimation of atmospheric instability from a next-generation imager S. Lee et al. 10.1007/s00376-015-5084-9
- Remote Sensing Inversion of Typical Water Quality Parameters of a Complex River Network: A Case Study of Qidong’s Rivers X. Zhu et al. 10.3390/su15086948
- Improved estimation of insolation by using calibrated COMS MI images over South Korea K. Han et al. 10.1080/2150704X.2015.1019651
- Inter-comparison of the infrared channels of the meteorological imager onboard COMS and hyperspectral IASI data D. Kim et al. 10.1007/s00376-014-4124-1
- Bridging satellite missions: deep transfer learning for enhanced tropical cyclone intensity estimation M. Choo et al. 10.1080/15481603.2024.2325720
- Development and Analysis of COMS AMV Target Tracking Algorithm using Gaussian Cluster Analysis Y. Oh et al. 10.7780/kjrs.2015.31.6.4
- NDFTC: A New Detection Framework of Tropical Cyclones from Meteorological Satellite Images with Deep Transfer Learning S. Pang et al. 10.3390/rs13091860
- Improved detection of low stratus and fog at dawn from dual geostationary (COMS and FY-2D) satellites J. Yoo et al. 10.1016/j.rse.2018.04.019
- An Image Compensation Method for the Camera Onboard SDLT-1 Satellite of China J. Huang & J. Xi 10.1007/s12524-022-01555-2
- On-orbit calibration based upon star observation to correct thermal deformation of geostationary optical satellites J. Huang et al. 10.1080/10739149.2024.2303596
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