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Seongmun Sim
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2020 – today
- 2024
- [j8]Seongmun Sim
, Jungho Im
Improving Short-Term Prediction of Ocean Fog Using Numerical Weather Forecasts and Geostationary Satellite-Derived Ocean Fog Data Based on AutoML. Remote. Sens. 16(13): 2348 (2024) - 2023
- [j7]Seongmun Sim
Improved Ocean-Fog Monitoring Using Himawari-8 Geostationary Satellite Data Based on Machine Learning With SHAP-Based Model Interpretation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 7819-7837 (2023) - 2022
- [j6]Yeji Shin
An Advanced Operational Approach for Tropical Cyclone Center Estimation Using Geostationary-Satellite-Based Water Vapor and Infrared Channels. Remote. Sens. 14(19): 4800 (2022) - 2021
- [j5]Haemi Park
Estimation of Spatially Continuous Near-Surface Relative Humidity Over Japan and South Korea. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 8614-8626 (2021) - 2020
- [j4]Juhyun Lee, Jungho Im
Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data. Remote. Sens. 12(1): 108 (2020)
2010 – 2019
- 2019
- [j3]Daehyeon Han
A Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine Learning, and Repeated Model Tuning from Geostationary Satellite Data. Remote. Sens. 11(12): 1454 (2019) - 2018
- [j2]Seongmun Sim
Icing Detection over East Asia from Geostationary Satellite Data Using Machine Learning Approaches. Remote. Sens. 10(4): 631 (2018) - 2016
- [j1]Hyangsun Han
Retrieval of Melt Ponds on Arctic Multiyear Sea Ice in Summer from TerraSAR-X Dual-Polarization Data Using Machine Learning Approaches: A Case Study in the Chukchi Sea with Mid-Incidence Angle Data. Remote. Sens. 8(1): 57 (2016)
Coauthor Index
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