| Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images C Yoo, D Han, J Im, B Bechtel ISPRS Journal of Photogrammetry and Remote Sensing 157, 155-170, 2019 | 194 | 2019 |
| Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks YJ Kim, HC Kim, D Han, S Lee, J Im The Cryosphere 14 (3), 1083-1104, 2020 | 76 | 2020 |
| Retrieval of total precipitable water from Himawari-8 AHI data: A comparison of random forest, extreme gradient boosting, and deep neural network Y Lee, D Han, MH Ahn, J Im, SJ Lee Remote Sensing 11 (15), 1741, 2019 | 53 | 2019 |
| Improving local climate zone classification using incomplete building data and Sentinel 2 images based on convolutional neural networks C Yoo, Y Lee, D Cho, J Im, D Han Remote Sensing 12 (21), 3552, 2020 | 41 | 2020 |
| A novel framework of detecting convective initiation combining automated sampling, machine learning, and repeated model tuning from geostationary satellite data D Han, J Lee, J Im, S Sim, S Lee, H Han Remote Sensing 11 (12), 1454, 2019 | 38 | 2019 |
| Convolutional neural network-based land cover classification using 2-D spectral reflectance curve graphs with multitemporal satellite imagery M Kim, J Lee, D Han, M Shin, J Im, J Lee, LJ Quackenbush, Z Gu IEEE journal of selected topics in applied earth observations and remote …, 2018 | 33 | 2018 |
| Short-term forecasting of satellite-based drought indices using their temporal patterns and numerical model output S Park, J Im, D Han, J Rhee Remote Sensing 12 (21), 3499, 2020 | 30 | 2020 |
| Different spectral domain transformation for land cover classification using convolutional neural networks with multi-temporal satellite imagery J Lee, D Han, M Shin, J Im, J Lee, LJ Quackenbush Remote Sensing 12 (7), 1097, 2020 | 16 | 2020 |
| Pre-trained feature aggregated deep learning-based monitoring of overshooting tops using multi-spectral channels of GeoKompsat-2A advanced meteorological imagery J Lee, M Kim, J Im, H Han, D Han GIScience & Remote Sensing 58 (7), 1052-1071, 2021 | 14 | 2021 |
| The estimation of arctic air temperature in summer based on Machine Learning approaches using IABP Buoy and AMSR2 satellite data D Han, YJ Kim, J Im, S Lee, Y Lee, H Kim Korean Journal of Remote Sensing 34 (6_2), 1261-1272, 2018 | 12 | 2018 |
| Rainfall intensity estimation using geostationary satellite data based on machine learning: A case study in the korean peninsula in summer Y Shin, D Han, J Im Korean Journal of Remote Sensing, 2021 | 8 | 2021 |
| Precipitation nowcasting using ground radar data and simpler yet better video prediction deep learning D Han, M Choo, J Im, Y Shin, J Lee, S Jung GIScience & Remote Sensing 60 (1), 2203363, 2023 | 6 | 2023 |
| Remote sensing of sea surface salinity: challenges and research directions YJ Kim, D Han, E Jang, J Im, T Sung GIScience & Remote Sensing 60 (1), 2166377, 2023 | 6 | 2023 |
| Sensitivity analysis for CAS500-4 atmospheric correction using simulated images and suggestion of the use of geostationary satellite-based atmospheric parameters Y Kang, D Cho, D Han, J Im, J Lim, K Oh, E Kwon Korean Journal of Remote Sensing, 2021 | 2 | 2021 |
| Key factors for quantitative precipitation nowcasting using ground weather radar data based on deep learning D Han, J Im, Y Shin, J Lee Geoscientific Model Development 16, 5895–5914, 2023 | 1 | 2023 |
| A data-driven precipitation nowcasting framework using advanced deep learning model for video prediction and real-time learning approaches D Han, M Choo, J Im EGU General Assembly Conference Abstracts, EGU-13644, 2023 | | 2023 |
| 인공지능을 이용한 해수면 염분 보간 E Jang, D Han, J Im, T Sung, S Jung 2022 대한원격탐사학회 추계학술대회, 2022 | | 2022 |
| Comparison of key factors in radar-based quantitative precipitation nowcasting using deep learning D Han, Y Shin, J Im, J Lee 한국기상학회 학술대회 논문집, 542-542, 2022 | | 2022 |
| A Long-term Prediction of the Arctic Sea Ice Concentration using Deep-learning Approach YJ Kim, D Han, J Im, HC Kim 한국기상학회 학술대회 논문집, 540-540, 2022 | | 2022 |
| Detection of arctic summer melt ponds using icesat-2 altimetry data D Han, YJ Kim, S Jung, S Sim, W Kim, E Jang, J Im, HC Kim Korean Journal of Remote Sensing, 2021 | | 2021 |
Jungho ImUlsan National Institute of Science and TechnologyVerified email at unist.ac.kr
