📚 Representative Works
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📝 Publications
Last updated : 2021/01/10
Lee, J., Im, J., Cha, D. H., Park, H., & Sim, S. (2020). Tropical cyclone intensity estimation using multi-dimensional convolutional neural networks from geostationary satellite data. Remote Sensing, 12(1), 108.
Han, D., Lee, J., Im, J., Sim, S., Lee, S., & Han, H. (2019). A novel framework of detecting convective initiation combining automated sampling, machine learning, and repeated model tuning from geostationary satellite data. Remote Sensing, 11(12), 1454.
Lee, Y., Han, D., Ahn, M. H., Im, J., & Lee, S. J. (2019). Retrieval of total precipitable water from Himawari-8 AHI data: a comparison of random forest, extreme gradient boosting, and deep neural network. Remote Sensing, 11(15), 1741.
Sim, S., Im, J., Park, S., Park, H., Ahn, M. H., & Chan, P. W. (2018). Icing detection over East Asia from geostationary satellite data using machine learning approaches. Remote Sensing, 10(4), 631.
Kim, M., Lee, J., & Im, J. (2018). Deep learning-based monitoring of overshooting cloud tops from geostationary satellite data. GIScience & Remote Sensing, 55(5), 763-792.
Kim, M., Im, J., Park, H., Park, S., Lee, M. I., & Ahn, M. H. (2017). Detection of tropical overshooting cloud tops using himawari-8 imagery. Remote sensing, 9(7), 685.
Lee, S., Han, H., Im, J., Jang, E., & Lee, M. I. (2017). Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager data. Atmospheric Measurement Techniques, v.10, no.5, pp.1559-1574.
Park, M. S., Kim, M., Lee, M. I., Im, J., & Park, S. (2016). Detection of tropical cyclone genesis via quantitative satellite ocean surface wind pattern and intensity analyses using decision trees. Remote sensing of environment, 183, 205-214.
Han, H., Lee, S., Im, J., Kim, M., Lee, M. I., Ahn, M. H., & Chung, S. R. (2015). Detection of convective initiation using Meteorological Imager onboard Communication, Ocean, and Meteorological Satellite based on machine learning approaches. Remote Sensing, 7(7), 9184-9204.