%0 Journal Article %1 journals/tgrs/YeomJHLLP22 %A Yeom, Jong-Min %A Jeong, Seungtaek %A Ha, Jong-Sung %A Lee, Kwon-Ho %A Lee, Chang-Suk %A Park, Seonyoung %D 2022 %J IEEE Trans. Geosci. Remote. Sens. %K dblp %P 1-12 %T Estimation of the Hourly Aerosol Optical Depth From GOCI Geostationary Satellite Data: Deep Neural Network, Machine Learning, and Physical Models. %U http://dblp.uni-trier.de/db/journals/tgrs/tgrs60.html#YeomJHLLP22 %V 60

@article{journals/tgrs/YeomJHLLP22, added-at = {2023-07-27T00:00:00.000+0200}, author = {Yeom, Jong-Min and Jeong, Seungtaek and Ha, Jong-Sung and Lee, Kwon-Ho and Lee, Chang-Suk and Park, Seonyoung}, biburl = {https://www.bibsonomy.org/bibtex/292f22315a1076f8b41cc8c9667c427a9/dblp}, ee = {https://doi.org/10.1109/TGRS.2021.3107542}, interhash = {5cbdc36d13095dfe24becc37698f465d}, intrahash = {92f22315a1076f8b41cc8c9667c427a9}, journal = {IEEE Trans. Geosci. Remote. Sens.}, keywords = {dblp}, pages = {1-12}, timestamp = {2024-04-08T16:15:38.000+0200}, title = {Estimation of the Hourly Aerosol Optical Depth From GOCI Geostationary Satellite Data: Deep Neural Network, Machine Learning, and Physical Models.}, url = {http://dblp.uni-trier.de/db/journals/tgrs/tgrs60.html#YeomJHLLP22}, volume = 60, year = 2022 }