%0 Journal Article %1 journals/remotesensing/AkhoondzadehSMW22 %A Akhoondzadeh, Mehdi %A Santis, Angelo De %A Marchetti, Dedalo %A Wang, Ting %D 2022 %J Remote. Sens. %K dblp %N 7 %P 1582 %T Developing a Deep Learning-Based Detector of Magnetic, Ne, Te and TEC Anomalies from Swarm Satellites: The Case of Mw 7.1 2021 Japan Earthquake. %U http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing14.html#AkhoondzadehSMW22 %V 14

@article{journals/remotesensing/AkhoondzadehSMW22, added-at = {2022-04-27T00:00:00.000+0200}, author = {Akhoondzadeh, Mehdi and Santis, Angelo De and Marchetti, Dedalo and Wang, Ting}, biburl = {https://www.bibsonomy.org/bibtex/283c2cac668bf8d162f8198d2101aa5ac/dblp}, ee = {https://doi.org/10.3390/rs14071582}, interhash = {32933b94895fa88d577d838eafa42c56}, intrahash = {83c2cac668bf8d162f8198d2101aa5ac}, journal = {Remote. Sens.}, keywords = {dblp}, number = 7, pages = 1582, timestamp = {2024-04-08T11:48:10.000+0200}, title = {Developing a Deep Learning-Based Detector of Magnetic, Ne, Te and TEC Anomalies from Swarm Satellites: The Case of Mw 7.1 2021 Japan Earthquake.}, url = {http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing14.html#AkhoondzadehSMW22}, volume = 14, year = 2022 }