{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T15:00:15Z","timestamp":1774969215445,"version":"3.50.1"},"reference-count":17,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100010560","name":"European Organization for the Exploitation of Meteorological Satellites","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010560","id-type":"DOI","asserted-by":"publisher"}]},{"name":"JMA"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/jstars.2024.3365852","type":"journal-article","created":{"date-parts":[[2024,2,14]],"date-time":"2024-02-14T18:47:30Z","timestamp":1707936450000},"page":"5234-5244","source":"Crossref","is-referenced-by-count":3,"title":["The Classification of Tropical Storm Systems in Infrared Geostationary Weather Satellite Images Using Transfer Learning"],"prefix":"10.1109","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6758-3883","authenticated-orcid":false,"given":"Jacob","family":"Senior-Williams","sequence":"first","affiliation":[{"name":"Science and Technology B.V, Delft, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-1977-0458","authenticated-orcid":false,"given":"Frank","family":"Hogervorst","sequence":"additional","affiliation":[{"name":"Science and Technology B.V, Delft, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-3585-820X","authenticated-orcid":false,"given":"Erwin","family":"Platen","sequence":"additional","affiliation":[{"name":"Science and Technology B.V, Delft, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9065-8185","authenticated-orcid":false,"given":"Arie","family":"Kuijt","sequence":"additional","affiliation":[{"name":"Science and Technology B.V, Delft, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6600-9805","authenticated-orcid":false,"given":"Jacobus","family":"Onderwaater","sequence":"additional","affiliation":[{"name":"EUMETSAT, Darmstadt, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7366-7047","authenticated-orcid":false,"given":"Roope","family":"Tervo","sequence":"additional","affiliation":[{"name":"EUMETSAT, Darmstadt, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8640-8810","authenticated-orcid":false,"given":"Viju O.","family":"John","sequence":"additional","affiliation":[{"name":"EUMETSAT, Darmstadt, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6439-6436","authenticated-orcid":false,"given":"Arata","family":"Okuyama","sequence":"additional","affiliation":[{"name":"Japan Meteorological Agency, Tokyo, Japan"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-34321-6"},{"issue":"7","key":"ref2","article-title":"Classification and estimation of typhoon intensity from geostationary meteorological satellite images based on deep learning","volume-title":"Atmosphere","volume":"13","author":"Jiang","year":"2022"},{"issue":"18","key":"ref3","article-title":"Classification and prediction of typhoon levels by satellite cloud pictures through GCLSTM deep learning model","volume-title":"Sensors","volume":"20","author":"Zhou","year":"2020"},{"key":"ref4","first-page":"1","article-title":"Classification of tropical cyclone containing images using a convolutional neural network: Performance and sensitivity to the learning dataset","volume-title":"EGUsphere","volume":"2022","author":"Gardoll","year":"2022"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3050767"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3066299"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s42452-019-1134-8"},{"key":"ref8","article-title":"Satellite: Himawari-1 (GMS-1) observing systems capability analysis and review tool","year":"2023"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1175\/2009bams2755.1"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1175\/BAMS-87-9-1195"},{"key":"ref11","article-title":"Dvorak current intensity chart wikipedia, wikimedia foundation, 29 Jul. 2019","year":"2023"},{"key":"ref12","article-title":"Dvorak common developmental patterns diagram wikipedia, wikimedia foundation, 29 Jul. 2019","year":"2023"},{"key":"ref13","article-title":"Tensorflow model zoo github.com","year":"2023"},{"key":"ref14","article-title":"LabelImg github.com","year":"2023"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2017.324"},{"key":"ref16","article-title":"What is root mean square error (RMSE) kaggle.com","year":"2023"},{"key":"ref17","article-title":"Creating a custom object detector using transfer learning","author":"Varghese","year":"2020"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/10330207\/10436346.pdf?arnumber=10436346","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T22:00:39Z","timestamp":1710367239000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10436346\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/jstars.2024.3365852","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}