{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T15:17:41Z","timestamp":1775229461098,"version":"3.50.1"},"reference-count":70,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702094"],"award-info":[{"award-number":["61702094"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003399","name":"Young Scientists\u2019 Sailing Project of Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["17YF1427400"],"award-info":[{"award-number":["17YF1427400"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003395","name":"Dawn Project of Shanghai Municipal Education Commission","doi-asserted-by":"publisher","award":["18CG38"],"award-info":[{"award-number":["18CG38"]}],"id":[{"id":"10.13039\/501100003395","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2021,4]]},"DOI":"10.1109\/tgrs.2020.3017709","type":"journal-article","created":{"date-parts":[[2020,9,15]],"date-time":"2020-09-15T20:34:16Z","timestamp":1600202056000},"page":"3226-3243","source":"Crossref","is-referenced-by-count":45,"title":["A Novel Tensor Network for Tropical Cyclone Intensity Estimation"],"prefix":"10.1109","volume":"59","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5411-8659","authenticated-orcid":false,"given":"Zhao","family":"Chen","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6072-8632","authenticated-orcid":false,"given":"Xingxing","family":"Yu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-0912-1"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2019.2912563"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2312333"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8900127"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/atmos11070676"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2926402"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2766358"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.2151\/jmsj1965.76.5_711"},{"key":"ref36","first-page":"113","article-title":"A novel classification method for tropical cyclone intensity change analysis based on hierarchical particle swarm optimization algorithm","volume":"23","author":"geng","year":"2017","journal-title":"Tropical Meteorology"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8898937"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICALIP.2018.8455603"},{"key":"ref60","first-page":"3.3:1","article-title":"Satellite-based tropical cyclone intensity estimation using the NOAA-KLM series Advanced Microwave Sounding Unit (AMSU)","author":"brueske","year":"2001","journal-title":"Proc 11th Conf Satel Meteorol Oceanogr"},{"key":"ref62","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1038\/323533a0","article-title":"Learning representations by back-propagating errors","volume":"323","author":"rumelhart","year":"1986","journal-title":"Nature"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0493(2003)131<0687:SBTCIE>2.0.CO;2"},{"key":"ref63","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1007\/BF00994018","article-title":"Support-vector networks","volume":"20","author":"corinna","year":"1995","journal-title":"Mach Learn"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2818945"},{"key":"ref64","first-page":"21","article-title":"Nearest neighbor (NN) norms: NN pattern classification techniques","volume":"12","author":"dasarathy","year":"1990","journal-title":"Los Alamitos CA IEEE Computer Society Press"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2769120"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/54.1-2.167"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1003553"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2858817"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1003915"},{"key":"ref68","article-title":"A regularized tensor network for cyclone wind speed estimation","author":"chen","year":"2020","journal-title":"Proc IEEE Geosci Remote Sens Symp"},{"key":"ref69","article-title":"A novel general semisupervised deep learning framework for classification and regression with remote sensing images","author":"chen","year":"2020","journal-title":"Proc IEEE Geosci Remote Sens Symp"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0493(1975)103<0420:TCIAAF>2.0.CO;2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1175\/BAMS-87-9-1195"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref22","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15825-4_10"},{"key":"ref24","first-page":"1058","article-title":"Regularization of neural network using dropconnect","volume":"28","author":"li","year":"2013","journal-title":"J Mach Learn Res"},{"key":"ref23","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume":"9","author":"glorot","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2693346"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2712809"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1137\/S0895479896305696"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1561\/2200000059"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/AERO.2008.4526521"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2011.2138119"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2944949"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2012.2227738"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2688466"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2545400"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2690379"},{"key":"ref52","year":"2006","journal-title":"Tropical Cyclone Grade"},{"key":"ref10","first-page":"45","article-title":"Tropical cyclone intensity analysis using satellite data","author":"dvorak","year":"1984"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.2000819"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.59"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1175\/WAF-D-13-00133.1"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1175\/WAF-D-11-00156.1"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67946-4"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1175\/2010JAMC2519.1"},{"key":"ref18","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0434(1998)013<0172:DOAOST>2.0.CO;2"},{"key":"ref3","first-page":"42","article-title":"Tropical cyclone intensity analysis and forecasting from satellite visible or enhanced infrared imagery","author":"dvorak","year":"1982"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1175\/WAF975.1"},{"key":"ref5","first-page":"15a.4:1","article-title":"Development of the Advanced Objective Dvorak Technique (AODT)&#x2014;Current progress and future directions","author":"olander","year":"2002","journal-title":"Proc 25th Conf Hurricanes Tropical Meteorol"},{"key":"ref8","first-page":"p1.9:1","article-title":"Toward an objective satellite-based algorithm to provide real-time estimates of TC intensity using integrated multispectral (IR and MW) observations","author":"velden","year":"2004","journal-title":"Proc 14th Conf Satell Meteorol Oceanogr"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1175\/2009WAF2222284.1"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2018.2848209"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0493(1969)097<0382:EHWSFS>2.3.CO;2"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2633279"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2503737"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2872888"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2833473"},{"key":"ref42","author":"cichochi","year":"2009","journal-title":"Nonnegative Matrix and Tensor Factorizations Applications to Exploratory Multiway Data Analysis and Blind Source Separation"},{"key":"ref41","first-page":"31","article-title":"FY-4 meteorological satellite","volume":"18","author":"dong","year":"2017","journal-title":"Aerospace China"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1137\/07070111X"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1137\/S0895479898346995"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9386007\/09198130.pdf?arnumber=9198130","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:49:39Z","timestamp":1652194179000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9198130\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4]]},"references-count":70,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tgrs.2020.3017709","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4]]}}}