{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,8]],"date-time":"2026-08-08T22:01:28Z","timestamp":1786226488412,"version":"3.56.0"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3111623","type":"journal-article","created":{"date-parts":[[2021,9,10]],"date-time":"2021-09-10T20:20:52Z","timestamp":1631305252000},"page":"127185-127203","source":"Crossref","is-referenced-by-count":19,"title":["Deep Sensing of Urban Waterlogging"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3449-6780","authenticated-orcid":false,"given":"Shi-Wei","family":"Lo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jyh-Horng","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jo-Yu","family":"Chang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chien-Hao","family":"Tseng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meng-Wei","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fang-Pang","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCMC.2017.8282518"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/IECON.2015.7392736"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1080\/21681163.2018.1488223"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSP.2017.8286429"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/INISTA49547.2020.9194655"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.5194\/hess-23-4621-2019"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-020-09196-8"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.09.011"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi9020104"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/rs12040706"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-annals-IV-2-W5-5-2019"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/rs11050587"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/su12052149"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-70928-9"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0235963"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2967821"},{"key":"ref21","article-title":"Meta pseudo labels","author":"pham","year":"2020","journal-title":"arXiv 2003 10580"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/w10101485"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/s16071125"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/rs12061014"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.07.003"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref55","year":"2020","journal-title":"Digital Report 2020 Taiwan"},{"key":"ref54","year":"2020"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref52","first-page":"126","article-title":"YOLOv3: An incremental improvement","author":"redmon","year":"2018","journal-title":"Proc Comput Vis Pattern Recognit (CVPR)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.apgeog.2021.102393"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/s150202369"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1117\/12.2523028"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/s150820006"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2952447"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1029\/2018WR024480"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2916488"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.2166\/hydro.2018.044"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/s19194141"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-020-01719-y"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2013.05.011"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2963819"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/w11112275"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2021.112345"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijdrr.2020.102030"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2020.125663"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2020.124677"},{"key":"ref49","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2020.124826"},{"key":"ref46","first-page":"1","article-title":"What is being transferred in transfer learning?","volume":"33","author":"neyshabur","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.108046"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2877890"},{"key":"ref47","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2020.104642"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0243073"},{"key":"ref44","first-page":"3347","article-title":"Transfusion: Understanding transfer learning for medical imaging","author":"raghu","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention&#x2014;MICCAI 2015"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09535161.pdf?arnumber=9535161","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:55:33Z","timestamp":1639770933000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9535161\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3111623","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}