{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T19:14:41Z","timestamp":1774120481071,"version":"3.50.1"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":["U1906217"],"award-info":[{"award-number":["U1906217"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61890964"],"award-info":[{"award-number":["61890964"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42206177"],"award-info":[{"award-number":["42206177"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42076182"],"award-info":[{"award-number":["42076182"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007129","name":"Shandong Provincial Natural Science Foundation","doi-asserted-by":"publisher","award":["ZR2022QD075"],"award-info":[{"award-number":["ZR2022QD075"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fund of Technology Innovation Center for Ocean Telemetry, Ministry of Natural Resources","award":["2022004"],"award-info":[{"award-number":["2022004"]}]},{"name":"Qingdao Postdoctoral Application Research Project","award":["qdyy20210082"],"award-info":[{"award-number":["qdyy20210082"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["21CX06057A"],"award-info":[{"award-number":["21CX06057A"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tgrs.2023.3325805","type":"journal-article","created":{"date-parts":[[2023,10,19]],"date-time":"2023-10-19T18:07:21Z","timestamp":1697738841000},"page":"1-16","source":"Crossref","is-referenced-by-count":8,"title":["Quantitative Inversion of Oil Film Thickness Based on Airborne Hyperspectral Data Using the 1DCNN_GRU Model"],"prefix":"10.1109","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-2664-8410","authenticated-orcid":false,"given":"Meiqi","family":"Wang","sequence":"first","affiliation":[{"name":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junfang","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5049-9394","authenticated-orcid":false,"given":"Shanwei","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1625-7989","authenticated-orcid":false,"given":"Yanfeng","family":"Gu","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6758-9863","authenticated-orcid":false,"given":"Mingming","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5641-3766","authenticated-orcid":false,"given":"Yi","family":"Ma","sequence":"additional","affiliation":[{"name":"First Institute of Oceanography and the Technology Innovation Center for Ocean Telemetry, Ministry of Natural Resources, Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianhua","family":"Wan","sequence":"additional","affiliation":[{"name":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3115492"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/rs14010157"},{"key":"ref12","first-page":"1726","article-title":"A new oil spill detection method based on GF-3 quad-polarization SAR imagery","volume":"10","author":"zhang","year":"2018","journal-title":"Remote Sens"},{"key":"ref34","article-title":"Oil slick thickness estimation based on Gaussian model and hyperspectral data","volume":"10","author":"chen","year":"2016","journal-title":"J Appl Remote Sens"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2016.04.007"},{"key":"ref37","first-page":"1317","article-title":"Oil slick thickness estimation using convolutional neural networks and hyperspectral data","volume":"13","author":"wang","year":"2021","journal-title":"Remote Sens"},{"key":"ref14","first-page":"269","article-title":"Research on the detection of oil slick thickness by synthetic aperture radar","volume":"17","author":"guo","year":"2018","journal-title":"J Ocean Univ China"},{"key":"ref36","first-page":"3059","article-title":"Oil spill thickness estimation using machine learning algorithms and hyperspectral data","volume":"58","author":"wang","year":"2020","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref31","first-page":"1236","article-title":"Oil spill thickness estimation using hyperspectral data and a modified Gaussian model","volume":"10","author":"li","year":"2018","journal-title":"Remote Sens"},{"key":"ref30","first-page":"1145","article-title":"A high-resolution hyperspectral method for oil thickness detection","volume":"9","author":"zhang","year":"2017","journal-title":"Remote Sens"},{"key":"ref11","first-page":"306","article-title":"An unmanned aerial vehicle based approach for oil spill detection and monitoring","volume":"10","author":"li","year":"2018","journal-title":"Remote Sens"},{"key":"ref33","first-page":"1049","article-title":"A review on oil thickness estimation using remote sensing methods","volume":"18","author":"yang","year":"2019","journal-title":"J Ocean Univ China"},{"key":"ref10","first-page":"1435","article-title":"A review of oil spill remote sensing technology","volume":"37","author":"liu","year":"2019","journal-title":"Limnol Ocean"},{"key":"ref32","first-page":"1905","article-title":"Oil thickness estimation using a modified Gaussian model and hyperspectral data","volume":"11","author":"zhang","year":"2019","journal-title":"Remote Sens"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3115492"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.marpolbul.2016.06.027"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS46834.2022.9883855"},{"key":"ref39","first-page":"723","article-title":"Oil slick thickness estimation using a random forest regression algorithm and hyperspectral data","volume":"10","author":"li","year":"2018","journal-title":"Remote Sens"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2021.112513"},{"key":"ref38","first-page":"814","article-title":"Oil slick thickness estimation based on machine learning and hyperspectral data","volume":"11","author":"li","year":"2019","journal-title":"Remote Sens"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/rs15082018"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS52108.2023.10282568"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/rs11091088"},{"key":"ref46","first-page":"1881","article-title":"Study of prediction models for oil thickness based on spectral curve","volume":"33","author":"sun","year":"2013","journal-title":"Spectrosc Spectr Anal"},{"key":"ref23","first-page":"8278","article-title":"Detection of oil slick thickness using airborne laser-induced fluorescence spectroscopy","volume":"57","author":"zhu","year":"2018","journal-title":"Appl Opt"},{"key":"ref45","article-title":"Extraction and analysis of oil film on water based on hyperspectral characteristics","author":"liu","year":"2013"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3194260"},{"key":"ref25","first-page":"1031","article-title":"Oil spill detection using terrestrial laser scanning: A review","volume":"11","author":"li","year":"2019","journal-title":"Remote Sens"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.3390\/rs14030666"},{"key":"ref20","first-page":"1827","article-title":"Oil spill detection in the Bohai Sea using thermal infrared imagery: Comparison of two algorithms","volume":"39","author":"li","year":"2018","journal-title":"Int J Remote Sens"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2022.135681"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1364\/OE.423702"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TAP.2023.3240998"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/etc.3687"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.26599\/TST.2020.9010057"},{"key":"ref28","first-page":"763","article-title":"Hyperspectral remote sensing for oil spill detection: A review","volume":"18","author":"guo","year":"2019","journal-title":"J Ocean Univ China"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS46834.2022.9883530"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3260987"},{"key":"ref8","first-page":"7","article-title":"Deepwater Horizon oil spill: A review of the planktonic response","volume":"73","author":"runnels","year":"2015","journal-title":"J Mar Res"},{"key":"ref7","first-page":"556","article-title":"Oil spill detection using synthetic aperture radar and optical remote sensing: A review","volume":"11","author":"li","year":"2019","journal-title":"Remote Sens"},{"key":"ref9","first-page":"1619","article-title":"An acoustic monitoring system for oil spill detection and classification","volume":"17","author":"han","year":"2017","journal-title":"SENSORS"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2011.11.007"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jenvman.2021.112428"},{"key":"ref6","first-page":"776","article-title":"An oil spill detection algorithm for high-resolution optical remote sensing images based on adaptive threshold segmentation","volume":"11","author":"liu","year":"2019","journal-title":"Remote Sens"},{"key":"ref5","first-page":"1091","article-title":"A review of oil spill remote sensing","volume":"9","author":"wang","year":"2017","journal-title":"Remote Sens"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2890421"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10006360\/10287955.pdf?arnumber=10287955","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T19:46:34Z","timestamp":1701114394000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10287955\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2023.3325805","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}