{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T23:06:10Z","timestamp":1777503970837,"version":"3.51.4"},"reference-count":67,"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\/501100004750","name":"Aeronautical Science Foundation of China","doi-asserted-by":"publisher","award":["20180251003"],"award-info":[{"award-number":["20180251003"]}],"id":[{"id":"10.13039\/501100004750","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tim.2023.3282656","type":"journal-article","created":{"date-parts":[[2023,6,5]],"date-time":"2023-06-05T17:46:47Z","timestamp":1685987207000},"page":"1-13","source":"Crossref","is-referenced-by-count":11,"title":["Real-Time Infrared Horizon Detection in Maritime and Land Environments Based on Hyper-Laplace Filter and Convolutional Neural Network"],"prefix":"10.1109","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7324-4124","authenticated-orcid":false,"given":"Jian","family":"Fu","sequence":"first","affiliation":[{"name":"School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1128-7559","authenticated-orcid":false,"given":"Fan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5275-4846","authenticated-orcid":false,"given":"Jianhui","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.33.002491"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.3390\/electronics9040614"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-021-01752-2"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-020-01733-0"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18178\/ijsps.7.4.123-128"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1049\/el.2018.0989"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.402620"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ECTI-CON47248.2019.8955361"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.3390\/jmse8100799"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3390\/s16040543"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/s19173802"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.2021EDP7064"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2019.05.018"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2005.847234"},{"key":"ref17","first-page":"1","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume":"28","author":"ren","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3111099"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2013.2272843"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3390\/electronics9020213"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1177\/1550147718790753"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1117\/12.2522672"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3092070"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1986.4767851"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3126586"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.300"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2016.01.016"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/s18092825"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2018.8639077"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3047736"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11045-018-0602-4"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2412251"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/jmse10020193"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2634580"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/s20061682"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-021-02321-0"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3390\/s22072587"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105524"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2012.2194473"},{"key":"ref36","first-page":"1","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-022-02455-9"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.350"},{"key":"ref33","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref32","first-page":"1","article-title":"How does batch normalization help optimization?","volume":"31","author":"santurkar","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3216399"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3198490"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2893008"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TENCON.2016.7848237"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2890870"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12301"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16469"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA52953.2021.00142"},{"key":"ref20","article-title":"YOLOv3: An incremental improvement","author":"redmon","year":"2018","journal-title":"arXiv 1804 02767"},{"key":"ref64","year":"2022","journal-title":"Tusimple dataset"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2015.7301727"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412265"},{"key":"ref66","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref65","year":"2022","journal-title":"LabelMe"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01515-2"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00110"},{"key":"ref29","first-page":"4793","article-title":"Deep Hough transform for semantic line detection","volume":"44","author":"zhao","year":"2022","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3117052"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3181898"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3056645"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10012124\/10143695.pdf?arnumber=10143695","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,3]],"date-time":"2023-07-03T18:03:46Z","timestamp":1688407426000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10143695\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":67,"URL":"https:\/\/doi.org\/10.1109\/tim.2023.3282656","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}