{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T22:44:12Z","timestamp":1765233852040,"version":"3.37.3"},"reference-count":56,"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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":["12371512"],"award-info":[{"award-number":["12371512"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Key Acquisition, Processing and Interpretation Techniques for Seismic Data Processing of China National Petroleum Corporation","doi-asserted-by":"publisher","award":["01-03-2023"],"award-info":[{"award-number":["01-03-2023"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tgrs.2024.3439685","type":"journal-article","created":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T17:45:56Z","timestamp":1723052756000},"page":"1-14","source":"Crossref","is-referenced-by-count":4,"title":["UPNet: Uncertainty-Based Picking Deep Learning Network for Robust First Break Picking"],"prefix":"10.1109","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0657-4972","authenticated-orcid":false,"given":"Hongtao","family":"Wang","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8395-1180","authenticated-orcid":false,"given":"Jiangshe","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1383-8040","authenticated-orcid":false,"given":"Xiaoli","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0094-8240","authenticated-orcid":false,"given":"Li","family":"Long","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9639-4507","authenticated-orcid":false,"given":"Chunxia","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-9672-8852","authenticated-orcid":false,"given":"Zhenbo","family":"Guo","sequence":"additional","affiliation":[{"name":"Geophysical Technology Research Center Zhuozhou, Bureau of Geophysical Prospecting Inc., China National Petroleum Corporation, Hebei, China"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1190\/1.9781560801580"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1785\/BSSA0680051521"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1785\/BSSA0770041437"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1190\/1.3463703"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/TGRS.2013.2282422"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1190\/1.1444295"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/LGRS.2004.828915"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1190\/1.1444653"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1190\/1.3059180"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1190\/1.2742813"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1190\/1.3205028"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/TGRS.2021.3118921"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/TGRS.2023.3255261"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1190\/geo2018-0688.1"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1190\/segam2019-3216775.1"},{"key":"ref16","first-page":"1","article-title":"A multi-survey dataset and benchmark for first break picking in hard rock seismic exploration","volume-title":"Proc. NeurIPS Workshop Mach. Learn. Phys. Sci. (ML4PS)","author":"Pierre-Luc"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1109\/lgrs.2021.3096572"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1111\/1365-2478.12923"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1016\/j.eswa.2021.115216"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/TGRS.2021.3121032"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1093\/gji\/ggaa186"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/TGRS.2023.3240728"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1109\/LGRS.2024.3350731"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1190\/1.1443352"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1109\/LGRS.2017.2785834"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1190\/geo2019-0422.1"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1109\/TGRS.2020.3010541"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1190\/segam2019-3215554.1"},{"doi-asserted-by":"publisher","key":"ref29","DOI":"10.1016\/j.jappgeo.2019.103848"},{"doi-asserted-by":"publisher","key":"ref30","DOI":"10.1109\/CVPR.2015.7298965"},{"doi-asserted-by":"publisher","key":"ref31","DOI":"10.1007\/978-3-319-24574-4_28"},{"doi-asserted-by":"publisher","key":"ref32","DOI":"10.1190\/segam2018-2998106.1"},{"doi-asserted-by":"publisher","key":"ref33","DOI":"10.1109\/TGRS.2019.2946118"},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1190\/segam2019-3215277.1"},{"doi-asserted-by":"publisher","key":"ref35","DOI":"10.1109\/LGRS.2023.3248233"},{"doi-asserted-by":"publisher","key":"ref36","DOI":"10.1190\/geo2019-0437.1"},{"doi-asserted-by":"publisher","key":"ref37","DOI":"10.1038\/nature14539"},{"doi-asserted-by":"publisher","key":"ref38","DOI":"10.1016\/j.inffus.2021.05.008"},{"doi-asserted-by":"publisher","key":"ref39","DOI":"10.5555\/3045390.3045502"},{"key":"ref40","first-page":"1613","article-title":"Weight uncertainty in neural network","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Blundell"},{"key":"ref41","first-page":"1","article-title":"Simple and scalable predictive uncertainty estimation using deep ensembles","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Lakshminarayanan"},{"key":"ref42","article-title":"Bayesian SegNet: Model uncertainty in deep convolutional encoder\u2013decoder architectures for scene understanding","author":"Kendall","year":"2015","journal-title":"arXiv:1511.02680"},{"doi-asserted-by":"publisher","key":"ref43","DOI":"10.1109\/TMI.2015.2445777"},{"doi-asserted-by":"publisher","key":"ref44","DOI":"10.1109\/TMI.2020.3006437"},{"doi-asserted-by":"publisher","key":"ref45","DOI":"10.1109\/CVPRW.2016.90"},{"doi-asserted-by":"publisher","key":"ref46","DOI":"10.1007\/s10462-011-9236-8"},{"doi-asserted-by":"publisher","key":"ref47","DOI":"10.5555\/3104322.3104425"},{"doi-asserted-by":"publisher","key":"ref48","DOI":"10.1109\/5.726791"},{"doi-asserted-by":"publisher","key":"ref49","DOI":"10.1162\/089976600300015015"},{"doi-asserted-by":"publisher","key":"ref50","DOI":"10.1145\/3485447.3512093"},{"doi-asserted-by":"publisher","key":"ref51","DOI":"10.1190\/geo2022-0741.1"},{"key":"ref52","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref53","first-page":"1139","article-title":"On the importance of initialization and momentum in deep learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sutskever"},{"doi-asserted-by":"publisher","key":"ref54","DOI":"10.1190\/geo2022-0666.1"},{"doi-asserted-by":"publisher","key":"ref55","DOI":"10.1190\/geo2023-0110.1"},{"doi-asserted-by":"publisher","key":"ref56","DOI":"10.2307\/2346598"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10354519\/10630534.pdf?arnumber=10630534","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T04:09:24Z","timestamp":1725163764000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10630534\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2024.3439685","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"type":"print","value":"0196-2892"},{"type":"electronic","value":"1558-0644"}],"subject":[],"published":{"date-parts":[[2024]]}}}