{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,12,3]],"date-time":"2022-12-03T06:00:19Z","timestamp":1670047219415},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018AAA0102201"],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61976174"],"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":[[2022]]},"DOI":"10.1109\/tgrs.2022.3223421","type":"journal-article","created":{"date-parts":[[2022,11,18]],"date-time":"2022-11-18T20:38:20Z","timestamp":1668803900000},"page":"1-15","source":"Crossref","is-referenced-by-count":0,"title":["Hybrid Loss-Guided Coarse-to-Fine Model for Seismic Data Consecutively Missing Trace Reconstruction"],"prefix":"10.1109","volume":"60","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-1383-8040","authenticated-orcid":false,"given":"Xiaoli","family":"Wei","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China"}]},{"ORCID":"http:\/\/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, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-0657-4972","authenticated-orcid":false,"given":"Hongtao","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-9274-0801","authenticated-orcid":false,"given":"Zixiang","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China"}]},{"given":"Deng","family":"Xiong","sequence":"additional","affiliation":[{"name":"BGP, Geophysical Technology Research and Development Center, Zhuozhou, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-3576-6914","authenticated-orcid":false,"given":"Shuang","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Northwestern Polytechnical University, Xi’an, China"}]},{"ORCID":"http:\/\/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, China"}]},{"given":"Sang-Woon","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Myongji University, Yongin, South Korea"}]}],"member":"263","reference":[{"key":"ref39","article-title":"The relativistic discriminator: A key element missing from standard GAN","author":"jolicoeur-martineau","year":"2018","journal-title":"arXiv 1807 00734"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2020.104609"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1190\/geo2020-0723.1"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1190\/segam2016-13952935.1"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2016.2587301"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2866199"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3089585"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1080\/08123985.2021.1992254"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3068279"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1190\/geo2019-0243.1"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3068132"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.2993847"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1190\/1.1443096"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1190\/1.1993713"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3997\/2214-4609.201801394"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1190\/geo2019-0615.1"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1190\/segam2019-3207424.1"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3044455"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3008478"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3073560"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1190\/geo2019-0570.1"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"2150","DOI":"10.1109\/LGRS.2015.2453119","article-title":"Dealiased seismic data interpolation using seislet transform with low-frequency constraint","volume":"12","author":"gan","year":"2015","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1190\/1.3513645"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1190\/1.3552706"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1190\/geo2015-0264.1"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3934\/ipi.2013.7.1379"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1080\/17415977.2014.890616"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10712-018-9501-3"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1190\/geo2018-0699.1"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1190\/segam2018-2995428.1"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-59801-x"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/78.651165"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1190\/1.2771685"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-246X.2007.03698.x"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2265222"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1190\/1.2356088"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1190\/1.3380591"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1190\/geo2022-0232.1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jappgeo.2011.12.004"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref48","first-page":"1","article-title":"Unsupervised 3-D random noise attenuation using deep skip autoencoder","volume":"60","author":"yang","year":"2021","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3108515"},{"key":"ref42","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2015","journal-title":"arXiv 1511 07122"},{"key":"ref41","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref44","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref43","article-title":"Instance normalization: The missing ingredient for fast stylization","author":"ulyanov","year":"2016","journal-title":"arXiv 1607 08022"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09955578.pdf?arnumber=9955578","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,2]],"date-time":"2022-12-02T15:57:27Z","timestamp":1669996647000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9955578\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":49,"URL":"http:\/\/dx.doi.org\/10.1109\/tgrs.2022.3223421","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}
