{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,18]],"date-time":"2026-05-18T13:18:02Z","timestamp":1779110282767,"version":"3.51.4"},"reference-count":55,"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\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11971377"],"award-info":[{"award-number":["11971377"]}],"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.2022.3193563","type":"journal-article","created":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T19:47:57Z","timestamp":1658778477000},"page":"1-17","source":"Crossref","is-referenced-by-count":31,"title":["Seismic Impedance Inversion Based on Residual Attention Network"],"prefix":"10.1109","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9998-9071","authenticated-orcid":false,"given":"Bangyu","family":"Wu","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiao","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9884-6164","authenticated-orcid":false,"given":"Baohai","family":"Wu","sequence":"additional","affiliation":[{"name":"CGG GeoSoftware (Beijing), Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3997\/1365-2397.2016005"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1190\/IGCBeijing2014-138"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1117\/1.oe.58.4.040901"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2925003"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2875836"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2021.3073840"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2021.3089585"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1190\/geo2017-0495.1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3016343"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/igarss47720.2021.9553655"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2947149"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2021.3073560"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.3037429"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/rs13050909"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2021.3090108"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1190\/geo2018-0838.1"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1190\/INT-2018-0236.1"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2963106"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1190\/geo2020-0564.1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2021.3079963"},{"key":"ref21","first-page":"2204","article-title":"Recurrent models of visual attention","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Mnih"},{"key":"ref22","article-title":"Neural machine translation by jointly learning to align and translate","author":"Bahdanau","year":"2014","journal-title":"arXiv:1409.0473"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1166"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.503"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2021.3128511"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2021.3068279"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1190\/geo2020-0945.1"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2021.3113676"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1190\/geo2021-0021.1"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2021.3108515"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1177\/1073858413514136"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2004.09.041"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1126\/science.1138071"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/604"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00060"},{"key":"ref37","article-title":"Network in network","author":"Lin","year":"2013","journal-title":"arXiv:1312.4400"},{"key":"ref38","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2478.1990.tb01852.x"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-016-0043-6"},{"key":"ref44","first-page":"3320","article-title":"How transferable are features in deep neural networks","volume-title":"Proc. 28th Conf. Neural Inf. Process. Syst. (NIPS)","volume":"27","author":"Yosinski"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.5555\/3104322.3104425"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.4324\/9781410605337-29"},{"key":"ref47","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume-title":"Proc. 32nd Int. Conf. Mach. Learn.","author":"Ioffe"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.633"},{"key":"ref50","article-title":"Multi-scale context aggregation by dilated convolutions","author":"Yu","year":"2015","journal-title":"arXiv:1511.07122"},{"key":"ref51","article-title":"DropBlock: A regularization method for convolutional networks","author":"Ghiasi","year":"2018","journal-title":"arXiv:1810.12890"},{"key":"ref52","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-017-2053-3_2"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1093\/gji\/ggab074"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09837951.pdf?arnumber=9837951","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T08:39:17Z","timestamp":1706776757000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9837951\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2022.3193563","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}