{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T18:23:29Z","timestamp":1771698209880,"version":"3.50.1"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Research and Development Department of China National Petroleum Corporation","award":["2022DQ0604-01"],"award-info":[{"award-number":["2022DQ0604-01"]}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42274142"],"award-info":[{"award-number":["42274142"]}],"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":[[2025]]},"DOI":"10.1109\/tgrs.2025.3583766","type":"journal-article","created":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T13:45:54Z","timestamp":1751031954000},"page":"1-15","source":"Crossref","is-referenced-by-count":1,"title":["Data Augmentation Using Multiscale Generative Adversarial Networks Under Few Well Conditions for Acoustic Impedance Inversion"],"prefix":"10.1109","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-2923-6701","authenticated-orcid":false,"given":"Xiao","family":"Chen","sequence":"first","affiliation":[{"name":"State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuchen","family":"Yao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0265-5679","authenticated-orcid":false,"given":"Shangxu","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianhua","family":"Wang","sequence":"additional","affiliation":[{"name":"Exploration and Development Research Department, CNOOC Research Institute Ltd., Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Songtao","family":"Guo","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2881-831X","authenticated-orcid":false,"given":"Shoudong","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1925-1304","authenticated-orcid":false,"given":"Genyang","family":"Tang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1190\/1.1438580"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1785\/bssa0640061685"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1190\/1.1444899"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1190\/segam2019-3215902.1"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1190\/int-2018-0236.1"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1190\/geo2018-0838.1"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1190\/segam2019-3216840.1"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1080\/22020586.2019.12073187"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1190\/tle38070526.1"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2025.3560299"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2024.3445130"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2025.3557939"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1190\/geo2020-0564.1"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1190\/geo2021-0450.1"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1190\/segam2018-2995752.1"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1190\/int-2021-0142.1"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1190\/geo2023-0586.1"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1093\/jge\/gxad093"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/rs13050909"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.petsci.2021.09.038"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2019.2963106"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1190\/geo2020-0297.1"},{"key":"ref23","article-title":"Fully convolutional networks for semantic segmentation","volume-title":"arXiv:1411.4038","author":"Long","year":"2014"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2022.3193563"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2024.3401225"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1190\/geo2023-0144.1"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_49"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2102.04306"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2020.2983686"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref31","article-title":"Data augmentation by pairing samples for images classification","volume-title":"arXiv:1801.02929","author":"Inoue","year":"2018"},{"key":"ref32","article-title":"AutoAugment: Learning augmentation policies from data","volume-title":"arXiv:1805.09501","author":"Cubuk","year":"2018"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.48550\/arxiv.1710.09412"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2019.00612"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1684\/1\/012094"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1190\/geo2015-0380.1"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1190\/geo2018-0646.1"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/app12199796"},{"issue":"1","key":"ref39","first-page":"421","article-title":"Random seismic noise attenuation based on data augmentation and CNN","volume":"62","author":"Wang","year":"2019","journal-title":"Acta Geophys. Sinica"},{"issue":"11","key":"ref40","first-page":"4196","article-title":"Suppressing seismic multiples based on the deep neural network method with data augmentation training","volume":"64","author":"Wang","year":"2021","journal-title":"Chin. J. Geophys."},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1190\/image2023-3907527.1"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1190\/geo2022-0509.1"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1190\/geo2014-0352.1"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1190\/geo2019-0815.1"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3241310"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3132901"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref49","article-title":"Deep residual learning for image recognition","volume-title":"arXiv:1512.03385","author":"He","year":"2015"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3179891"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/igarss39084.2020.9323670"},{"key":"ref52","article-title":"Generative adversarial networks","volume-title":"arXiv:1406.2661","author":"Goodfellow","year":"2014"},{"key":"ref53","article-title":"Wasserstein GAN","volume-title":"arXiv:1701.07875","author":"Arjovsky","year":"2017"},{"key":"ref54","article-title":"Improved training of Wasserstein GANs","volume-title":"arXiv:1704.00028","author":"Gulrajani","year":"2017"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2019.00467"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10807682\/11053829.pdf?arnumber=11053829","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,26]],"date-time":"2025-07-26T06:27:53Z","timestamp":1753511273000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11053829\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2025.3583766","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}