{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T05:05:26Z","timestamp":1749531926078,"version":"3.37.3"},"reference-count":53,"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\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2020YFA0713403","2020YFA0713400"],"award-info":[{"award-number":["2020YFA0713403","2020YFA0713400"]}],"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":["42204116"],"award-info":[{"award-number":["42204116"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017596","name":"Natural Science Basic Research Program of Shaanxi","doi-asserted-by":"publisher","award":["2022JQ-230"],"award-info":[{"award-number":["2022JQ-230"]}],"id":[{"id":"10.13039\/501100017596","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tgrs.2023.3307881","type":"journal-article","created":{"date-parts":[[2023,8,23]],"date-time":"2023-08-23T17:57:53Z","timestamp":1692813473000},"page":"1-16","source":"Crossref","is-referenced-by-count":6,"title":["Learning to Decouple and Generate Seismic Random Noise via Invertible Neural Network"],"prefix":"10.1109","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4663-4645","authenticated-orcid":false,"given":"Chuangji","family":"Meng","sequence":"first","affiliation":[{"name":"School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0448-8555","authenticated-orcid":false,"given":"Jinghuai","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0237-0657","authenticated-orcid":false,"given":"Yajun","family":"Tian","sequence":"additional","affiliation":[{"name":"School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9127-4845","authenticated-orcid":false,"given":"Zhen","family":"Li","sequence":"additional","affiliation":[{"name":"School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3179718"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1111\/1365-2478.13070"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1111\/1365-2478.12237"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jappgeo.2015.04.011"},{"key":"ref53","first-page":"524","article-title":"Noise2Self: Blind denoising by self-supervision","author":"batson","year":"2019","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00984"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1190\/geo2019-0468.1"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2928715"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1111\/1365-2478.12429"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1190\/segam2012-0129.1"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3022985"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2703611"},{"key":"ref51","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2662206"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_8"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref48","first-page":"6184","article-title":"Wavelet flow: Fast training of high resolution normalizing flows","volume":"33","author":"yu","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref47","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1093\/gji\/ggab298"},{"key":"ref41","first-page":"2617","article-title":"Normalizing flows for probabilistic modeling and inference","volume":"22","author":"papamakarios","year":"2021","journal-title":"J Mach Learn Res"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01316"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58607-2_3"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2730228"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1190\/geo2015-0264.1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1190\/geo2018-0668.1"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2016.2622918"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-246X.2007.03360.x"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1190\/1.3552706"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3131655"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00326"},{"key":"ref35","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"ho","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref34","article-title":"NICE: Non-linear independent components estimation","author":"dinh","year":"2014","journal-title":"arXiv 1410 8516"},{"key":"ref37","first-page":"1","article-title":"Glow: Generative flow with invertible 1 &#x00D7; 1 convolutions","volume":"31","author":"kingma","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref36","article-title":"Density estimation using real NVP","author":"dinh","year":"2016","journal-title":"arXiv 1605 08803"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3146173"},{"key":"ref30","first-page":"1","article-title":"Denoising of multidimensional seismic data in the physical domain by a new non-local self similarity method","volume":"2022","author":"anvari","year":"2022","journal-title":"Earth Science Informatics"},{"key":"ref33","first-page":"1","article-title":"Generative adversarial nets","volume":"27","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref32","article-title":"Auto-encoding variational Bayes","author":"kingma","year":"2013","journal-title":"arXiv 1312 6114"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1190\/1.3380591"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1190\/1.1894168"},{"key":"ref39","article-title":"Guided image generation with conditional invertible neural networks","author":"ardizzone","year":"2019","journal-title":"arXiv 1907 02392"},{"key":"ref38","article-title":"Deep generative image models using a Laplacian pyramid of adversarial networks","volume":"28","author":"denton","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref24","article-title":"Variational denoising network: Toward blind noise modeling and removal","author":"yue","year":"2019","journal-title":"arXiv 1908 11314"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2593343"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1190\/geo2014-0227.1"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1190\/1.2437573"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1190\/geo2019-0815.1"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.169"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3175535"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1190\/geo2011-0235.1"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3226404"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.jappgeo.2013.05.002"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10006360\/10227303.pdf?arnumber=10227303","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T17:53:50Z","timestamp":1696269230000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10227303\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2023.3307881","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"type":"print","value":"0196-2892"},{"type":"electronic","value":"1558-0644"}],"subject":[],"published":{"date-parts":[[2023]]}}}