{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T01:44:44Z","timestamp":1772070284243,"version":"3.50.1"},"reference-count":87,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Important National Science & Technology Specific Project of China","award":["2016ZX05047-002"],"award-info":[{"award-number":["2016ZX05047-002"]}]},{"name":"Research Foundation of China University of Petroleum\u2013Beijing at Karamay","award":["RCYJ2018A-01-001"],"award-info":[{"award-number":["RCYJ2018A-01-001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1109\/tgrs.2019.2928715","type":"journal-article","created":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T19:49:50Z","timestamp":1565120990000},"page":"9709-9723","source":"Crossref","is-referenced-by-count":71,"title":["Seismic Noise Attenuation Using Unsupervised Sparse Feature Learning"],"prefix":"10.1109","volume":"57","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1584-2799","authenticated-orcid":false,"given":"Mi","family":"Zhang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9786-2093","authenticated-orcid":false,"given":"Yang","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2692-5402","authenticated-orcid":false,"given":"Min","family":"Bai","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6429-4261","authenticated-orcid":false,"given":"Yangkang","family":"Chen","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref73","first-page":"3","article-title":"Autoencoders, minimum description length and helmholtz free energy","volume":"6","author":"hinton","year":"1994","journal-title":"Proc 6th Int Conf Neural Inf Process"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1093\/gji\/ggy348"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1190\/tle37060451.1"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1190\/geo2017-0595.1"},{"key":"ref76","first-page":"3563","article-title":"What regularized auto-encoders learn from the data-generating distribution","volume":"15","author":"alain","year":"2012","journal-title":"J Mach Learn Res"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2014.2324759"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1190\/geo2014-0525.1"},{"key":"ref75","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1190\/geo2015-0047.1"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1190\/geo2010-0128.1"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1190\/geo2015-0341.1"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1088\/1742-2132\/13\/2\/135"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1190\/1.2840373"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-246X.2007.03698.x"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-246X.2007.03360.x"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1093\/gji\/ggv072"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1088\/1742-2132\/12\/6\/1024"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1190\/geo2017-0554.1"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"25v","DOI":"10.1190\/1.3380591","article-title":"Seislet transform and seislet frame","volume":"75","author":"fomel","year":"2010","journal-title":"Geophysics"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2551720"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2645610"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2612821"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2651639"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1190\/geo2015-0598.1"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2783902"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1785\/0120150345"},{"key":"ref65","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.12.038"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1137\/05064182X"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1190\/tle36030267.1"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1190\/tle36030249.1"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1093\/gji\/ggx420"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2013.2278981"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1190\/geo2012-0432.1"},{"key":"ref20","first-page":"279","article-title":"FXDECON and complex Wiener prediction filter","author":"g\u00fcl\u00fcnay","year":"2005","journal-title":"SEG Technical Program Expanded Abstracts 1986"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"61v","DOI":"10.1190\/geo2011-0117.1","article-title":"Random noise attenuation using f-x regularized nonstationary autoregression","volume":"77","author":"liu","year":"2012","journal-title":"Geophysics"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1190\/geo2017-0007.1"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1190\/geo2011-0172.1"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.jappgeo.2013.03.007"},{"key":"ref26","article-title":"Seismic signal denoising and decomposition using deep neural networks","author":"zhu","year":"2018","journal-title":"arXiv 1811 02695"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.jappgeo.2016.06.008"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1190\/1.3063880"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1190\/geo2014-0116.1"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2013.2241444"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1093\/gji\/ggw230"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1190\/geo2015-0264.1"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1190\/1.3552706"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/0167-2789(92)90103-T"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1093\/gji\/ggx422"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2016.2617338"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2802462"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2765747"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1190\/geo2017-0084.1"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1190\/geo2010-0367.1"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1190\/geo2011-0198.1"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1190\/geo2012-0502.1"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2490158"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2008.04.030"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2730228"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2909218"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2697444"},{"key":"ref84","first-page":"1137","article-title":"Efficient learning of sparse representations with an energy-based model","author":"poultney","year":"2006","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1190\/1.1443920"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.09.055"},{"key":"ref19","first-page":"525","article-title":"Random noise reduction","author":"canales","year":"2005","journal-title":"SEG Technical Program Expanded Abstracts 1984"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1190\/geo2016-0164.1"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2466660"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1109\/LGRS.2014.2344020","article-title":"Matching-pursuit-based spatial-trace time-frequency peak filtering for seismic random noise attenuation","volume":"12","author":"lin","year":"2015","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2520978"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2513417"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1190\/geo2016-0509.1"},{"key":"ref86","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2688420"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1190\/geo2014-0227.1"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1190\/1.2437573"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2772037"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1190\/geo2013-0080.1"},{"key":"ref45","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1088\/1742-2132\/12\/2\/175","article-title":"Application of spectral decomposition using regularized non-stationary autoregression to random noise attenuation","volume":"12","author":"gan","year":"2015","journal-title":"J Geophys Eng"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2730849"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2698342"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1093\/gji\/ggw492"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2017.06.017"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2872416"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2018.01.010"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/8910639\/08789699.pdf?arnumber=8789699","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T20:41:20Z","timestamp":1657744880000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8789699\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":87,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tgrs.2019.2928715","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12]]}}}