{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T02:50:36Z","timestamp":1773802236622,"version":"3.50.1"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41971395"],"award-info":[{"award-number":["41971395"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41930110"],"award-info":[{"award-number":["41930110"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012164","name":"National High-tech Research and Development Program","doi-asserted-by":"publisher","award":["2009AA12Z118"],"award-info":[{"award-number":["2009AA12Z118"]}],"id":[{"id":"10.13039\/501100012164","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2965173","type":"journal-article","created":{"date-parts":[[2020,1,9]],"date-time":"2020-01-09T21:09:13Z","timestamp":1578604153000},"page":"17792-17803","source":"Crossref","is-referenced-by-count":23,"title":["A Two-Component Deep Learning Network for SAR Image Denoising"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9032-0803","authenticated-orcid":false,"given":"Feng","family":"Gu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0088-8148","authenticated-orcid":false,"given":"Hong","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Chao","family":"Wang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv 1502 03167"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/rs9040389"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2017.8128203"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1080\/17538947.2018.1447032"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2013.2271650"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2520309"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3390\/rs10020196"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2017.8128234"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/rs11060702"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2758203"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.831231"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.881969"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2375359"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2657602"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/0167-2789(92)90242-F"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2045029"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2364525"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2552402"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2768059"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2517627"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/s18113643"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/S0146-664X(81)80018-4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2899773"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2493242"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1985.4767641"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/rs9101043"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1982.4767223"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2121072"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2006.871712"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2769045"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2012.2196680"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2421440"},{"key":"ref46","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proc 13th Int Conf Artif Intell Statist"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2352555"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2675998"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2009.2029593"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2161586"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2016.7729009"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2662206"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2885089"},{"key":"ref44","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.21629\/JSEE.2016.04.09"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1973.4309314"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"3448","DOI":"10.3390\/s18103448","article-title":"A boosting SAR image despeckling method based on non-local weighted group low-rank representation","volume":"18","author":"fang","year":"2018","journal-title":"SENSORS"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/08954707.pdf?arnumber=8954707","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T10:49:31Z","timestamp":1643280571000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8954707\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2965173","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}