{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,26]],"date-time":"2025-11-26T16:39:40Z","timestamp":1764175180604,"version":"3.37.3"},"reference-count":69,"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":"am","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\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","award":["N00014-19-1-2513"],"award-info":[{"award-number":["N00014-19-1-2513"]}],"id":[{"id":"10.13039\/100000006","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.2022.3162420","type":"journal-article","created":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T19:50:40Z","timestamp":1648669840000},"page":"1-15","source":"Crossref","is-referenced-by-count":12,"title":["Iterative, Deep Synthetic Aperture Sonar Image Segmentation"],"prefix":"10.1109","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9959-3787","authenticated-orcid":false,"given":"Yung-Chen","family":"Sun","sequence":"first","affiliation":[{"name":"School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3352-6864","authenticated-orcid":false,"given":"Isaac D.","family":"Gerg","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5100-2263","authenticated-orcid":false,"given":"Vishal","family":"Monga","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JOE.1986.1145172"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-3692-5_47"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/48.126957"},{"article-title":"Signal processing for synthetic aperture sonar image enhancement","year":"2003","author":"Callow","key":"ref4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/OCEANS.2001.968699"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/OCEANS.2003.178322"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/OCEANS.2006.306855"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.csr.2015.12.015"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/ggge.20260"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.csr.2013.09.010"},{"key":"ref11","first-page":"36","article-title":"The use of synthetic aperture sonar to survey seafloor massive sulfide deposits","volume":"10","author":"Denny","year":"2015","journal-title":"J. Ocean Technol."},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/OCEANSE.2019.8867065"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2431322"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2010.5495340"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI.2017.8285358"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1117\/12.2016427"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_9"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00672"},{"key":"ref19","first-page":"207","article-title":"Boundary detection and superpixel formation in SAS imagery","volume-title":"Proc. 3rd Int. Conf. SAS SAR","author":"Cobb"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.2011.6084185"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.21236\/ada020686"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1978.4309999"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2009.5413910"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2008.11"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1117\/12.2262530"},{"key":"ref27","first-page":"209","article-title":"A variational Baysian framework for graphical models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Attias"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-4413-5_9"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8898742"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/UT.2019.8734433"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2992393"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_40"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.278"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_5"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00201"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00025"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00092"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_41"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_32"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00840"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.79"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01058"},{"key":"ref47","first-page":"478","article-title":"Unsupervised deep embedding for clustering analysis","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Xie"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.556"},{"key":"ref49","first-page":"1","article-title":"Discriminative unsupervised feature learning with convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"27","author":"Dosovitskiy"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.21"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.120"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref54","first-page":"1","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Paszke"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67558-9_28"},{"key":"ref56","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ioffe"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref58","article-title":"Adam: A method for stochastic optimization","volume-title":"arXiv:1412.6980","author":"Kingma","year":"2014"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-87825-1_2"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF38699.2020.9389388"},{"issue":"11","key":"ref61","first-page":"120","article-title":"The OpenCV library","volume":"25","author":"Bradski","year":"2000","journal-title":"Dr. Dobb\u2019s J. Softw. Tools"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/JOE.2007.893683"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995530"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1973.4309314"},{"key":"ref65","first-page":"1027","article-title":"K-means++: The advantages of careful seeding","volume-title":"Proc. 18th Annu. ACM-SIAM Symp. Discrete Algorithms","author":"Arthur"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2008.2005249"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2044957"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.76"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/36\/9633014\/9745161-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09745161.pdf?arnumber=9745161","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T00:01:28Z","timestamp":1705536088000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9745161\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":69,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2022.3162420","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"type":"print","value":"0196-2892"},{"type":"electronic","value":"1558-0644"}],"subject":[],"published":{"date-parts":[[2022]]}}}