{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T13:24:23Z","timestamp":1762953863059,"version":"3.37.3"},"reference-count":44,"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":"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\/501100002837","name":"Chang\u2019an University","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100002837","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2020YFC1512001"],"award-info":[{"award-number":["2020YFC1512001"]}],"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":["41974006"],"award-info":[{"award-number":["41974006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017622","name":"Shenzhen Scientific Research and Development Funding Program","doi-asserted-by":"publisher","award":["RCYX20210706092140076","20200812164904001"],"award-info":[{"award-number":["RCYX20210706092140076","20200812164904001"]}],"id":[{"id":"10.13039\/501100017622","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61771014"],"award-info":[{"award-number":["61771014"]}],"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":[[2022]]},"DOI":"10.1109\/tgrs.2022.3197055","type":"journal-article","created":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T19:26:17Z","timestamp":1659727577000},"page":"1-19","source":"Crossref","is-referenced-by-count":3,"title":["A Novel Pixel Orientation Estimation Based Line Segment Detection Framework, and Its Applications to SAR Images"],"prefix":"10.1109","volume":"60","author":[{"given":"Chenguang","family":"Liu","sequence":"first","affiliation":[{"name":"Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, the Guangdong Key Laboratory of Urban Informatics, and the Shenzhen Key Laboratory of Spatial Smart Sensing and Services, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7646-1418","authenticated-orcid":false,"given":"Cuiling","family":"Liu","sequence":"additional","affiliation":[{"name":"Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, the Guangdong Key Laboratory of Urban Informatics, and the Shenzhen Key Laboratory of Spatial Smart Sensing and Services, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3489-173X","authenticated-orcid":false,"given":"Chisheng","family":"Wang","sequence":"additional","affiliation":[{"name":"Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, the Guangdong Key Laboratory of Urban Informatics, and the Shenzhen Key Laboratory of Spatial Smart Sensing and Services, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wu","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Geology Engineering and Geomatics, Chang&#x2019;an University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2438-6046","authenticated-orcid":false,"given":"Qingquan","family":"Li","sequence":"additional","affiliation":[{"name":"Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, the Guangdong Key Laboratory of Urban Informatics, and the Shenzhen Key Laboratory of Spatial Smart Sensing and Services, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/361237.361242"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1986.4767808"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/0167-8655(87)90050-X"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.300"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.620"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2703841"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00072"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00169"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00727"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00105"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00286"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1987.4767964"},{"article-title":"An evaluation of current ship wake detection algorithms in SAR images","year":"2006","author":"Arnold-Bos","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.896614"},{"key":"ref15","first-page":"145","article-title":"SAR image registration using a new approach based on the generalized Hough transform","volume-title":"Proc. ISPRS","volume":"37","author":"Palmann"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2431498"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/36.7708"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/36.673672"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2016.2523560"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2738703"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107034"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2018.8518258"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-74378-3"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2323552"},{"issue":"1","key":"ref25","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1023\/A:1026593302236","article-title":"Meaningful alignments","volume":"40","author":"Desolneux","year":"2000","journal-title":"Int. J. Comput. Vis."},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.09.018"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.164"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.622"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-017-1004-z"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.161"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.28"},{"key":"ref32","first-page":"1","article-title":"Pushing the boundaries of boundary detection using deep learning","volume-title":"Proc. 4th Int. Conf. Learn. Represent. (ICLR)","volume":"4","author":"Kokkinos"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.119"},{"key":"ref34","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume-title":"Proc. 13th Int. Conf. Artif. Intell. Statist.","author":"Glorot"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2377715"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88688-4_15"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1201\/9781439808139"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3170567"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2017.8128214"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2790987"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8900036"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2013.2246838"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1117\/12.2574601"},{"key":"ref44","first-page":"1","article-title":"How to handle spatial correlations in SAR despeckling? Resampling strategies and deep learning approaches","volume-title":"Proc. 13th Eur. Conf. Synth. Aperture Radar (EUSAR)","author":"Dalsasso"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09851682.pdf?arnumber=9851682","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T12:09:02Z","timestamp":1706789342000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9851682\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2022.3197055","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"type":"print","value":"0196-2892"},{"type":"electronic","value":"1558-0644"}],"subject":[],"published":{"date-parts":[[2022]]}}}