{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T12:56:04Z","timestamp":1770814564900,"version":"3.50.1"},"reference-count":20,"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Geosci. Remote Sensing Lett."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/lgrs.2021.3103432","type":"journal-article","created":{"date-parts":[[2021,8,13]],"date-time":"2021-08-13T15:59:27Z","timestamp":1628870367000},"page":"1-5","source":"Crossref","is-referenced-by-count":25,"title":["One-Shot Learning-Based SAR Ship Classification Using New Hybrid Siamese Network"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9000-9943","authenticated-orcid":false,"given":"J. Anil","family":"Raj","sequence":"first","affiliation":[{"name":"Department of Computer Science, Cochin University of Science and Technology, Kochi, India"}]},{"given":"Sumam Mary","family":"Idicula","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Cochin University of Science and Technology, Kochi, India"}]},{"given":"Binu","family":"Paul","sequence":"additional","affiliation":[{"name":"Division of Electronics, School of Engineering, Cochin University of Science and Technology, Kochi, India"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1049\/el.2016.4598"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/rs10020190"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICACC48162.2019.8986210"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1817\/1\/012010"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"ref6","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/rs10122043"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2960095"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2854661"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/BIGSARDATA.2017.8124929"},{"key":"ref12","article-title":"Siamese neural networks for one-shot image recognition","volume-title":"Proc. ICML deep Learn. workshop","volume":"2","author":"Koch"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/s0146-664x(81)80005-6"},{"key":"ref15","article-title":"Densely connected convolutional networks","author":"Huang","year":"2016","journal-title":"arXiv:1608.06993"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref17","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017","journal-title":"arXiv:1704.04861"},{"key":"ref18","article-title":"Deep residual learning for image recognition","author":"He","year":"2015","journal-title":"arXiv:1512.03385"},{"key":"ref19","article-title":"YOLOv3: An incremental improvement","author":"Redmon","year":"2018","journal-title":"arXiv:1804.02767"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"}],"container-title":["IEEE Geoscience and Remote Sensing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8859\/9651998\/09512781.pdf?arnumber=9512781","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T18:37:18Z","timestamp":1766083038000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9512781\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/lgrs.2021.3103432","relation":{},"ISSN":["1545-598X","1558-0571"],"issn-type":[{"value":"1545-598X","type":"print"},{"value":"1558-0571","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}