{"id":"https://openalex.org/W3196002595","doi":"https://doi.org/10.1109/lgrs.2021.3103432","title":"One-Shot Learning-Based SAR Ship Classification Using New Hybrid Siamese Network","display_name":"One-Shot Learning-Based SAR Ship Classification Using New Hybrid Siamese Network","publication_year":2021,"publication_date":"2021-08-13","ids":{"openalex":"https://openalex.org/W3196002595","doi":"https://doi.org/10.1109/lgrs.2021.3103432","mag":"3196002595"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3103432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3103432","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074039544","display_name":"Anil Raj J","orcid":"https://orcid.org/0000-0002-9000-9943"},"institutions":[{"id":"https://openalex.org/I20497027","display_name":"Cochin University of Science and Technology","ror":"https://ror.org/00a4kqq17","country_code":"IN","type":"education","lineage":["https://openalex.org/I20497027"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"J. Anil Raj","raw_affiliation_strings":["Department of Computer Science, Cochin University of Science and Technology, Kochi, India","[Department of Computer Science, Cochin University of Science and Technology, Kochi 682022, India. (e-mail: anilzaraj@cusat.ac.in)]"],"raw_orcid":"https://orcid.org/0000-0002-9000-9943","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Cochin University of Science and Technology, Kochi, India","institution_ids":["https://openalex.org/I20497027"]},{"raw_affiliation_string":"[Department of Computer Science, Cochin University of Science and Technology, Kochi 682022, India. (e-mail: anilzaraj@cusat.ac.in)]","institution_ids":["https://openalex.org/I20497027"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075455952","display_name":"Sumam Mary Idicula","orcid":"https://orcid.org/0000-0001-7088-6909"},"institutions":[{"id":"https://openalex.org/I20497027","display_name":"Cochin University of Science and Technology","ror":"https://ror.org/00a4kqq17","country_code":"IN","type":"education","lineage":["https://openalex.org/I20497027"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sumam Mary Idicula","raw_affiliation_strings":["Department of Computer Science, Cochin University of Science and Technology, Kochi, India","Department of Computer Science, Cochin University of Science and Technology, Kochi, 682022, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Cochin University of Science and Technology, Kochi, India","institution_ids":["https://openalex.org/I20497027"]},{"raw_affiliation_string":"Department of Computer Science, Cochin University of Science and Technology, Kochi, 682022, India","institution_ids":["https://openalex.org/I20497027"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083389199","display_name":"Binu Paul","orcid":"https://orcid.org/0000-0002-0246-0890"},"institutions":[{"id":"https://openalex.org/I20497027","display_name":"Cochin University of Science and Technology","ror":"https://ror.org/00a4kqq17","country_code":"IN","type":"education","lineage":["https://openalex.org/I20497027"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Binu Paul","raw_affiliation_strings":["Division of Electronics, School of Engineering, Cochin University of Science and Technology, Kochi, India","Division of Electronics, School of Engineering, Cochin University of Science and Technology, Kochi, 682022, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Electronics, School of Engineering, Cochin University of Science and Technology, Kochi, India","institution_ids":["https://openalex.org/I20497027"]},{"raw_affiliation_string":"Division of Electronics, School of Engineering, Cochin University of Science and Technology, Kochi, 682022, India","institution_ids":["https://openalex.org/I20497027"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074039544"],"corresponding_institution_ids":["https://openalex.org/I20497027"],"apc_list":null,"apc_paid":null,"fwci":20.8021,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.98856213,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.8166669607162476},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.745300829410553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6577572226524353},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6496734619140625},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6261029839515686},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5300571322441101},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.529775857925415},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5122867822647095},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4914952516555786},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4831547141075134},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.42468926310539246},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4186314642429352},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.37828055024147034},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32722747325897217},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27867430448532104},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06454041600227356}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.8166669607162476},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.745300829410553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6577572226524353},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6496734619140625},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6261029839515686},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5300571322441101},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.529775857925415},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5122867822647095},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4914952516555786},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4831547141075134},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.42468926310539246},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4186314642429352},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.37828055024147034},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32722747325897217},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27867430448532104},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06454041600227356},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2021.3103432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3103432","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2057771708","https://openalex.org/W2096733369","https://openalex.org/W2183341477","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2531409750","https://openalex.org/W2587237118","https://openalex.org/W2775716424","https://openalex.org/W2789845891","https://openalex.org/W2903903899","https://openalex.org/W2907034392","https://openalex.org/W2963446712","https://openalex.org/W2964350391","https://openalex.org/W2997725031","https://openalex.org/W3005972422","https://openalex.org/W3106250896","https://openalex.org/W3137278923","https://openalex.org/W4293584584","https://openalex.org/W4297775537","https://openalex.org/W6637373629","https://openalex.org/W6687483927","https://openalex.org/W6725739302","https://openalex.org/W6737664043","https://openalex.org/W6750227808","https://openalex.org/W6783596713"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3092506759","https://openalex.org/W138569904","https://openalex.org/W3010890513","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W2368524271"],"abstract_inverted_index":{"Synthetic":[0],"aperture":[1],"radar":[2],"(SAR)":[3],"ship":[4,16,62,102],"classification":[5,24,32,93,103],"research":[6],"mainly":[7],"focuses":[8],"on":[9,97],"large":[10],"ships":[11,35],"with":[12],"distinctive":[13],"features.":[14],"Also,":[15,79],"types":[17],"are":[18,26,48],"expanding":[19],"nowadays.":[20],"Traditional":[21],"standard":[22],"image":[23,115],"techniques":[25],"not":[27],"adequate":[28],"for":[29,77,101],"the":[30,98,106,111],"effective":[31],"of":[33,70],"SAR":[34,114],"due":[36],"to":[37,59,64,91,110],"their":[38],"fewer":[39],"available":[40],"data":[41],"in":[42],"some":[43],"classes":[44,63],"(unbalanced":[45],"data).":[46],"We":[47],"introducing":[49],"a":[50,82],"one-shot":[51],"learning-based":[52],"deep":[53],"learning":[54],"model":[55],"built":[56],"from":[57],"scratch":[58],"classify":[60],"16":[61],"solve":[65],"these.":[66],"It":[67],"generates":[68],"embeddings":[69],"size":[71],"20":[72],"and":[73,86],"uses":[74],"distance":[75],"measure":[76],"classification.":[78],"we":[80],"propose":[81],"preprocessing":[83],"stage":[84],"(PP-stage)":[85],"feature":[87],"fusion":[88],"(FF-stage)":[89],"technique":[90],"improve":[92],"accuracy.":[94],"Experimental":[95],"results":[96],"OpenSARShip":[99],"dataset":[100],"reveal":[104],"that":[105],"accuracy":[107],"is":[108],"superior":[109],"other":[112],"state-of-the-art":[113],"classifiers.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}