{"id":"https://openalex.org/W4403390216","doi":"https://doi.org/10.1109/taes.2024.3480052","title":"Region-Based Global\u2013Local Contrastive Representation Learning for Fine-Grained Ship Classification in Remote Sensing Images","display_name":"Region-Based Global\u2013Local Contrastive Representation Learning for Fine-Grained Ship Classification in Remote Sensing Images","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4403390216","doi":"https://doi.org/10.1109/taes.2024.3480052"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2024.3480052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2024.3480052","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Transactions on Aerospace and Electronic Systems","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/A5103230011","display_name":"Kun Li","orcid":"https://orcid.org/0000-0003-3617-7871"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Li","raw_affiliation_strings":["Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-3617-7871","affiliations":[{"raw_affiliation_string":"Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038197310","display_name":"Zhunga Liu","orcid":"https://orcid.org/0000-0001-7144-7449"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhunga Liu","raw_affiliation_strings":["Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-7144-7449","affiliations":[{"raw_affiliation_string":"Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011848136","display_name":"Zuowei Zhang","orcid":"https://orcid.org/0000-0002-4855-5924"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuowei Zhang","raw_affiliation_strings":["Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-4855-5924","affiliations":[{"raw_affiliation_string":"Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.5423,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71093074,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"61","issue":"2","first_page":"2631","last_page":"2643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9700000286102295,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9700000286102295,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11698","display_name":"Underwater Acoustics Research","score":0.9067999720573425,"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/remote-sensing","display_name":"Remote sensing","score":0.6664342284202576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6347420811653137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5221041440963745},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4948274493217468},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.45258697867393494},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3982240557670593},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3555539548397064},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.24694865942001343},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13743314146995544}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6664342284202576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6347420811653137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5221041440963745},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4948274493217468},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.45258697867393494},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3982240557670593},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3555539548397064},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.24694865942001343},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13743314146995544},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2024.3480052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2024.3480052","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Transactions on Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1717529347","display_name":null,"funder_award_id":"62425308","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2938854305","display_name":null,"funder_award_id":"G2023KY05102","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W2104657103","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2202499615","https://openalex.org/W2289708887","https://openalex.org/W2462457117","https://openalex.org/W2479109623","https://openalex.org/W2531409750","https://openalex.org/W2736642243","https://openalex.org/W2737725206","https://openalex.org/W2763070548","https://openalex.org/W2773003563","https://openalex.org/W2798365843","https://openalex.org/W2883502031","https://openalex.org/W2883888092","https://openalex.org/W2891951760","https://openalex.org/W2923136550","https://openalex.org/W2940925558","https://openalex.org/W2961018736","https://openalex.org/W2963066927","https://openalex.org/W2963407932","https://openalex.org/W2963446712","https://openalex.org/W2986821660","https://openalex.org/W2997426000","https://openalex.org/W3004372116","https://openalex.org/W3005617531","https://openalex.org/W3008809756","https://openalex.org/W3013723079","https://openalex.org/W3025059568","https://openalex.org/W3034865111","https://openalex.org/W3035367622","https://openalex.org/W3035524453","https://openalex.org/W3047473256","https://openalex.org/W3050436783","https://openalex.org/W3091902759","https://openalex.org/W3108655343","https://openalex.org/W3133008479","https://openalex.org/W3194765692","https://openalex.org/W3196522548","https://openalex.org/W3200680362","https://openalex.org/W3201069089","https://openalex.org/W3208364069","https://openalex.org/W3213192039","https://openalex.org/W4210642697","https://openalex.org/W4220816550","https://openalex.org/W4221070596","https://openalex.org/W4285820546","https://openalex.org/W4316660607","https://openalex.org/W4387872074","https://openalex.org/W4389331812","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6767612737"],"related_works":["https://openalex.org/W2121524756","https://openalex.org/W2062195135","https://openalex.org/W782553550","https://openalex.org/W1987967678","https://openalex.org/W2633218168","https://openalex.org/W4235897794","https://openalex.org/W2059707233","https://openalex.org/W2085738998","https://openalex.org/W2095126257","https://openalex.org/W2546503577"],"abstract_inverted_index":{"Fine-grained":[0],"ship":[1],"classification":[2],"(FGSC)":[3],"is":[4],"a":[5,64,75,81,114,130],"critical":[6],"task":[7],"in":[8,49],"both":[9,141],"military":[10],"and":[11,18,143,165],"civilian":[12],"domains,":[13],"aimed":[14],"at":[15,140,151],"accurately":[16],"identifying":[17],"categorizing":[19],"subclasses":[20],"of":[21,117,124],"ships.":[22],"However,":[23],"achieving":[24],"highly":[25],"discriminative":[26,71,82,106],"fine-grained":[27],"feature":[28,66,72,111],"representations":[29,73],"for":[30,93],"FGSC":[31,161],"tasks":[32,139],"with":[33],"remote":[34,51],"sensing":[35,52],"images":[36],"remains":[37],"challenging.":[38],"Existing":[39],"methods":[40],"often":[41],"fail":[42],"to":[43,55,69,88,108],"effectively":[44,147],"capture":[45],"subtle":[46],"local":[47,144],"differences":[48],"complex":[50],"scenes,":[53],"leading":[54],"suboptimal":[56],"performance.":[57],"To":[58,119],"address":[59],"this":[60],"problem,":[61],"we":[62,79,100,128],"propose":[63],"region-based":[65],"learning":[67,133],"framework":[68],"learn":[70,89],"from":[74],"regional":[76],"perspective.":[77],"Specifically,":[78],"design":[80],"part":[83],"discovery":[84],"network":[85],"that":[86,172],"aims":[87],"the":[90,97,102,122,125,173],"key":[91],"subregions":[92],"each":[94],"object.":[95],"At":[96],"same":[98],"time,":[99],"promote":[101],"diversity":[103],"within":[104],"these":[105],"regions":[107],"obtain":[109],"informative":[110],"representations,":[112,127],"facilitating":[113],"comprehensive":[115],"understanding":[116],"objects.":[118],"further":[120],"enhance":[121],"discriminativeness":[123],"learned":[126],"introduce":[129],"global\u2013local":[131],"contrastive":[132,138,149],"strategy.":[134],"This":[135],"strategy":[136],"employs":[137],"global":[142],"granularities,":[145],"thereby":[146],"capturing":[148],"cues":[150],"multiple":[152],"levels.":[153],"We":[154],"evaluate":[155],"our":[156],"method":[157,175],"on":[158],"two":[159],"widely-used":[160],"datasets":[162],"(i.e.,":[163],"FGSC-23":[164],"FGSCR-42":[166],"datasets).":[167],"The":[168],"experimental":[169],"results":[170],"demonstrate":[171],"proposed":[174],"outperforms":[176],"previous":[177],"state-of-the-art":[178],"methods.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}