{"id":"https://openalex.org/W4385153796","doi":"https://doi.org/10.1109/tgrs.2023.3297648","title":"Multifeature Collaborative Fusion Network With Deep Supervision for SAR Ship Classification","display_name":"Multifeature Collaborative Fusion Network With Deep Supervision for SAR Ship Classification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385153796","doi":"https://doi.org/10.1109/tgrs.2023.3297648"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3297648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3297648","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5057698640","display_name":"Hao Zheng","orcid":"https://orcid.org/0000-0002-5598-4348"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115604903","display_name":"Zhigang Hu","orcid":"https://orcid.org/0000-0001-5707-8931"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Hu","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112136876","display_name":"Liu Yang","orcid":"https://orcid.org/0000-0002-0154-9957"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Yang","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048326658","display_name":"Aikun Xu","orcid":"https://orcid.org/0000-0002-3525-0339"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aikun Xu","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080596183","display_name":"Meiguang Zheng","orcid":"https://orcid.org/0000-0001-8084-5203"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiguang Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004750246","display_name":"Ce Zhang","orcid":"https://orcid.org/0000-0001-5100-3584"},"institutions":[{"id":"https://openalex.org/I4210092773","display_name":"UK Centre for Ecology & Hydrology","ror":"https://ror.org/00pggkr55","country_code":"GB","type":"other","lineage":["https://openalex.org/I4210092773"]},{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ce Zhang","raw_affiliation_strings":["Lancaster Environment Centre, Lancaster University, Lancaster, U.K","U.K. Centre for Ecology and Hydrology, Lancaster, U.K"],"affiliations":[{"raw_affiliation_string":"Lancaster Environment Centre, Lancaster University, Lancaster, U.K","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"U.K. Centre for Ecology and Hydrology, Lancaster, U.K","institution_ids":["https://openalex.org/I4210092773"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087894632","display_name":"Keqin Li","orcid":"https://orcid.org/0000-0001-5224-4048"},"institutions":[{"id":"https://openalex.org/I157455823","display_name":"SUNY New Paltz","ror":"https://ror.org/03j3dv688","country_code":"US","type":"education","lineage":["https://openalex.org/I157455823"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keqin Li","raw_affiliation_strings":["Department of Computer Science, State University of New York, New Paltz, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, State University of New York, New Paltz, NY, USA","institution_ids":["https://openalex.org/I157455823"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5057698640"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":7.497,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.97950722,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9943000078201294,"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"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9943000078201294,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9681000113487244,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9679999947547913,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.8349656462669373},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8048908710479736},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7953866124153137},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.6408619284629822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6170117855072021},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5758587121963501},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5224958062171936},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48008090257644653},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4647452235221863},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44597509503364563},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.43351370096206665},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3665791153907776},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07985514402389526}],"concepts":[{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.8349656462669373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8048908710479736},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7953866124153137},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.6408619284629822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6170117855072021},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5758587121963501},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5224958062171936},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48008090257644653},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4647452235221863},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44597509503364563},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.43351370096206665},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3665791153907776},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07985514402389526},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C103038307","wikidata":"https://www.wikidata.org/wiki/Q6556360","display_name":"Lipid bilayer fusion","level":3,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tgrs.2023.3297648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3297648","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:nora.nerc.ac.uk:536026","is_oa":false,"landing_page_url":"http://nora.nerc.ac.uk/id/eprint/536026/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400758","display_name":"NERC Open Research Archive (Natural Environment Research Council)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I141816643","host_organization_name":"Natural Environment Research Council","host_organization_lineage":["https://openalex.org/I141816643"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Publication - Article"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire_cris_publications/02f29a69-b642-42b5-8a3d-6410a6adb3df","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85167795195&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zheng, H, Hu, Z, Yang, L, Xu, A, Zheng, M, Zhang, C & Li, K 2023, 'Multifeature Collaborative Fusion Network with Deep Supervision for SAR Ship Classification', IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 5212614. https://doi.org/10.1109/TGRS.2023.3297648","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:research-information.bris.ac.uk:publications/02f29a69-b642-42b5-8a3d-6410a6adb3df","is_oa":false,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/02f29a69-b642-42b5-8a3d-6410a6adb3df","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zheng, H, Hu, Z, Yang, L, Xu, A, Zheng, M, Zhang, C & Li, K 2023, 'Multifeature Collaborative Fusion Network with Deep Supervision for SAR Ship Classification', IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 5212614. https://doi.org/10.1109/TGRS.2023.3297648","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1278759165","display_name":null,"funder_award_id":"62172442","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1528512191","https://openalex.org/W1686810756","https://openalex.org/W1936750108","https://openalex.org/W1977177161","https://openalex.org/W1984176179","https://openalex.org/W2006500012","https://openalex.org/W2100217426","https://openalex.org/W2113242816","https://openalex.org/W2115718371","https://openalex.org/W2145023731","https://openalex.org/W2152057649","https://openalex.org/W2163352848","https://openalex.org/W2163605009","https://openalex.org/W2168894214","https://openalex.org/W2170282673","https://openalex.org/W2194775991","https://openalex.org/W2248623186","https://openalex.org/W2390366822","https://openalex.org/W2531409750","https://openalex.org/W2549139847","https://openalex.org/W2789845891","https://openalex.org/W2884585870","https://openalex.org/W2887218698","https://openalex.org/W2894027118","https://openalex.org/W2909500413","https://openalex.org/W2915963825","https://openalex.org/W2963446712","https://openalex.org/W2966058548","https://openalex.org/W2966796096","https://openalex.org/W2990641522","https://openalex.org/W2995385597","https://openalex.org/W3001606623","https://openalex.org/W3011118930","https://openalex.org/W3024777248","https://openalex.org/W3056736931","https://openalex.org/W3135493063","https://openalex.org/W3165563493","https://openalex.org/W3169512507","https://openalex.org/W3170133874","https://openalex.org/W3201655970","https://openalex.org/W4210472207","https://openalex.org/W4214763222","https://openalex.org/W4236137412","https://openalex.org/W4239510810","https://openalex.org/W4285235155","https://openalex.org/W4292451729","https://openalex.org/W4297775537","https://openalex.org/W4312453268","https://openalex.org/W4323896985","https://openalex.org/W4352976976","https://openalex.org/W4362470605","https://openalex.org/W4385245566","https://openalex.org/W6630875275","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6684665197","https://openalex.org/W6737664043","https://openalex.org/W6739901393","https://openalex.org/W6753412334","https://openalex.org/W7037928507"],"related_works":["https://openalex.org/W2811390910","https://openalex.org/W2146076056","https://openalex.org/W2144059113","https://openalex.org/W3003836766","https://openalex.org/W1964120219","https://openalex.org/W2773120646","https://openalex.org/W2000165426","https://openalex.org/W2385132419","https://openalex.org/W2546942002","https://openalex.org/W3176385242"],"abstract_inverted_index":{"Multi-feature":[0],"SAR":[1,82],"ship":[2,83],"classification":[3,84],"aims":[4],"to":[5,73,134,153,167],"build":[6],"models":[7,207],"that":[8,196],"can":[9],"process,":[10],"correlate,":[11],"and":[12,18,50,78,100,103,107,129,143,161,182,190,192,200,205,214],"fuse":[13,75],"information":[14,139],"from":[15],"both":[16],"handcrafted":[17,22,38,76,144],"deep":[19,43,70,79,141,203],"features.":[20,145],"Although":[21],"features":[23,39,56,77,80,142,160],"provide":[24],"rich":[25],"expert":[26],"knowledge,":[27],"current":[28,228],"fusion":[29,67,106],"methods":[30],"inadequately":[31],"explore":[32],"the":[33,45,51,115,118,136,156,163,168,174,193,227],"relatively":[34],"significant":[35],"role":[36],"of":[37,93,117,138],"in":[40,47,54],"conjunction":[41],"with":[42,69],"features,":[44],"imbalances":[46],"feature":[48,94,105,119,127,165,176,204],"contributions,":[49],"cooperative":[52],"ways":[53],"which":[55],"learn.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61],"propose":[62],"a":[63,97,104,131],"novel":[64],"multi-feature":[65,206],"collaborative":[66],"network":[68],"supervision":[71,99,128],"(MFCFNet)":[72],"effectively":[74],"for":[81],"tasks.":[85],"Specifically,":[86],"our":[87,220],"framework":[88],"mainly":[89],"includes":[90],"two":[91,186],"types":[92],"extraction":[95],"branches,":[96],"knowledge":[98],"collaboration":[101],"module,":[102],"contribution":[108],"assignment":[109],"module.":[110],"The":[111,146],"former":[112],"module":[113,148],"improves":[114],"quality":[116],"maps":[120],"learned":[121],"by":[122],"each":[123],"branch":[124],"through":[125],"auxiliary":[126],"introduces":[130],"synergy":[132],"loss":[133,170],"facilitate":[135],"interaction":[137],"between":[140],"latter":[147],"utilizes":[149],"an":[150],"attention":[151],"mechanism":[152],"adaptively":[154],"balance":[155],"importance":[157],"among":[158],"various":[159],"assign":[162],"corresponding":[164],"contributions":[166],"total":[169],"function":[171],"based":[172,208],"on":[173,185,209],"generated":[175],"weights.":[177],"We":[178],"conducted":[179],"extensive":[180],"experimental":[181],"ablation":[183],"studies":[184],"public":[187],"datasets,":[188],"OpenSARShip-1.0":[189],"FUSAR-Ship,":[191],"results":[194],"show":[195],"MFCFNet":[197,222],"is":[198],"effective":[199],"outperforms":[201],"single":[202],"previous":[210],"internal":[211],"FC":[212,216],"layer":[213,217],"terminal":[215],"fusion.":[218],"Furthermore,":[219],"proposed":[221],"exhibits":[223],"better":[224],"performance":[225],"than":[226],"state-of-the-art":[229],"methods.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":13}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}