{"id":"https://openalex.org/W4401326837","doi":"https://doi.org/10.1109/access.2024.3438797","title":"GS-YOLO: A Lightweight SAR Ship Detection Model Based on Enhanced GhostNetV2 and SE Attention Mechanism","display_name":"GS-YOLO: A Lightweight SAR Ship Detection Model Based on Enhanced GhostNetV2 and SE Attention Mechanism","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401326837","doi":"https://doi.org/10.1109/access.2024.3438797"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3438797","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3438797","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3438797","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067014303","display_name":"Di Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Lv","raw_affiliation_strings":["School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":"https://orcid.org/0009-0003-2848-6022","affiliations":[{"raw_affiliation_string":"School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101476621","display_name":"Chao Zhao","orcid":"https://orcid.org/0000-0003-2465-5776"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Zhao","raw_affiliation_strings":["School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100423335","display_name":"Hua Ye","orcid":"https://orcid.org/0000-0002-4947-6195"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Ye","raw_affiliation_strings":["School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020195995","display_name":"Fan Yan","orcid":"https://orcid.org/0000-0001-6729-2229"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Fan","raw_affiliation_strings":["School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070084936","display_name":"Xin Shu","orcid":"https://orcid.org/0000-0003-1079-8434"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Shu","raw_affiliation_strings":["School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":"https://orcid.org/0000-0003-1079-8434","affiliations":[{"raw_affiliation_string":"School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210096899"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.0874,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.95153663,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"108414","last_page":"108424"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9926000237464905,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9811999797821045,"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/computer-science","display_name":"Computer science","score":0.8295567035675049},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7500569224357605},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.73203045129776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5755022764205933},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5142986178398132},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5004680156707764},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48839086294174194},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.42375749349594116},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.4130703806877136},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.339330792427063},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13744285702705383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8295567035675049},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7500569224357605},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.73203045129776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5755022764205933},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5142986178398132},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5004680156707764},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48839086294174194},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.42375749349594116},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.4130703806877136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.339330792427063},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13744285702705383},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3438797","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3438797","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:752768a4654947d7a7675a27d02d7960","is_oa":true,"landing_page_url":"https://doaj.org/article/752768a4654947d7a7675a27d02d7960","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 108414-108424 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3438797","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3438797","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2044531722","https://openalex.org/W2102605133","https://openalex.org/W2564429410","https://openalex.org/W2621042270","https://openalex.org/W2626948536","https://openalex.org/W2752782242","https://openalex.org/W2757678917","https://openalex.org/W2781743647","https://openalex.org/W2805508018","https://openalex.org/W2884283253","https://openalex.org/W2884561390","https://openalex.org/W2890289853","https://openalex.org/W2895222021","https://openalex.org/W2923175878","https://openalex.org/W2962826923","https://openalex.org/W2963037989","https://openalex.org/W2965691341","https://openalex.org/W2966683369","https://openalex.org/W3038948729","https://openalex.org/W3122173535","https://openalex.org/W3177052299","https://openalex.org/W3194790201","https://openalex.org/W4214571488","https://openalex.org/W4221161331","https://openalex.org/W4281762445","https://openalex.org/W4281790833","https://openalex.org/W4293584584","https://openalex.org/W4293865746","https://openalex.org/W4297549407","https://openalex.org/W4317796385","https://openalex.org/W4323274166","https://openalex.org/W4360838197","https://openalex.org/W4361285851","https://openalex.org/W4383570473","https://openalex.org/W4389233081","https://openalex.org/W4394685284","https://openalex.org/W6638444622","https://openalex.org/W6748353328","https://openalex.org/W6750227808","https://openalex.org/W6760424586","https://openalex.org/W6796538260","https://openalex.org/W6843266737","https://openalex.org/W6846863797"],"related_works":["https://openalex.org/W2793402697","https://openalex.org/W4391491570","https://openalex.org/W2042019967","https://openalex.org/W2093785611","https://openalex.org/W4386174346","https://openalex.org/W2157133621","https://openalex.org/W2019193285","https://openalex.org/W4224073133","https://openalex.org/W2056850745","https://openalex.org/W2049184638"],"abstract_inverted_index":{"Synthetic":[0],"Aperture":[1],"Radar":[2],"(SAR)":[3],"imaging":[4],"technology":[5],"is":[6,93,107],"crucial":[7],"for":[8,32,115],"maritime":[9],"vessel":[10],"monitoring.":[11],"However,":[12],"the":[13,44,52,84,89,100,111,120,135,146,151,166,177],"inherent":[14],"characteristics":[15],"of":[16,30,54,139],"SAR":[17,69,121],"images,":[18],"such":[19],"as":[20,83],"limited":[21],"feature":[22,112],"resolution":[23],"and":[24,57,97,103,118,137,165,189],"speckle":[25],"noise,":[26],"pose":[27],"a":[28,67,128,155,183],"series":[29],"challenges":[31],"ship":[33,70,122],"detection.":[34],"Although":[35],"existing":[36],"research":[37],"has":[38],"made":[39],"great":[40],"progress":[41],"in":[42,158],"improving":[43],"model":[45,72],"detection":[46,71,123,159,187],"accuracy,":[47],"it":[48],"often":[49],"comes":[50],"at":[51],"cost":[53],"reduced":[55],"efficiency":[56,91],"increased":[58],"computational":[59,90],"complexity.":[60],"To":[61],"address":[62],"this":[63],"issue,":[64],"we":[65,79,126],"propose":[66],"lightweight":[68,85],"based":[73,94],"on":[74,95,145],"YOLOv5s,":[75],"named":[76],"GS-YOLO.":[77],"Firstly,":[78],"adopt":[80],"C3GhostV2":[81],"modules":[82],"backbone":[86],"to":[87,109,133,163,173],"enhance":[88],"which":[92],"GhostNetV2":[96],"GConv.":[98],"In":[99,175],"neck,":[101],"Squeeze":[102],"Excitation":[104],"(SE)":[105],"attention":[106],"employed":[108],"strengthen":[110],"extraction":[113],"ability":[114],"small":[116],"targets":[117],"improve":[119],"precision.":[124],"Furthermore,":[125],"develop":[127],"novel":[129],"XIoU":[130],"loss":[131],"function":[132],"reinforce":[134],"accuracy":[136],"robustness":[138],"our":[140],"model.":[141],"Comparative":[142],"experiment":[143],"results":[144],"HRSID":[147],"dataset":[148],"show":[149],"that":[150],"proposed":[152],"GS-YOLO":[153],"achieves":[154],"significant":[156],"increase":[157],"precision":[160],"from":[161,171],"88.2%":[162],"92.7%":[164],"mean":[167],"Average":[168],"Precision":[169],"(mAP)":[170],"90.5%":[172],"94.3%.":[174],"addition,":[176],"parameters":[178],"are":[179],"effectively":[180],"reduced,":[181],"achieving":[182],"good":[184],"balance":[185],"between":[186],"speed":[188],"accuracy.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}