{"id":"https://openalex.org/W4392902708","doi":"https://doi.org/10.1109/jstars.2024.3376558","title":"DBW-YOLO: A High-Precision SAR Ship Detection Method for Complex Environments","display_name":"DBW-YOLO: A High-Precision SAR Ship Detection Method for Complex Environments","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392902708","doi":"https://doi.org/10.1109/jstars.2024.3376558"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3376558","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3376558","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10468641.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10468641.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101755926","display_name":"Xiao Tang","orcid":"https://orcid.org/0000-0003-1765-4150"},"institutions":[{"id":"https://openalex.org/I91935597","display_name":"University of South China","ror":"https://ror.org/03mqfn238","country_code":"CN","type":"education","lineage":["https://openalex.org/I91935597"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao Tang","raw_affiliation_strings":["School of Mechanical Engineering, University of South China, Hengyang, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of South China, Hengyang, China","institution_ids":["https://openalex.org/I91935597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104260034","display_name":"Jiufeng Zhang","orcid":"https://orcid.org/0009-0005-7431-5990"},"institutions":[{"id":"https://openalex.org/I91935597","display_name":"University of South China","ror":"https://ror.org/03mqfn238","country_code":"CN","type":"education","lineage":["https://openalex.org/I91935597"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiufeng Zhang","raw_affiliation_strings":["School of Mechanical Engineering, University of South China, Hengyang, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of South China, Hengyang, China","institution_ids":["https://openalex.org/I91935597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086997459","display_name":"Yunzhi Xia","orcid":"https://orcid.org/0000-0002-6734-1841"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]},{"id":"https://openalex.org/I91935597","display_name":"University of South China","ror":"https://ror.org/03mqfn238","country_code":"CN","type":"education","lineage":["https://openalex.org/I91935597"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunzhi Xia","raw_affiliation_strings":["School of Electrical Engineering, University of South China, Hengyang, China","School of Cyber Science and Engineering, Huazhong University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University of South China, Hengyang, China","institution_ids":["https://openalex.org/I91935597"]},{"raw_affiliation_string":"School of Cyber Science and Engineering, Huazhong University of Science and Technology, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068755835","display_name":"H. L. Xiao","orcid":"https://orcid.org/0009-0000-5735-1002"},"institutions":[{"id":"https://openalex.org/I91935597","display_name":"University of South China","ror":"https://ror.org/03mqfn238","country_code":"CN","type":"education","lineage":["https://openalex.org/I91935597"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanlin Xiao","raw_affiliation_strings":["School of Mechanical Engineering, University of South China, Hengyang, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of South China, Hengyang, China","institution_ids":["https://openalex.org/I91935597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101755926"],"corresponding_institution_ids":["https://openalex.org/I91935597"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":91.3976,"has_fulltext":true,"cited_by_count":66,"citation_normalized_percentile":{"value":0.99960847,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"17","issue":null,"first_page":"7029","last_page":"7039"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9968000054359436,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9886000156402588,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8231101036071777},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6046811938285828},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5813357830047607},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5455668568611145},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5205425024032593},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49831271171569824},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49169307947158813},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4826119840145111},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3666566014289856},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3313808739185333},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.26274800300598145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1996191143989563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8231101036071777},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6046811938285828},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5813357830047607},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5455668568611145},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5205425024032593},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49831271171569824},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49169307947158813},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4826119840145111},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3666566014289856},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3313808739185333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26274800300598145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1996191143989563},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3376558","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3376558","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10468641.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a5c9468e5e6a4d6dbc2b58731b9014f3","is_oa":true,"landing_page_url":"https://doaj.org/article/a5c9468e5e6a4d6dbc2b58731b9014f3","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7029-7039 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3376558","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3376558","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10468641.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2304265455","display_name":null,"funder_award_id":"2020JJ5483","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G3082635587","display_name":null,"funder_award_id":"62302205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3588824660","display_name":null,"funder_award_id":"41904163","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6330607538","display_name":null,"funder_award_id":"23022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","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"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392902708.pdf","grobid_xml":"https://content.openalex.org/works/W4392902708.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2102605133","https://openalex.org/W2144158572","https://openalex.org/W2565639579","https://openalex.org/W2601564443","https://openalex.org/W2752782242","https://openalex.org/W2774244034","https://openalex.org/W2809395972","https://openalex.org/W2892123021","https://openalex.org/W2920026528","https://openalex.org/W2962766617","https://openalex.org/W2963037989","https://openalex.org/W2982770724","https://openalex.org/W2990763144","https://openalex.org/W3012162230","https://openalex.org/W3023931079","https://openalex.org/W3038948729","https://openalex.org/W3134517928","https://openalex.org/W3172087149","https://openalex.org/W3177052299","https://openalex.org/W3178367256","https://openalex.org/W3194790201","https://openalex.org/W3199795887","https://openalex.org/W3200726353","https://openalex.org/W3200733355","https://openalex.org/W3208019692","https://openalex.org/W4281790833","https://openalex.org/W4285157008","https://openalex.org/W4289752563","https://openalex.org/W4312277507","https://openalex.org/W4313886592","https://openalex.org/W4318255578","https://openalex.org/W4321792397","https://openalex.org/W4322730913","https://openalex.org/W4365513629","https://openalex.org/W4385245566","https://openalex.org/W4385422915","https://openalex.org/W4386075524","https://openalex.org/W4386076222","https://openalex.org/W4386076325","https://openalex.org/W4387623812","https://openalex.org/W6838547440","https://openalex.org/W6849535052"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2952760143","https://openalex.org/W2017776670","https://openalex.org/W2347897961","https://openalex.org/W2340870721","https://openalex.org/W2358318464","https://openalex.org/W2979236518","https://openalex.org/W3091955004"],"abstract_inverted_index":{"Synthetic":[0],"aperture":[1],"radar":[2],"(SAR)":[3],"is":[4,61,87,110,117,140],"widely":[5],"used":[6],"for":[7,189],"ship":[8,47,97,225],"target":[9,48],"detection":[10,49,114,226],"with":[11,28],"the":[12,31,71,144,149,156,176,197,209],"application":[13],"of":[14,33,70,178,202],"deep":[15],"learning":[16],"techniques.":[17],"However,":[18],"in":[19,63,228],"certain":[20],"complex":[21],"environments":[22],"such":[23],"as":[24,57],"near":[25,122,169],"shore":[26,123,170],"or":[27],"small":[29,126,172],"ships,":[30],"problem":[32],"false":[34],"alarms":[35],"and":[36,125,152,171,185,206,211,231],"missed":[37],"detections":[38],"still":[39],"exists.":[40],"To":[41,174],"address":[42],"these":[43],"issues,":[44],"a":[45,76,129,160],"high-precision":[46],"method":[50,68,104,158,220],"named":[51],"DBW-YOLO,":[52],"which":[53,116,147],"builds":[54],"upon":[55],"YOLOv7-tiny":[56],"its":[58],"foundational":[59],"network,":[60],"proposed":[62,67,111,141],"this":[64,179],"paper.":[65],"The":[66,215],"consists":[69],"following":[72],"main":[73],"steps.":[74],"Firstly,":[75],"feature":[77,93,102],"extraction":[78],"enhancement":[79],"network":[80,85],"based":[81,105,134],"on":[82,106,135,208],"deformable":[83],"convolution":[84],"(DCNet)":[86],"introduced":[88],"to":[89,112,120,142,193],"obtain":[90],"more":[91,118,161],"comprehensive":[92],"representations":[94],"across":[95],"various":[96],"types.":[98],"Secondly,":[99],"an":[100],"adaptive":[101],"recognition":[103],"BiFormer":[107],"attention":[108],"mechanism":[109,139],"strengthen":[113],"accuracy,":[115],"beneficial":[119],"capture":[121],"ships":[124],"ships.":[127,173],"Thirdly,":[128],"Wise":[130],"Intersection-over-Union":[131],"(Wise":[132],"IoU)":[133],"dynamic":[136],"non-monotonic":[137],"focusing":[138],"generate":[143],"loss":[145],"function,":[146],"improves":[148],"convergence":[150],"speed":[151],"generalization":[153],"ability.":[154],"Consequently,":[155],"DBW-YOLO":[157,203,219],"trains":[159],"robust":[162],"model":[163],"that":[164,218],"better":[165],"utilizes":[166],"samples":[167],"from":[168],"verify":[175],"effectiveness":[177],"method,":[180],"two":[181],"SAR":[182,224],"datasets,":[183,213],"HRSID":[184,210],"SSDD,":[186],"are":[187],"employed":[188],"performance":[190],"evaluation.":[191],"Compared":[192],"other":[194,222],"widely-used":[195],"methods,":[196],"<italic":[198],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[199],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">mAP</i>":[200],"value":[201],"reachs":[204],"88.84%":[205],"99.18%":[207],"SSDD":[212],"respectively.":[214],"findings":[216],"indicate":[217],"outperforms":[221],"representative":[223],"methods":[227],"both":[229],"accuracy":[230],"overall":[232],"performance.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":40},{"year":2024,"cited_by_count":15}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}