{"id":"https://openalex.org/W4407237170","doi":"https://doi.org/10.1145/3708778.3708785","title":"DSP-YOLO: A SAR Ship Detection Algorithm for Multiscale Sequence Fusion Based on Fusion Attention","display_name":"DSP-YOLO: A SAR Ship Detection Algorithm for Multiscale Sequence Fusion Based on Fusion Attention","publication_year":2024,"publication_date":"2024-11-22","ids":{"openalex":"https://openalex.org/W4407237170","doi":"https://doi.org/10.1145/3708778.3708785"},"language":"en","primary_location":{"id":"doi:10.1145/3708778.3708785","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3708778.3708785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Computational Intelligence and Intelligent Systems","raw_type":"proceedings-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":null,"display_name":"Zhihao Huang","orcid":"https://orcid.org/0009-0006-1649-3489"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Huang","raw_affiliation_strings":["Guangzhou University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0006-1649-3489","affiliations":[{"raw_affiliation_string":"Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016584004","display_name":"Wenli Shang","orcid":"https://orcid.org/0000-0001-6022-5381"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenli Shang","raw_affiliation_strings":["Guangzhou University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6022-5381","affiliations":[{"raw_affiliation_string":"Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37987034"],"apc_list":null,"apc_paid":null,"fwci":3.716,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.94187252,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"44","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9944000244140625,"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":0.9944000244140625,"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":0.9936000108718872,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9866999983787537,"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/fusion","display_name":"Fusion","score":0.7020847797393799},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6452257633209229},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5178049802780151},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.5070590972900391},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.500319242477417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48755139112472534},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46660277247428894},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3805055618286133},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.10597437620162964}],"concepts":[{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.7020847797393799},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6452257633209229},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5178049802780151},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.5070590972900391},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.500319242477417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48755139112472534},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46660277247428894},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3805055618286133},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.10597437620162964},{"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},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3708778.3708785","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3708778.3708785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Computational Intelligence and Intelligent Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2616247523","https://openalex.org/W2962766617","https://openalex.org/W2966926453","https://openalex.org/W2997747012","https://openalex.org/W3122173535","https://openalex.org/W3177052299","https://openalex.org/W3177525997","https://openalex.org/W3200733355","https://openalex.org/W4318255578","https://openalex.org/W4318954087","https://openalex.org/W4365513629","https://openalex.org/W4380080321","https://openalex.org/W4385834442","https://openalex.org/W4387449264","https://openalex.org/W4388915117","https://openalex.org/W4390663516","https://openalex.org/W4391768380","https://openalex.org/W4392694113","https://openalex.org/W4404090460","https://openalex.org/W6600281463","https://openalex.org/W6628973269"],"related_works":["https://openalex.org/W2390348052","https://openalex.org/W2065566231","https://openalex.org/W2390600871","https://openalex.org/W2363399630","https://openalex.org/W2148867666","https://openalex.org/W2074772664","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"The":[0,66,73,98,188],"widespread":[1],"application":[2],"of":[3,11,21,35,95,101,119,131,185,194,200,248,252],"synthetic":[4],"aperture":[5],"radar":[6],"(SAR)":[7],"in":[8,153,159,197,246],"the":[9,19,32,36,63,89,112,116,120,129,142,175,181,186,198,209,221,231,236,240],"domains":[10],"marine":[12],"security":[13],"and":[14,43,81,91,127,155,166,177,183,208,224,250],"maritime":[15],"traffic":[16],"control":[17],"ensures":[18],"criticality":[20],"ship":[22,59],"detection.":[23,139],"Nevertheless,":[24],"it":[25],"still":[26],"faces":[27],"persistent":[28],"challenges":[29],"due":[30],"to":[31,87,168,206,227],"small":[33,137],"size":[34,152],"ship,":[37],"high":[38,218],"noise":[39],"level,":[40],"multiple":[41],"targets,":[42],"scale":[44],"variations.":[45],"In":[46,140],"this":[47],"paper,":[48],"we":[49],"propose":[50],"a":[51,102,147,156,192],"fusion":[52,57],"attention":[53,83],"based":[54,108],"multi-scale":[55],"sequence":[56],"SAR":[58,96,238],"detection":[60],"algorithm":[61,68,242],"called":[62],"DSP-YOLO":[64,241],"algorithm.":[65],"proposed":[67],"contains":[69],"several":[70],"key":[71],"improvements.":[72],"C2f-DCNv2-Dynamic":[74],"module,":[75],"incorporating":[76],"deformable":[77],"convnets":[78],"v2":[79],"(DCNv2)":[80],"coordinate":[82],"(CA),":[84],"is":[85,211],"introduced":[86],"optimize":[88],"spatial":[90],"shape":[92],"feature":[93,133],"extraction":[94,130],"ships.":[97],"neck":[99,113],"structure":[100],"novel":[103],"Attentional":[104],"Scale":[105],"Sequence":[106],"Fusion":[107],"YOLO(ASF-YOLO),":[109],"integrated":[110],"into":[111],"layer,":[114],"optimizes":[115],"network":[117],"architecture":[118],"P2":[121],"sampling":[122],"layer":[123],"by":[124,213,225],"reducing":[125],"parameters":[126],"enhancing":[128],"raw":[132],"information,":[134],"thus":[135],"improving":[136],"target":[138,151,170],"addition,":[141],"Inner-PIoUv2":[143],"loss":[144],"function,":[145],"featuring":[146],"penalization":[148],"mechanism":[149],"for":[150],"PIoUv2":[154],"scaling":[157],"factor":[158],"Inner-IoU,":[160],"efficiently":[161],"guides":[162],"anchor":[163],"box":[164],"regression":[165],"adapts":[167],"varying":[169],"sizes.":[171],"Extensive":[172],"testing":[173],"on":[174,220,230],"SSDD":[176,222],"RSDD-SAR":[178,232],"datasets":[179],"confirms":[180],"reliability":[182],"robustness":[184],"models.":[187],"experimental":[189],"results":[190],"demonstrate":[191],"reduction":[193],"approximately":[195],"1/6":[196],"number":[199,251],"parameters,":[201],"reaching":[202,215],"2.59":[203],"million":[204],"compared":[205],"YOLOv8n,":[207],"mAP50":[210],"improved":[212],"0.9%,":[214],"99%":[216],"with":[217,235],"accuracy":[219,249],"dataset,":[223],"0.4%":[226],"reach":[228],"97.4%":[229],"dataset.":[233],"Compared":[234],"existing":[237],"algorithms,":[239],"shows":[243],"excellent":[244],"performance":[245],"terms":[247],"parameters.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}