{"id":"https://openalex.org/W4312686292","doi":"https://doi.org/10.1109/igarss46834.2022.9884857","title":"SAR Ship Detection using YOLOv5 Algorithm with Anchor Boxes Cluster","display_name":"SAR Ship Detection using YOLOv5 Algorithm with Anchor Boxes Cluster","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312686292","doi":"https://doi.org/10.1109/igarss46834.2022.9884857"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9884857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884857","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"https://openalex.org/A5031785449","display_name":"Xiaowo Xu","orcid":"https://orcid.org/0000-0001-9977-613X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaowo Xu","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385993","display_name":"Xiaoling Zhang","orcid":"https://orcid.org/0000-0003-2343-3055"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082458788","display_name":"Tianwen Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianwen Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031785449"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.3429,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78887114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2139","last_page":"2142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11622","display_name":"Maritime Navigation and Safety","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.9692000150680542,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9161999821662903,"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/computer-science","display_name":"Computer science","score":0.6781767010688782},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5569091439247131},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45295250415802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38774964213371277},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0751979649066925}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6781767010688782},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5569091439247131},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45295250415802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38774964213371277},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0751979649066925}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9884857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884857","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2774244034","https://openalex.org/W2904480641","https://openalex.org/W2919318018","https://openalex.org/W2955454611","https://openalex.org/W2961699889","https://openalex.org/W2963785947","https://openalex.org/W3006255335","https://openalex.org/W3089780760","https://openalex.org/W3190238140","https://openalex.org/W3202192104","https://openalex.org/W3205404330","https://openalex.org/W6802261959"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W303980170","https://openalex.org/W2351491280","https://openalex.org/W2386767533","https://openalex.org/W2358471166","https://openalex.org/W2366792704","https://openalex.org/W2371447506","https://openalex.org/W3203102083","https://openalex.org/W2380878102","https://openalex.org/W4225307033"],"abstract_inverted_index":{"Recently,":[0],"in":[1,8],"the":[2,19,48,115],"maritime":[3],"monitoring":[4],"field,":[5],"ship":[6,26,30,40,74,81,91],"detection":[7,41],"synthetic":[9],"aperture":[10],"radar":[11],"(SAR)":[12],"images":[13,23,103],"has":[14],"attracted":[15],"increasing":[16],"attention.":[17],"Considering":[18],"characteristics":[20],"of":[21,101,118],"SAR":[22,80,102,125],"with":[24,133,144],"small":[25],"size":[27],"and":[28,98],"large":[29],"aspect":[31,99],"ratio,":[32],"it":[33],"is":[34],"necessary":[35],"for":[36,79],"existing":[37],"anchor":[38,45,85,107],"boxes-based":[39],"algorithm":[42],"to":[43,53,104],"generate":[44,105],"boxes":[46,50,86],"matching":[47],"ground-truth":[49],"closer.":[51],"Therefore,":[52],"tackle":[54],"this":[55],"problem,":[56],"based":[57,72],"on":[58,73,123],"You":[59],"Only":[60],"Look":[61],"Once":[62],"version":[63],"5":[64],"(YOLOv5),":[65],"we":[66],"propose":[67],"a":[68],"K-means":[69],"cluster":[70],"method":[71],"shape":[75,92],"distance":[76,93],"measure":[77,94],"(SSD-Kmeans)":[78],"detection.":[82],"Aiming":[83],"at":[84],"clustering,":[87],"SSD-Kmeans":[88,111,134],"fully":[89],"utilizes":[90],"(i.e.,":[95],"length,":[96],"width":[97],"ratio)":[100],"superior":[106],"boxes.":[108],"In":[109],"addition,":[110],"does":[112],"not":[113],"increase":[114],"model":[116],"complexity":[117],"raw":[119],"algorithm.":[120],"Experimental":[121],"results":[122],"Large-Scale":[124],"Ship":[126],"Detection":[127],"Dataset-v1.0":[128],"(LS-SSDD-v1.0)":[129],"show":[130],"that":[131],"YOLOv5":[132,143],"can":[135],"make":[136],"2.14%":[137],"Average":[138],"Precision":[139],"(AP)":[140],"improvement":[141],"than":[142],"K-means.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}