{"id":"https://openalex.org/W4404090460","doi":"https://doi.org/10.12000/jr22007","title":"RSDD-SAR: Rotated Ship Detection Dataset in SAR Images","display_name":"RSDD-SAR: Rotated Ship Detection Dataset in SAR Images","publication_year":2022,"publication_date":"2022-08-01","ids":{"openalex":"https://openalex.org/W4404090460","doi":"https://doi.org/10.12000/jr22007"},"language":"en","primary_location":{"id":"pmh:oai:doaj.org/article:150bb3f3c6484db98d682f4362e1c189","doi":"https://doi.org/10.12000/jr22007","is_oa":true,"landing_page_url":"https://doaj.org/article/150bb3f3c6484db98d682f4362e1c189","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,"listed_in":[],"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":"Leida xuebao, Vol 11, Iss 4, Pp 581-599 (2022)","raw_type":"article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doaj.org/article/150bb3f3c6484db98d682f4362e1c189","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076375500","display_name":"Congan Xu","orcid":"https://orcid.org/0000-0003-2648-7227","observed_orcids":["https://orcid.org/0000-0003-2648-7227"]},"institutions":[{"id":"https://openalex.org/I4210162215","display_name":"Naval Aeronautical and Astronautical University","ror":"https://ror.org/02j2yhq26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congan XU","raw_affiliation_strings":["Naval Aviation University, Yantai 264000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naval Aviation University, Yantai 264000, China","institution_ids":["https://openalex.org/I4210162215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003337754","display_name":"Hang Su","orcid":"https://orcid.org/0000-0002-4574-2417","observed_orcids":["https://orcid.org/0000-0002-4574-2417"]},"institutions":[{"id":"https://openalex.org/I4210162215","display_name":"Naval Aeronautical and Astronautical University","ror":"https://ror.org/02j2yhq26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang SU","raw_affiliation_strings":["Naval Aviation University, Yantai 264000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naval Aviation University, Yantai 264000, China","institution_ids":["https://openalex.org/I4210162215"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianwei LI","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianwei LI","raw_affiliation_strings":["Troops of 92877, Zhoushan 316000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Troops of 92877, Zhoushan 316000, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345691","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-0016-2902","observed_orcids":["https://orcid.org/0000-0002-0016-2902","https://orcid.org/0009-0002-6055-2790","https://orcid.org/0009-0003-4253-7121"]},"institutions":[{"id":"https://openalex.org/I4210162215","display_name":"Naval Aeronautical and Astronautical University","ror":"https://ror.org/02j2yhq26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu LIU","raw_affiliation_strings":["Naval Aviation University, Yantai 264000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naval Aviation University, Yantai 264000, China","institution_ids":["https://openalex.org/I4210162215"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Libo YAO","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210162215","display_name":"Naval Aeronautical and Astronautical University","ror":"https://ror.org/02j2yhq26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Libo YAO","raw_affiliation_strings":["Naval Aviation University, Yantai 264000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naval Aviation University, Yantai 264000, China","institution_ids":["https://openalex.org/I4210162215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104073314","display_name":"Long Gao","orcid":"https://orcid.org/0009-0005-1261-4629","observed_orcids":["https://orcid.org/0009-0005-1261-4629"]},"institutions":[{"id":"https://openalex.org/I4210162215","display_name":"Naval Aeronautical and Astronautical University","ror":"https://ror.org/02j2yhq26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long GAO","raw_affiliation_strings":["Naval Aviation University, Yantai 264000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naval Aviation University, Yantai 264000, China","institution_ids":["https://openalex.org/I4210162215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652052","display_name":"Wenjun Yan","orcid":"https://orcid.org/0000-0001-9049-9017","observed_orcids":["https://orcid.org/0000-0001-9049-9017"]},"institutions":[{"id":"https://openalex.org/I4210162215","display_name":"Naval Aeronautical and Astronautical University","ror":"https://ror.org/02j2yhq26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun YAN","raw_affiliation_strings":["Naval Aviation University, Yantai 264000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naval Aviation University, Yantai 264000, China","institution_ids":["https://openalex.org/I4210162215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004598290","display_name":"Taoyang WANG","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taoyang WANG","raw_affiliation_strings":["Wuhan University, Wuhan 430000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan 430000, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.0328,"has_fulltext":false,"cited_by_count":112,"citation_normalized_percentile":{"value":0.99268518,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.8476999998092651,"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":0.8476999998092651,"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":0.04490000009536743,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.04360000044107437,"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/synthetic-aperture-radar","display_name":"synthetic aperture radar","score":0.7720000147819519},{"id":"https://openalex.org/keywords/synthetic-aperture-radar-imagery","display_name":"synthetic aperture radar images","score":0.6890000104904175},{"id":"https://openalex.org/keywords/gaofen-3","display_name":"Gaofen-3","score":0.8240000009536743},{"id":"https://openalex.org/keywords/terrasar-x","display_name":"TerraSAR-X","score":0.9990000128746033},{"id":"https://openalex.org/keywords/multi-polarization","display_name":"multi-polarization","score":0.8109999895095825},{"id":"https://openalex.org/keywords/multiresolution","display_name":"multiresolution","score":0.7960000038146973},{"id":"https://openalex.org/keywords/rotated-object-detection","display_name":"rotated object detection","score":0.8420000076293945},{"id":"https://openalex.org/keywords/automatic-annotation","display_name":"automatic annotation","score":0.6570000052452087},{"id":"https://openalex.org/keywords/model-generalization","display_name":"model generalization","score":0.7360000014305115}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.588171124458313},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.579710841178894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47721225023269653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4268292188644409},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.37319159507751465},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36611729860305786}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:doaj.org/article:150bb3f3c6484db98d682f4362e1c189","doi":"https://doi.org/10.12000/jr22007","is_oa":true,"landing_page_url":"https://doaj.org/article/150bb3f3c6484db98d682f4362e1c189","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,"listed_in":[],"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":"Leida xuebao, Vol 11, Iss 4, Pp 581-599 (2022)","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:doaj.org/article:150bb3f3c6484db98d682f4362e1c189","doi":"https://doi.org/10.12000/jr22007","is_oa":true,"landing_page_url":"https://doaj.org/article/150bb3f3c6484db98d682f4362e1c189","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,"listed_in":[],"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":"Leida xuebao, Vol 11, Iss 4, Pp 581-599 (2022)","raw_type":"article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4200381407","https://openalex.org/W7161753301","https://openalex.org/W3200733355","https://openalex.org/W7125945065","https://openalex.org/W4407694485","https://openalex.org/W4403680386","https://openalex.org/W4393153131","https://openalex.org/W4211094136","https://openalex.org/W4408356059","https://openalex.org/W4296743665"],"abstract_inverted_index":{"This":[0,43,80],"paper":[1,145],"releases":[2],"a":[3],"rotated":[4,25,98,108],"SAR":[5,15,26,113],"ship":[6,27,71,109],"detection":[7,28,100,110],"dataset,":[8,130],"named":[9],"Rotated":[10],"Ship":[11],"Detection":[12],"Dataset":[13],"in":[14,102,112],"Images":[16],"(RSDD-SAR),":[17],"to":[18,33,158],"address":[19],"the":[20,23,35,116,121,134,162,165,175,185],"problem":[21],"that":[22,174],"existing":[24],"datasets":[29,153],"are":[30],"not":[31],"enough":[32],"meet":[34],"requirements":[36],"of":[37,46,49,55,62,73,125,164,188],"algorithm":[38,118],"development":[39],"and":[40,59,69,78,107,115,137,154,160,183],"practical":[41],"application.":[42],"dataset":[44,81,193],"consists":[45],"84":[47],"scenes":[48,54,61],"GF-3":[50],"data":[51,57],"slices,":[52,58],"41":[53],"TerraSAR-X":[56],"2":[60],"large":[63,155],"uncropped":[64,156],"images,":[65,114],"including":[66],"7,000":[67],"slices":[68],"10,263":[70],"instances":[72],"multi-observing":[74],"modes,":[75,77],"multi-polarization":[76],"multi-resolutions.":[79],"is":[82,194],"effectively":[83],"annotated":[84],"by":[85],"automatic":[86],"annotation":[87],"with":[88],"manual":[89],"correction.":[90],"Meanwhile,":[91],"experiments":[92,150],"were":[93],"conducted":[94],"for":[95],"several":[96],"popular":[97],"object":[99],"algorithms":[101,111],"optical":[103],"remote":[104],"sensing":[105],"images":[106,157],"one-stage":[117],"S2ANet":[119],"achieved":[120],"highest":[122],"average":[123],"precision":[124],"90.06%.":[126],"When":[127],"using":[128],"this":[129,144,189],"scholars":[131],"can":[132,140],"reference":[133],"experimental":[135,171],"results,":[136],"corresponding":[138],"analysis":[139],"be":[141],"used.":[142],"Finally,":[143],"conducts":[146],"generalization":[147],"ability":[148],"testing":[149],"on":[151,168,178],"other":[152],"analyze":[159],"discuss":[161],"performance":[163,182],"model":[166,176],"trained":[167,177],"RSDD-SAR.":[169],"The":[170,191],"results":[172],"show":[173],"RSDD-SAR":[179,192],"has":[180],"decent":[181],"confirms":[184],"application":[186],"value":[187],"dataset.":[190],"available":[195],"at":[196],"https://radars.ac.cn/web/data/getData?dataType=SDD-SAR.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":17},{"year":2025,"cited_by_count":35},{"year":2024,"cited_by_count":40},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":4}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-11-06T00:00:00"}