{"id":"https://openalex.org/W4379806080","doi":"https://doi.org/10.1109/jurse57346.2023.10144214","title":"Oriented aircraft object detector using Scaled YOLOv4 on very high resolution satellite and synthetic datasets","display_name":"Oriented aircraft object detector using Scaled YOLOv4 on very high resolution satellite and synthetic datasets","publication_year":2023,"publication_date":"2023-05-17","ids":{"openalex":"https://openalex.org/W4379806080","doi":"https://doi.org/10.1109/jurse57346.2023.10144214"},"language":"en","primary_location":{"id":"doi:10.1109/jurse57346.2023.10144214","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/jurse57346.2023.10144214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Joint Urban Remote Sensing Event (JURSE)","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/A5041214093","display_name":"Benjamin Palmaerts","orcid":"https://orcid.org/0000-0003-2762-4334"},"institutions":[{"id":"https://openalex.org/I4210104855","display_name":"Institut Scientifique de Service Public","ror":"https://ror.org/01gcdtm70","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210104855"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Palmaerts Benjamin","raw_affiliation_strings":["Institut Scientifique de Service Public (ISSeP),Remote Sensing and Geodata Unit,Li&#x00E8;ge,Belgium"],"affiliations":[{"raw_affiliation_string":"Institut Scientifique de Service Public (ISSeP),Remote Sensing and Geodata Unit,Li&#x00E8;ge,Belgium","institution_ids":["https://openalex.org/I4210104855"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082016094","display_name":"Benjamin Beaumont","orcid":"https://orcid.org/0000-0003-1518-161X"},"institutions":[{"id":"https://openalex.org/I4210104855","display_name":"Institut Scientifique de Service Public","ror":"https://ror.org/01gcdtm70","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210104855"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Beaumont Benjamin","raw_affiliation_strings":["Institut Scientifique de Service Public (ISSeP),Remote Sensing and Geodata Unit,Li&#x00E8;ge,Belgium"],"affiliations":[{"raw_affiliation_string":"Institut Scientifique de Service Public (ISSeP),Remote Sensing and Geodata Unit,Li&#x00E8;ge,Belgium","institution_ids":["https://openalex.org/I4210104855"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092114849","display_name":"Graur Dimitri","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104855","display_name":"Institut Scientifique de Service Public","ror":"https://ror.org/01gcdtm70","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210104855"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Graur Dimitri","raw_affiliation_strings":["Institut Scientifique de Service Public (ISSeP),Remote Sensing and Geodata Unit,Li&#x00E8;ge,Belgium"],"affiliations":[{"raw_affiliation_string":"Institut Scientifique de Service Public (ISSeP),Remote Sensing and Geodata Unit,Li&#x00E8;ge,Belgium","institution_ids":["https://openalex.org/I4210104855"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112932173","display_name":"Swinnen G\u00e9rard","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104855","display_name":"Institut Scientifique de Service Public","ror":"https://ror.org/01gcdtm70","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210104855"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Swinnen G\u00e9rard","raw_affiliation_strings":["Institut Scientifique de Service Public (ISSeP),Remote Sensing and Geodata Unit,Li&#x00E8;ge,Belgium"],"affiliations":[{"raw_affiliation_string":"Institut Scientifique de Service Public (ISSeP),Remote Sensing and Geodata Unit,Li&#x00E8;ge,Belgium","institution_ids":["https://openalex.org/I4210104855"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049604539","display_name":"\u00c9ric Hallot","orcid":"https://orcid.org/0000-0003-0579-9459"},"institutions":[{"id":"https://openalex.org/I4210104855","display_name":"Institut Scientifique de Service Public","ror":"https://ror.org/01gcdtm70","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210104855"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Hallot Eric","raw_affiliation_strings":["Institut Scientifique de Service Public (ISSeP),Remote Sensing and Geodata Unit,Li&#x00E8;ge,Belgium"],"affiliations":[{"raw_affiliation_string":"Institut Scientifique de Service Public (ISSeP),Remote Sensing and Geodata Unit,Li&#x00E8;ge,Belgium","institution_ids":["https://openalex.org/I4210104855"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041214093"],"corresponding_institution_ids":["https://openalex.org/I4210104855"],"apc_list":null,"apc_paid":null,"fwci":0.246,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50214069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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":0.9993000030517578,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9908999800682068,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7863984704017639},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6787787675857544},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.6516833305358887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6138784885406494},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6134358048439026},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6044477224349976},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5976009964942932},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.48431530594825745},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4802289605140686},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45390617847442627},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44887661933898926},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.42602285742759705},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2924994230270386},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09015491604804993},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.08858153223991394},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07953384518623352}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7863984704017639},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6787787675857544},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.6516833305358887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6138784885406494},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6134358048439026},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6044477224349976},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5976009964942932},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.48431530594825745},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4802289605140686},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45390617847442627},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44887661933898926},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.42602285742759705},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2924994230270386},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09015491604804993},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.08858153223991394},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07953384518623352},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jurse57346.2023.10144214","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/jurse57346.2023.10144214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Joint Urban Remote Sensing Event (JURSE)","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":16,"referenced_works":["https://openalex.org/W2183341477","https://openalex.org/W2308318555","https://openalex.org/W2606006540","https://openalex.org/W2765407302","https://openalex.org/W2963037989","https://openalex.org/W2992308087","https://openalex.org/W3018757597","https://openalex.org/W3118843071","https://openalex.org/W3180134609","https://openalex.org/W4210743160","https://openalex.org/W4229447109","https://openalex.org/W4292319860","https://openalex.org/W6686164453","https://openalex.org/W6745136726","https://openalex.org/W6777046832","https://openalex.org/W6779107780"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4304166257","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W3034745255","https://openalex.org/W4254103348"],"abstract_inverted_index":{"We":[0,78],"propose":[1],"a":[2,46,85],"deep":[3,38],"learning":[4,39],"solution":[5],"in":[6],"the":[7,10,35,98],"frame":[8],"of":[9,12,76,88,100],"management":[11],"airport":[13],"ground":[14],"flows.":[15],"The":[16],"developed":[17],"tool":[18],"aims":[19],"to":[20,44,61,84,97],"automatically":[21],"detect":[22,62],"aircrafts":[23],"on":[24,34,51,66],"satellite":[25],"imagery":[26],"at":[27],"very":[28,58],"high":[29],"resolution":[30],"(<1m).":[31],"It":[32],"relies":[33],"Scaled":[36],"YOLOv4":[37],"model":[40,56],"which":[41],"has":[42],"proven":[43],"be":[45],"good":[47,59],"object":[48],"detector.":[49],"Trained":[50],"open-source":[52],"annotated":[53,93],"datasets,":[54],"our":[55],"shows":[57],"performance":[60],"common":[63],"commercial":[64],"airplanes":[65],"Pl\u00e9iades":[67,89,104],"images,":[68],"but":[69],"misses":[70],"small":[71],"planes":[72],"or":[73],"other":[74],"types":[75],"aircrafts.":[77,109],"indicate":[79],"several":[80],"possible":[81],"improvements,":[82],"thanks":[83,96],"large":[86],"dataset":[87],"images":[90,102],"that":[91],"we":[92],"ourselves":[94],"and":[95],"production":[99],"synthetic":[101],"combining":[103],"data":[105],"with":[106],"artificial":[107],"superimposed":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
