{"id":"https://openalex.org/W2948656358","doi":"https://doi.org/10.1109/tgrs.2019.2912985","title":"Scene Context-Driven Vehicle Detection in High-Resolution Aerial Images","display_name":"Scene Context-Driven Vehicle Detection in High-Resolution Aerial Images","publication_year":2019,"publication_date":"2019-06-03","ids":{"openalex":"https://openalex.org/W2948656358","doi":"https://doi.org/10.1109/tgrs.2019.2912985","mag":"2948656358"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2019.2912985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2912985","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5073640524","display_name":"Chao Tao","orcid":"https://orcid.org/0000-0003-0071-310X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Tao","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-0071-310X","affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453887","display_name":"Mi Li","orcid":"https://orcid.org/0000-0002-4886-2430"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Mi","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-4886-2430","affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yansheng Li","orcid":"https://orcid.org/0000-0001-8985-3541"},"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":"Yansheng Li","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-8985-3541","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002710782","display_name":"Ji Qi","orcid":"https://orcid.org/0000-0001-7948-579X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Qi","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-7948-579X","affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019701501","display_name":"Xiao Yuan","orcid":"https://orcid.org/0000-0003-3590-1805"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Xiao","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100628333","display_name":"Jiaxing Zhang","orcid":"https://orcid.org/0000-0002-1324-6486"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxing Zhang","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-1324-6486","affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3557,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.94049475,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"57","issue":"10","first_page":"7339","last_page":"7351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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":0.9995999932289124,"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":0.8221313953399658},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7909128665924072},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7356358766555786},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6710094809532166},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6086285710334778},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.596087634563446},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.548633337020874},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.5314995646476746},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.5242162942886353},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4966936707496643},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4609982967376709},{"id":"https://openalex.org/keywords/aerial-imagery","display_name":"Aerial imagery","score":0.4233478903770447},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4225926101207733},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34941935539245605},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33203601837158203},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07297569513320923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8221313953399658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7909128665924072},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7356358766555786},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6710094809532166},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6086285710334778},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.596087634563446},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.548633337020874},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.5314995646476746},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.5242162942886353},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4966936707496643},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4609982967376709},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.4233478903770447},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4225926101207733},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34941935539245605},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33203601837158203},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07297569513320923},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2019.2912985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2912985","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2090819383","display_name":"\u9ad8\u5206\u8fa8\u7387\u9065\u611f\u5f71\u50cf\"\u573a\u666f-\u76ee\u6807\"\u534f\u540c\u7406\u89e3\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41771458","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2369898081","display_name":null,"funder_award_id":"2017JJ3378","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G570601002","display_name":null,"funder_award_id":"41601352","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1575060531","https://openalex.org/W1594676769","https://openalex.org/W1904073808","https://openalex.org/W1963882359","https://openalex.org/W1975424154","https://openalex.org/W1991748237","https://openalex.org/W2043552486","https://openalex.org/W2064022862","https://openalex.org/W2066916495","https://openalex.org/W2081865073","https://openalex.org/W2095537868","https://openalex.org/W2097117768","https://openalex.org/W2098676252","https://openalex.org/W2104414906","https://openalex.org/W2113047428","https://openalex.org/W2145717442","https://openalex.org/W2160072137","https://openalex.org/W2168356304","https://openalex.org/W2183182206","https://openalex.org/W2253590344","https://openalex.org/W2343118941","https://openalex.org/W2510352715","https://openalex.org/W2515866431","https://openalex.org/W2538244214","https://openalex.org/W2589137745","https://openalex.org/W2621375359","https://openalex.org/W2727875856","https://openalex.org/W2766666090","https://openalex.org/W2800388963","https://openalex.org/W2809735814","https://openalex.org/W2921243146","https://openalex.org/W3105577662","https://openalex.org/W6620707391","https://openalex.org/W6634243595"],"related_works":["https://openalex.org/W1983393909","https://openalex.org/W2040150569","https://openalex.org/W2132174924","https://openalex.org/W1911540634","https://openalex.org/W2013909972","https://openalex.org/W3110585990","https://openalex.org/W4283696875","https://openalex.org/W4385767632","https://openalex.org/W2889866244","https://openalex.org/W2898690910"],"abstract_inverted_index":{"As":[0],"the":[1,37,45,82,104,120,124],"spatial":[2,49],"resolution":[3],"of":[4,36,47,129],"remote":[5],"sensing":[6],"images":[7],"is":[8,12,23,70],"improving":[9],"gradually,":[10],"it":[11],"feasible":[13],"to":[14,112],"realize":[15],"\u201cscene-object\u201d":[16],"collaborative":[17],"image":[18,53],"interpretation.":[19],"Unfortunately,":[20],"this":[21,62,73],"idea":[22],"not":[24],"fully":[25],"utilized":[26],"in":[27,51,72,90,127],"vehicle":[28,48,57,67,98],"detection":[29,58,68,105,131],"from":[30],"high-resolution":[31],"aerial":[32],"images,":[33],"and":[34,55,92,134],"most":[35],"existing":[38],"methods":[39],"may":[40],"be":[41],"promoted":[42],"by":[43],"considering":[44],"variability":[46],"distribution":[50],"different":[52,97,108,113],"scenes":[54],"treating":[56],"tasks":[59],"scene-specific.":[60],"With":[61],"motivation,":[63],"a":[64],"scene":[65,79,114],"context-driven":[66],"method":[69,85],"proposed":[71,121],"paper.":[74],"At":[75],"first,":[76],"we":[77,101],"perform":[78],"classification":[80],"using":[81,107],"deep":[83],"learning":[84],"and,":[86],"then,":[87],"detect":[88],"vehicles":[89],"roads":[91],"parking":[93],"lots":[94],"separately":[95],"through":[96],"detectors.":[99],"Afterward,":[100],"further":[102],"optimize":[103],"results":[106,117],"postprocessing":[109],"rules":[110],"according":[111],"types.":[115],"Experimental":[116],"show":[118],"that":[119],"approach":[122],"outperforms":[123],"state-of-the-art":[125],"algorithms":[126],"terms":[128],"higher":[130],"accuracy":[132],"rate":[133],"lower":[135],"false":[136],"alarm":[137],"rate.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
