{"id":"https://openalex.org/W2774500791","doi":"https://doi.org/10.1109/igarss.2017.8127335","title":"Fast multidirectional vehicle detection on aerial images using region based convolutional neural networks","display_name":"Fast multidirectional vehicle detection on aerial images using region based convolutional neural networks","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2774500791","doi":"https://doi.org/10.1109/igarss.2017.8127335","mag":"2774500791"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8127335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5101532872","display_name":"Tianyu Tang","orcid":"https://orcid.org/0000-0002-9986-1681"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianyu Tang","raw_affiliation_strings":["National University of Defense Technology, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102837714","display_name":"Shilin Zhou","orcid":"https://orcid.org/0000-0002-8670-5292"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shilin Zhou","raw_affiliation_strings":["National University of Defense Technology, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019734741","display_name":"Zhipeng Deng","orcid":"https://orcid.org/0000-0002-8582-2040"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Deng","raw_affiliation_strings":["National University of Defense Technology, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027874662","display_name":"Lin Lei","orcid":"https://orcid.org/0000-0002-7106-5528"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Lei","raw_affiliation_strings":["National University of Defense Technology, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102721853","display_name":"Huanxin Zou","orcid":"https://orcid.org/0000-0001-7702-886X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanxin Zou","raw_affiliation_strings":["National University of Defense Technology, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101532872"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.6372,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.79120305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1844","last_page":"1847"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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":0.9994999766349792,"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":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8103078603744507},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7990580797195435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7304224967956543},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.6427292823791504},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5840204954147339},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5506187081336975},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5469375848770142},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.457100510597229},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.4442654848098755},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44290804862976074},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41502201557159424},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40785014629364014},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.4026425778865814},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30537354946136475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8103078603744507},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7990580797195435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7304224967956543},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.6427292823791504},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5840204954147339},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5506187081336975},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5469375848770142},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.457100510597229},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.4442654848098755},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44290804862976074},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41502201557159424},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40785014629364014},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.4026425778865814},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30537354946136475},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8127335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1594676769","https://openalex.org/W1849277567","https://openalex.org/W1904073808","https://openalex.org/W1972619302","https://openalex.org/W2043552486","https://openalex.org/W2064022862","https://openalex.org/W2066268896","https://openalex.org/W2066916495","https://openalex.org/W2095537868","https://openalex.org/W2096634291","https://openalex.org/W2117287331","https://openalex.org/W2134650809","https://openalex.org/W2147347568","https://openalex.org/W2155893237","https://openalex.org/W2182587296","https://openalex.org/W2183182206","https://openalex.org/W2343118941","https://openalex.org/W2522004770","https://openalex.org/W2613718673","https://openalex.org/W2950094539","https://openalex.org/W6635490608","https://openalex.org/W6639650879","https://openalex.org/W6686193389"],"related_works":["https://openalex.org/W3014558862","https://openalex.org/W4396860960","https://openalex.org/W2972256598","https://openalex.org/W4400976415","https://openalex.org/W2770255720","https://openalex.org/W4388813151","https://openalex.org/W2610408157","https://openalex.org/W2612465689","https://openalex.org/W4284972948","https://openalex.org/W4237245474"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,43,64,77,90,102,129],"coupled":[4,65],"region":[5],"based":[6,22,31,47],"convolutional":[7],"neural":[8],"networks":[9],"(R-CNN)":[10],"to":[11,67,84,109,146],"automatically":[12],"detect":[13,68],"vehicles":[14,71,117],"in":[15,53,72,118,141],"aerial":[16,74],"images.":[17,75],"Traditional":[18],"methods":[19,48],"are":[20],"mostly":[21],"on":[23,128],"sliding-window":[24],"search,":[25],"and":[26,38,115,134,143],"use":[27],"handcrafted":[28],"or":[29],"shallow-learning":[30],"features.":[32],"They":[33],"have":[34,49],"limited":[35],"description":[36],"ability":[37],"heavy":[39],"computational":[40],"costs.":[41],"Recently,":[42],"series":[44],"of":[45,98],"R-CNN":[46,66],"achieved":[50],"great":[51],"success":[52],"general":[54],"object":[55],"detection.":[56],"Inspired":[57],"by":[58,95],"the":[59,112,135],"previous":[60],"work,":[61],"we":[62],"propose":[63],"small":[69],"size":[70],"large-scale":[73],"First,":[76],"vehicle":[78,103,132,137],"proposal":[79],"network":[80,105],"(VPN)":[81],"is":[82,107,126],"proposed":[83],"generate":[85],"candidate":[86,113],"vehicle-like":[87],"regions,":[88],"using":[89],"hyper":[91],"feature":[92,96],"map":[93],"combined":[94],"maps":[97],"different":[99],"layers.":[100],"Then,":[101],"classification":[104],"(VCN)":[106],"developed":[108],"further":[110],"verify":[111],"regions":[114],"classify":[116],"eight":[119],"directions.":[120],"In":[121],"this":[122],"study,":[123],"our":[124],"method":[125],"tested":[127],"challenge":[130],"Munich":[131],"dataset":[133],"collected":[136],"dataset,":[138],"with":[139],"improvements":[140],"accuracy":[142],"speed":[144],"compared":[145],"existing":[147],"methods.":[148]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}