{"id":"https://openalex.org/W2060144608","doi":"https://doi.org/10.1117/12.521906","title":"Automatic aircraft object detection in aerial images","display_name":"Automatic aircraft object detection in aerial images","publication_year":2003,"publication_date":"2003-09-03","ids":{"openalex":"https://openalex.org/W2060144608","doi":"https://doi.org/10.1117/12.521906","mag":"2060144608"},"language":"en","primary_location":{"id":"doi:10.1117/12.521906","doi":"https://doi.org/10.1117/12.521906","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.521906","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5100404254","display_name":"Yingchun Li","orcid":"https://orcid.org/0000-0001-6914-7578","observed_orcids":["https://orcid.org/0000-0001-6914-7578"]},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingchun Li","raw_affiliation_strings":["Jilin Univ. (China)","Jilin University (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jilin Univ. (China)","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Jilin University (China)","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114375978","display_name":"Hexin Chen","orcid":"https://orcid.org/0000-0001-9300-0859","observed_orcids":["https://orcid.org/0000-0001-9300-0859"]},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hexin Chen","raw_affiliation_strings":["Jilin Univ. (China)","Jilin University (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jilin Univ. (China)","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Jilin University (China)","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091908043","display_name":"Yunhuan Mei","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4402554004","display_name":"People's Liberation Army Air Force","ror":"https://ror.org/04f13ze88","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210160531","https://openalex.org/I4402554004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhuan Mei","raw_affiliation_strings":["Second Aeronautical Institute of the Air Force (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Second Aeronautical Institute of the Air Force (China)","institution_ids":["https://openalex.org/I4402554004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianbo Yang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4402554004","display_name":"People's Liberation Army Air Force","ror":"https://ror.org/04f13ze88","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210160531","https://openalex.org/I4402554004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbo Yang","raw_affiliation_strings":["Second Aeronautical Institute of the Air Force (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Second Aeronautical Institute of the Air Force (China)","institution_ids":["https://openalex.org/I4402554004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100763398","display_name":"Wei Zheng","orcid":"https://orcid.org/0000-0002-4581-5647","observed_orcids":["https://orcid.org/0000-0002-4581-5647"]},"institutions":[{"id":"https://openalex.org/I4402554004","display_name":"People's Liberation Army Air Force","ror":"https://ror.org/04f13ze88","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210160531","https://openalex.org/I4402554004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zheng","raw_affiliation_strings":["Second Aeronautical Institute of the Air Force (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Second Aeronautical Institute of the Air Force (China)","institution_ids":["https://openalex.org/I4402554004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2462,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.47155376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5253","issue":null,"first_page":"547","last_page":"547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.48170000314712524,"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":0.48170000314712524,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.33059999346733093,"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":0.11270000040531158,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/aerial-images","display_name":"aerial images","score":0.9649999737739563},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"image segmentation","score":0.953000009059906},{"id":"https://openalex.org/keywords/edge-linking","display_name":"edge linking","score":0.9229999780654907},{"id":"https://openalex.org/keywords/airport-surveillance","display_name":"airport surveillance","score":0.7210000157356262},{"id":"https://openalex.org/keywords/image-denoising","display_name":"image denoising","score":0.9369999766349792},{"id":"https://openalex.org/keywords/region-based-segmentation","display_name":"region-based segmentation","score":0.38499999046325684}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.807152509689331},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8005950450897217},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.70293128490448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6923761367797852},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6918371915817261},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.6199108958244324},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5493889451026917},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5473142862319946},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.535968542098999},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5121221542358398},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.510807991027832},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5081522464752197},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.49744322896003723},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4422034025192261},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4304061532020569},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2949948310852051}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.521906","doi":"https://doi.org/10.1117/12.521906","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.521906","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322300","display_name":"Jilin University","ror":"https://ror.org/00js3aw79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1972544340","https://openalex.org/W2069119780","https://openalex.org/W2142703368","https://openalex.org/W2144219012","https://openalex.org/W2161474309"],"related_works":["https://openalex.org/W1595198823","https://openalex.org/W2351769114","https://openalex.org/W2291344829","https://openalex.org/W2039074021","https://openalex.org/W2945415963","https://openalex.org/W2092504723","https://openalex.org/W2736136227","https://openalex.org/W2155739188","https://openalex.org/W2000528553","https://openalex.org/W2108867000"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,23,55],"that":[2,30],"partitions":[3],"a":[4,86],"given":[5],"image":[6,15,82],"into":[7],"meaningful":[8],"regions":[9,62],"is":[10,40],"an":[11,58],"important":[12],"task":[13],"of":[14,24,63,73,88,96,99],"analysis":[16],"for":[17],"recognition.":[18],"This":[19],"paper":[20],"describes":[21],"the":[22,35,47,52,61,81,97],"objects":[25,33,45,64,74],"in":[26,34,46,101],"complex":[27],"aerial":[28,48,89],"images":[29,49,90],"contain":[31],"aircraft":[32,44],"airport.":[36],"The":[37,71],"proposed":[38],"approach":[39],"automatically":[41],"to":[42],"detect":[43],"based":[50],"on":[51,85],"adaptive":[53],"clustering":[54],"algorithm.":[56],"Following":[57],"edge-linking":[59],"procedure,":[60],"can":[65,75],"be":[66,76],"bounded":[67],"by":[68],"closed":[69],"boundaries.":[70],"amount":[72],"determined":[77],"before":[78],"and":[79],"after":[80],"denoise.":[83],"Experiments":[84],"variety":[87],"have":[91],"shown":[92],"correct":[93],"segmentation,":[94],"regardless":[95],"complexity":[98],"background":[100],"images.":[102]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2016-06-24T00:00:00"}