{"id":"https://openalex.org/W2554425781","doi":"https://doi.org/10.1109/ijcnn.2016.7727523","title":"Airport detection from remote sensing images using transferable convolutional neural networks","display_name":"Airport detection from remote sensing images using transferable convolutional neural networks","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2554425781","doi":"https://doi.org/10.1109/ijcnn.2016.7727523","mag":"2554425781"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"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/A5102005834","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0002-5710-165X"},"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":"Peng Zhang","raw_affiliation_strings":["National Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101665348","display_name":"Xin Niu","orcid":null},"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":"Xin Niu","raw_affiliation_strings":["National Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051680867","display_name":"Yong Dou","orcid":"https://orcid.org/0000-0002-1256-8934"},"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":"Yong Dou","raw_affiliation_strings":["National Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100676785","display_name":"Fei Xia","orcid":"https://orcid.org/0000-0003-4343-1444"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Xia","raw_affiliation_strings":["Electronic Engineering College, Navy Engineering University Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Engineering College, Navy Engineering University Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9593,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.96338028,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"2590","last_page":"2595"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9994999766349792,"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":0.9990000128746033,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9975000023841858,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8429727554321289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8052499294281006},{"id":"https://openalex.org/keywords/runway","display_name":"Runway","score":0.7523684501647949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5811992883682251},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4881375730037689},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.47577229142189026},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4706254005432129},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.45487698912620544},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44473928213119507},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4265791177749634},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4189901053905487},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41106146574020386},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09222355484962463},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08198034763336182},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07262459397315979}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8429727554321289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8052499294281006},{"id":"https://openalex.org/C81155309","wikidata":"https://www.wikidata.org/wiki/Q184590","display_name":"Runway","level":2,"score":0.7523684501647949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5811992883682251},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4881375730037689},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.47577229142189026},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4706254005432129},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.45487698912620544},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44473928213119507},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4265791177749634},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4189901053905487},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41106146574020386},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09222355484962463},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08198034763336182},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07262459397315979},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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/W1480746830","https://openalex.org/W1983364832","https://openalex.org/W2013824973","https://openalex.org/W2016053056","https://openalex.org/W2027282554","https://openalex.org/W2051936565","https://openalex.org/W2053506196","https://openalex.org/W2054590493","https://openalex.org/W2068236198","https://openalex.org/W2068742603","https://openalex.org/W2079491486","https://openalex.org/W2095905764","https://openalex.org/W2156953558","https://openalex.org/W2161969291","https://openalex.org/W2306050440","https://openalex.org/W6663942692"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3183901164","https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3192840557","https://openalex.org/W3167935049"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,49,73,91],"method":[4,68,86],"for":[5],"airport":[6,60],"detection":[7,21],"from":[8,54,62,90],"optical":[9],"satellite":[10],"images":[11],"using":[12],"deep":[13],"convolutional":[14],"neural":[15],"networks":[16],"(CNN).":[17],"To":[18],"achieve":[19],"fast":[20],"with":[22,40,97],"high":[23],"accuracy,":[24],"region":[25],"proposal":[26],"by":[27,48],"searching":[28],"adjacent":[29],"parallel":[30],"line":[31],"segments":[32],"has":[33,69],"been":[34,70],"applied":[35],"to":[36,56],"select":[37],"candidate":[38],"fields":[39],"potential":[41],"runways.":[42],"These":[43],"proposals":[44],"were":[45],"further":[46],"classified":[47],"CNN":[50],"model":[51],"transfer":[52],"learned":[53],"AlexNet":[55],"identify":[57],"the":[58,84],"final":[59],"regions":[61],"other":[63],"confusing":[64],"classes.":[65],"The":[66],"proposed":[67,85],"tested":[71],"on":[72],"remote":[74],"sensing":[75],"dataset":[76],"consisting":[77],"of":[78,100],"120":[79],"airports.":[80],"Experiments":[81],"showed":[82],"that":[83],"could":[87],"recognize":[88],"airports":[89],"large":[92],"complex":[93],"area":[94],"in":[95],"seconds":[96],"an":[98],"accuracy":[99],"84.1%.":[101]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}