{"id":"https://openalex.org/W2787630273","doi":"https://doi.org/10.3390/rs10010139","title":"End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images","display_name":"End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images","publication_year":2018,"publication_date":"2018-01-18","ids":{"openalex":"https://openalex.org/W2787630273","doi":"https://doi.org/10.3390/rs10010139","mag":"2787630273"},"language":"en","primary_location":{"id":"doi:10.3390/rs10010139","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10010139","pdf_url":"https://www.mdpi.com/2072-4292/10/1/139/pdf?version=1516294846","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/10/1/139/pdf?version=1516294846","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100430408","display_name":"Zhong Chen","orcid":"https://orcid.org/0000-0002-1473-2224"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]},{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Chen","raw_affiliation_strings":["Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Luoyu Road 1037, Wuhan 430074, China","National Key Laboratory of Science and Technology on Multi-spectral Information Processing, Luoyu Road 1037, Wuhan 430074, China","School of Automation, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Luoyu Road 1037, Wuhan 430074, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multi-spectral Information Processing, Luoyu Road 1037, Wuhan 430074, China","institution_ids":[]},{"raw_affiliation_string":"School of Automation, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan 430074, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738839","display_name":"Ting Zhang","orcid":"https://orcid.org/0000-0002-1899-1784"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Zhang","raw_affiliation_strings":["Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Luoyu Road 1037, Wuhan 430074, China","National Key Laboratory of Science and Technology on Multi-spectral Information Processing, Luoyu Road 1037, Wuhan 430074, China","School of Automation, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Luoyu Road 1037, Wuhan 430074, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multi-spectral Information Processing, Luoyu Road 1037, Wuhan 430074, China","institution_ids":[]},{"raw_affiliation_string":"School of Automation, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan 430074, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101042633","display_name":"Chao Ouyang","orcid":"https://orcid.org/0000-0002-2266-1235"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Ouyang","raw_affiliation_strings":["Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Luoyu Road 1037, Wuhan 430074, China","National Key Laboratory of Science and Technology on Multi-spectral Information Processing, Luoyu Road 1037, Wuhan 430074, China","School of Automation, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Luoyu Road 1037, Wuhan 430074, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multi-spectral Information Processing, Luoyu Road 1037, Wuhan 430074, China","institution_ids":[]},{"raw_affiliation_string":"School of Automation, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan 430074, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101042633"],"corresponding_institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I47720641"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":14.0859,"has_fulltext":false,"cited_by_count":193,"citation_normalized_percentile":{"value":0.99553029,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"10","issue":"1","first_page":"139","last_page":"139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9987999796867371,"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":0.9987000226974487,"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":0.9973000288009644,"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":0.8116828203201294},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7618215084075928},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.7273723483085632},{"id":"https://openalex.org/keywords/airplane","display_name":"Airplane","score":0.6629507541656494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6596254706382751},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6564270853996277},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6412720680236816},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6128080487251282},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5277203917503357},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46244436502456665},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3795607388019562},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36004945635795593}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8116828203201294},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7618215084075928},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7273723483085632},{"id":"https://openalex.org/C2781407631","wikidata":"https://www.wikidata.org/wiki/Q197","display_name":"Airplane","level":2,"score":0.6629507541656494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6596254706382751},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6564270853996277},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6412720680236816},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6128080487251282},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5277203917503357},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46244436502456665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3795607388019562},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36004945635795593},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs10010139","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10010139","pdf_url":"https://www.mdpi.com/2072-4292/10/1/139/pdf?version=1516294846","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2992ed0b3a144c40a60f1cd3cfd333f9","is_oa":true,"landing_page_url":"https://doaj.org/article/2992ed0b3a144c40a60f1cd3cfd333f9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 10, Iss 1, p 139 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/10/1/139/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs10010139","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 10; Issue 1; Pages: 139","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs10010139","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10010139","pdf_url":"https://www.mdpi.com/2072-4292/10/1/139/pdf?version=1516294846","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2787630273.pdf","grobid_xml":"https://content.openalex.org/works/W2787630273.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W1958328135","https://openalex.org/W1991367009","https://openalex.org/W2010181071","https://openalex.org/W2013081398","https://openalex.org/W2031489346","https://openalex.org/W2046382188","https://openalex.org/W2062218835","https://openalex.org/W2066624635","https://openalex.org/W2097117768","https://openalex.org/W2099047584","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2109255472","https://openalex.org/W2126446754","https://openalex.org/W2151103935","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2294631366","https://openalex.org/W2607013913","https://openalex.org/W2613718673","https://openalex.org/W2963037989","https://openalex.org/W3106250896","https://openalex.org/W6683411478"],"related_works":["https://openalex.org/W2493838176","https://openalex.org/W4297686120","https://openalex.org/W3177249605","https://openalex.org/W3183901164","https://openalex.org/W4376620596","https://openalex.org/W2534152068","https://openalex.org/W4299545679","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3167935049"],"abstract_inverted_index":{"Airplane":[0],"detection":[1,26,34,89,103,111,168],"in":[2,36,112],"remote":[3,113,123,189,212],"sensing":[4,114,124,190,213],"images":[5,191],"remains":[6],"a":[7,64,78,84,141],"challenging":[8],"problem":[9],"due":[10],"to":[11,62,71,91,118,151,170],"the":[12,20,41,55,73,93,181,203],"complexity":[13],"of":[14,22,58,67,87,122,192],"backgrounds.":[15],"In":[16,97,116,184],"recent":[17],"years,":[18],"with":[19],"development":[21,60],"deep":[23,74,107,143],"learning,":[24],"object":[25,33,102,214],"has":[27],"also":[28,135],"obtained":[29],"great":[30],"breakthroughs.":[31],"For":[32],"tasks":[35],"natural":[37],"images,":[38,125],"such":[39],"as":[40,77],"PASCAL":[42],"(Pattern":[43],"Analysis,":[44],"Statistical":[45],"Modelling":[46],"and":[47,81,139,147,158,209],"Computational":[48],"Learning)":[49],"VOC":[50],"(Visual":[51],"Object":[52],"Classes)":[53],"Challenge,":[54],"major":[56],"trend":[57],"current":[59],"is":[61,206],"use":[63,83,101,136,188],"large":[65],"amount":[66,86],"labeled":[68],"classification":[69],"data":[70,90,128],"pre-train":[72],"neural":[75,145],"network":[76,94,146],"base":[79],"network,":[80],"then":[82],"small":[85],"annotated":[88],"fine-tune":[92],"for":[95,109,173,180,211],"detection.":[96,156,215],"this":[98],"paper,":[99],"we":[100,187],"technology":[104],"based":[105],"on":[106],"learning":[108,138],"airplane":[110,155],"images.":[115],"addition":[117],"using":[119],"some":[120,126],"characteristics":[121],"new":[127],"augmentation":[129],"techniques":[130],"have":[131],"been":[132],"proposed.":[133],"We":[134],"transfer":[137],"adopt":[140],"single":[142],"convolutional":[144],"limited":[148],"training":[149],"samples":[150],"implement":[152],"end-to-end":[153,167],"trainable":[154],"Classification":[157],"positioning":[159],"are":[160],"no":[161],"longer":[162],"divided":[163],"into":[164],"multistage":[165],"tasks;":[166],"attempts":[169],"combine":[171],"them":[172],"optimization,":[174],"which":[175],"ensures":[176],"an":[177],"optimal":[178],"solution":[179],"final":[182],"stage.":[183],"our":[185],"experiment,":[186],"airports":[193],"collected":[194],"from":[195],"Google":[196],"Earth.":[197],"The":[198],"experimental":[199],"results":[200],"show":[201],"that":[202],"proposed":[204],"algorithm":[205],"highly":[207],"accurate":[208],"meaningful":[210]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":34},{"year":2021,"cited_by_count":38},{"year":2020,"cited_by_count":38},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
