{"id":"https://openalex.org/W2732542196","doi":"https://doi.org/10.1109/siu.2017.7960212","title":"Feature extraction with convolutional neural networks for aerial image retrieval","display_name":"Feature extraction with convolutional neural networks for aerial image retrieval","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2732542196","doi":"https://doi.org/10.1109/siu.2017.7960212","mag":"2732542196"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2017.7960212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","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/A5072358879","display_name":"Hakan \u00c7ev\u0131kalp","orcid":"https://orcid.org/0000-0002-1708-8817"},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Hakan Cevikalp","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcniversitesi, Eski\u015fehir, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcniversitesi, Eski\u015fehir, T\u00fcrkiye","institution_ids":["https://openalex.org/I51209816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086029637","display_name":"Golara Ghorban Dordinejad","orcid":null},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Golara Ghorban Dordinejad","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcniversitesi, Eski\u015fehir, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcniversitesi, Eski\u015fehir, T\u00fcrkiye","institution_ids":["https://openalex.org/I51209816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036583097","display_name":"Merve Elmas","orcid":"https://orcid.org/0000-0002-3790-3970"},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Merve Elmas","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcniversitesi, Eski\u015fehir, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcniversitesi, Eski\u015fehir, T\u00fcrkiye","institution_ids":["https://openalex.org/I51209816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I51209816"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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":0.9977999925613403,"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"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9961000084877014,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8750479817390442},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8451461791992188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8134490847587585},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7280350923538208},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6748442649841309},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6644420623779297},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.510158121585846},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4901733994483948},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4737492501735687},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4707377851009369},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.44125962257385254},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3345174789428711}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8750479817390442},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8451461791992188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8134490847587585},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7280350923538208},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6748442649841309},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6644420623779297},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.510158121585846},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4901733994483948},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4737492501735687},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4707377851009369},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.44125962257385254},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3345174789428711},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2017.7960212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","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":37,"referenced_works":["https://openalex.org/W1502916507","https://openalex.org/W1601963269","https://openalex.org/W1966385142","https://openalex.org/W1974647172","https://openalex.org/W1980038761","https://openalex.org/W1992371516","https://openalex.org/W2026883296","https://openalex.org/W2033154814","https://openalex.org/W2101926813","https://openalex.org/W2112504244","https://openalex.org/W2112796928","https://openalex.org/W2124509324","https://openalex.org/W2125378448","https://openalex.org/W2130325614","https://openalex.org/W2132424367","https://openalex.org/W2139427956","https://openalex.org/W2141125852","https://openalex.org/W2148461049","https://openalex.org/W2153273131","https://openalex.org/W2154579312","https://openalex.org/W2156163116","https://openalex.org/W2163605009","https://openalex.org/W2163922914","https://openalex.org/W2292992741","https://openalex.org/W2293597654","https://openalex.org/W2546302380","https://openalex.org/W2919115771","https://openalex.org/W2950094539","https://openalex.org/W4240768087","https://openalex.org/W6629956336","https://openalex.org/W6648560114","https://openalex.org/W6678556256","https://openalex.org/W6681813608","https://openalex.org/W6682751323","https://openalex.org/W6684191040","https://openalex.org/W6696891034","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W2911497689","https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W3176438653","https://openalex.org/W2770149305","https://openalex.org/W3167930666","https://openalex.org/W3014952856","https://openalex.org/W3010730661","https://openalex.org/W2565656575"],"abstract_inverted_index":{"Deep":[0],"learning":[1,31],"methods":[2,32],"have":[3],"been":[4],"effectively":[5],"used":[6,29,70,80,98,131],"to":[7,42,68,93,96],"provide":[8],"great":[9],"improvement":[10],"in":[11,33,118,142],"various":[12],"research":[13],"fields":[14],"such":[15],"as":[16,71,74],"machine":[17],"learning,":[18],"image":[19,34,100],"processing":[20,35],"and":[21,89,112],"computer":[22],"vision.":[23],"One":[24],"of":[25,104,108,127,144,157],"the":[26,37,43,54,105,128,155,158],"most":[27,129],"frequently":[28],"deep":[30],"is":[36],"convolutional":[38,48,82,110],"neural":[39,46,49,83],"networks.":[40],"Compared":[41],"traditional":[44],"artificial":[45],"networks,":[47],"networks":[50],"do":[51],"not":[52],"use":[53],"predefined":[55],"kernels,":[56],"but":[57],"instead":[58],"they":[59],"learn":[60],"data":[61],"specific":[62],"kernels.":[63],"This":[64],"property":[65],"makes":[66],"them":[67],"be":[69,97],"feature":[72],"extractors":[73],"well.":[75],"In":[76],"this":[77],"study,":[78],"we":[79],"a":[81],"network":[84,106],"including":[85],"60":[86],"million":[87],"parameters":[88],"650":[90],"thousand":[91],"neurons":[92],"extract":[94],"features":[95],"for":[99],"retrieval.":[101],"The":[102],"architecture":[103],"consists":[107],"five":[109],"layers":[111],"three":[113],"fully-connected":[114],"layers.":[115],"Extracted":[116],"features,":[117],"comparison":[119],"with":[120],"Fisher":[121],"vectors":[122],"-":[123,134],"which":[124],"are":[125,135],"one":[126],"widely":[130],"representation":[132],"types":[133],"tested":[136],"on":[137],"UCMerced":[138],"Land":[139],"Use":[140],"dataset":[141],"terms":[143],"retrieval":[145],"accuracies":[146],"by":[147],"using":[148],"different":[149],"hashing":[150],"methods.":[151],"Experimental":[152],"results":[153],"demonstrate":[154],"superiority":[156],"CNN":[159],"features.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}