{"id":"https://openalex.org/W3033215168","doi":"https://doi.org/10.3390/ijgi9060370","title":"Weighted Ensemble Object Detection with Optimized Coefficients for Remote Sensing Images","display_name":"Weighted Ensemble Object Detection with Optimized Coefficients for Remote Sensing Images","publication_year":2020,"publication_date":"2020-06-04","ids":{"openalex":"https://openalex.org/W3033215168","doi":"https://doi.org/10.3390/ijgi9060370","mag":"3033215168"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi9060370","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi9060370","pdf_url":"https://www.mdpi.com/2220-9964/9/6/370/pdf?version=1591261118","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/9/6/370/pdf?version=1591261118","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036579655","display_name":"Atakan K\u00f6rez","orcid":"https://orcid.org/0000-0003-3704-267X"},"institutions":[{"id":"https://openalex.org/I95634034","display_name":"Gazi University","ror":"https://ror.org/054xkpr46","country_code":"TR","type":"education","lineage":["https://openalex.org/I95634034"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Atakan K\u00f6rez","raw_affiliation_strings":["Department of Computer Engineering, Faculty of Technology, Gazi University, Ankara 06560, Turkey"],"raw_orcid":"https://orcid.org/0000-0003-3704-267X","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Faculty of Technology, Gazi University, Ankara 06560, Turkey","institution_ids":["https://openalex.org/I95634034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001131955","display_name":"Necaattin Bar\u0131\u015f\u00e7\u0131","orcid":"https://orcid.org/0000-0002-8762-5091"},"institutions":[{"id":"https://openalex.org/I95634034","display_name":"Gazi University","ror":"https://ror.org/054xkpr46","country_code":"TR","type":"education","lineage":["https://openalex.org/I95634034"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Necaattin Bar\u0131\u015f\u00e7\u0131","raw_affiliation_strings":["Department of Computer Engineering, Faculty of Technology, Gazi University, Ankara 06560, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-8762-5091","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Faculty of Technology, Gazi University, Ankara 06560, Turkey","institution_ids":["https://openalex.org/I95634034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006050386","display_name":"Ayd\u0131n \u00c7etin","orcid":"https://orcid.org/0000-0002-8669-823X"},"institutions":[{"id":"https://openalex.org/I95634034","display_name":"Gazi University","ror":"https://ror.org/054xkpr46","country_code":"TR","type":"education","lineage":["https://openalex.org/I95634034"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ayd\u0131n \u00c7etin","raw_affiliation_strings":["Department of Computer Engineering, Faculty of Technology, Gazi University, Ankara 06560, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-8669-823X","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Faculty of Technology, Gazi University, Ankara 06560, Turkey","institution_ids":["https://openalex.org/I95634034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090868402","display_name":"U\u00e7man Erg\u00fcn","orcid":"https://orcid.org/0000-0002-9218-2192"},"institutions":[{"id":"https://openalex.org/I52407163","display_name":"Afyon Kocatepe University","ror":"https://ror.org/03a1crh56","country_code":"TR","type":"education","lineage":["https://openalex.org/I52407163"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"U\u00e7man Erg\u00fcn","raw_affiliation_strings":["Biomedical Engineering Department, Afyon Kocatepe University, Afyon 03300, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Department, Afyon Kocatepe University, Afyon 03300, Turkey","institution_ids":["https://openalex.org/I52407163"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036579655"],"corresponding_institution_ids":["https://openalex.org/I95634034"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.725,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.86811705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"9","issue":"6","first_page":"370","last_page":"370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987000226974487,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9972000122070312,"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/remote-sensing","display_name":"Remote sensing","score":0.769396960735321},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6878352165222168},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6421000361442566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.634727954864502},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5113832354545593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4863753616809845},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44282543659210205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3529841899871826},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3204529881477356},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1850610077381134}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.769396960735321},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6878352165222168},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6421000361442566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.634727954864502},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5113832354545593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4863753616809845},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44282543659210205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3529841899871826},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3204529881477356},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1850610077381134}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/ijgi9060370","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi9060370","pdf_url":"https://www.mdpi.com/2220-9964/9/6/370/pdf?version=1591261118","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5c9652bd2cbb4ad68b692bfec107c21a","is_oa":true,"landing_page_url":"https://doaj.org/article/5c9652bd2cbb4ad68b692bfec107c21a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 9, Iss 6, p 370 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/9/6/370/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/ijgi9060370","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":"ISPRS International Journal of Geo-Information","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi9060370","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi9060370","pdf_url":"https://www.mdpi.com/2220-9964/9/6/370/pdf?version=1591261118","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3033215168.pdf","grobid_xml":"https://content.openalex.org/works/W3033215168.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W639708223","https://openalex.org/W1536826708","https://openalex.org/W2005368619","https://openalex.org/W2012273471","https://openalex.org/W2017379056","https://openalex.org/W2059357486","https://openalex.org/W2108598243","https://openalex.org/W2113199901","https://openalex.org/W2156005735","https://openalex.org/W2193145675","https://openalex.org/W2308318555","https://openalex.org/W2512351403","https://openalex.org/W2601564443","https://openalex.org/W2611293703","https://openalex.org/W2774989306","https://openalex.org/W2779335303","https://openalex.org/W2782266583","https://openalex.org/W2889985731","https://openalex.org/W2898682679","https://openalex.org/W2902666195","https://openalex.org/W2904973712","https://openalex.org/W2909102496","https://openalex.org/W2943878449","https://openalex.org/W2950516690","https://openalex.org/W2951720561","https://openalex.org/W2952565170","https://openalex.org/W2953867371","https://openalex.org/W2955525211","https://openalex.org/W2957667237","https://openalex.org/W2972006294","https://openalex.org/W2973030851","https://openalex.org/W2975233290","https://openalex.org/W2975743894","https://openalex.org/W2995566361","https://openalex.org/W2995801068","https://openalex.org/W2996642429","https://openalex.org/W3001733574","https://openalex.org/W3099319035","https://openalex.org/W3106250896","https://openalex.org/W3125372245","https://openalex.org/W6602002561","https://openalex.org/W6620707391","https://openalex.org/W6755967008","https://openalex.org/W6761071236","https://openalex.org/W6763750165","https://openalex.org/W6771496576"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W4234808182","https://openalex.org/W2382043075","https://openalex.org/W2809151339","https://openalex.org/W2360673138","https://openalex.org/W2809370583","https://openalex.org/W2333722679","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"The":[0,77,99],"detection":[1,40,55,70,85,121],"of":[2,18,38,66,123],"objects":[3],"in":[4,41],"very":[5],"high-resolution":[6],"(VHR)":[7],"remote":[8,19,42],"sensing":[9,20,43],"images":[10,23],"has":[11],"become":[12],"increasingly":[13],"popular":[14],"with":[15,94],"the":[16,36,64,74,119,124,131,135,160,168],"enhancement":[17],"technologies.":[21],"High-resolution":[22],"from":[24],"aircrafts":[25],"or":[26,82],"satellites":[27],"contain":[28],"highly":[29],"detailed":[30],"and":[31,90,108,147,163],"mixed":[32],"backgrounds":[33],"that":[34,50,130],"decrease":[35],"success":[37,122],"object":[39,54,69,84,120],"images.":[44],"In":[45],"this":[46],"study,":[47],"a":[48],"model":[49,62,133],"performs":[51],"weighted":[52],"ensemble":[53],"using":[56,167],"optimized":[57,96],"coefficients":[58],"is":[59],"proposed.":[60],"This":[61],"uses":[63],"outputs":[65],"three":[67],"different":[68],"models":[71,146],"trained":[72],"on":[73,159],"same":[75],"dataset.":[76],"model\u2019s":[78],"structure":[79],"takes":[80],"two":[81],"more":[83],"methods":[86,156],"as":[87],"its":[88],"input":[89],"provides":[91],"an":[92,95],"output":[93],"coefficient-weighted":[97],"ensemble.":[98],"Northwestern":[100],"Polytechnical":[101],"University":[102],"Very":[103],"High":[104],"Resolution":[105],"10":[106],"(NWPU-VHR10)":[107],"Remote":[109],"Sensing":[110],"Object":[111],"Detection":[112],"(RSOD)":[113],"datasets":[114],"were":[115],"used":[116],"to":[117,144],"measure":[118],"proposed":[125,132],"model.":[126],"Our":[127],"experiments":[128],"reveal":[129],"improved":[134],"Mean":[136],"Average":[137],"Precision":[138],"(mAP)":[139],"performance":[140],"by":[141],"0.78%\u201316.5%":[142],"compared":[143],"stand-alone":[145],"presents":[148],"better":[149],"mean":[150],"average":[151],"precision":[152],"than":[153],"other":[154],"state-of-the-art":[155],"(3.55%":[157],"higher":[158,165],"NWPU-VHR-10":[161],"dataset":[162],"1.49%":[164],"when":[166],"RSOD":[169],"dataset).":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
