{"id":"https://openalex.org/W2039774423","doi":"https://doi.org/10.1109/jstars.2013.2240437","title":"Using OWA Fusion Operators for the Classification of Hyperspectral Images","display_name":"Using OWA Fusion Operators for the Classification of Hyperspectral Images","publication_year":2013,"publication_date":"2013-02-05","ids":{"openalex":"https://openalex.org/W2039774423","doi":"https://doi.org/10.1109/jstars.2013.2240437","mag":"2039774423"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2013.2240437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2013.2240437","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5052594698","display_name":"Naif Alajlan","orcid":"https://orcid.org/0000-0003-1846-1131"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Naif Alajlan","raw_affiliation_strings":["ALISR Laboratory, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"ALISR Laboratory, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054237841","display_name":"Yakoub Bazi","orcid":"https://orcid.org/0000-0001-9287-0596"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Yakoub Bazi","raw_affiliation_strings":["ALISR Laboratory, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"ALISR Laboratory, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030617821","display_name":"Haikel Alhichri","orcid":"https://orcid.org/0000-0003-2164-043X"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Haikel S. AlHichri","raw_affiliation_strings":["ALISR Laboratory, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"ALISR Laboratory, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109571852","display_name":"Farid Melgani","orcid":null},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Farid Melgani","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112059759","display_name":"Yager","orcid":null},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]},{"id":"https://openalex.org/I173466955","display_name":"Iona College","ror":"https://ror.org/00m79dm66","country_code":"US","type":"education","lineage":["https://openalex.org/I173466955"]}],"countries":["SA","US"],"is_corresponding":false,"raw_author_name":"Yager","raw_affiliation_strings":["King Saud University, Riyadh, Saudi Arabia","Machine Intelligence Institute, Iona College, New Rochelle, NY, USA"],"affiliations":[{"raw_affiliation_string":"King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]},{"raw_affiliation_string":"Machine Intelligence Institute, Iona College, New Rochelle, NY, USA","institution_ids":["https://openalex.org/I173466955"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5052594698"],"corresponding_institution_ids":["https://openalex.org/I28022161"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":3.917,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.9414804,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"6","issue":"2","first_page":"602","last_page":"614"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9821000099182129,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9043453335762024},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7188031673431396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7047683000564575},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6857900023460388},{"id":"https://openalex.org/keywords/imaging-spectrometer","display_name":"Imaging spectrometer","score":0.6811516284942627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6450356245040894},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5356966853141785},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5079148411750793},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43558192253112793},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.42631039023399353},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32098111510276794},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.32052090764045715},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2868030071258545},{"id":"https://openalex.org/keywords/spectrometer","display_name":"Spectrometer","score":0.17492157220840454},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16036167740821838}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9043453335762024},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7188031673431396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7047683000564575},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6857900023460388},{"id":"https://openalex.org/C183852935","wikidata":"https://www.wikidata.org/wiki/Q6002848","display_name":"Imaging spectrometer","level":3,"score":0.6811516284942627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6450356245040894},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5356966853141785},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5079148411750793},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43558192253112793},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.42631039023399353},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32098111510276794},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32052090764045715},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2868030071258545},{"id":"https://openalex.org/C33390570","wikidata":"https://www.wikidata.org/wiki/Q188463","display_name":"Spectrometer","level":2,"score":0.17492157220840454},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16036167740821838},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2013.2240437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2013.2240437","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:iris.unitn.it:11572/67339","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/67339","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321145","display_name":"King Saud University","ror":"https://ror.org/02f81g417"},{"id":"https://openalex.org/F4320324204","display_name":"Saudi Basic Industries Corporation","ror":"https://ror.org/03nqwhd11"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1533336287","https://openalex.org/W1974981350","https://openalex.org/W2016461138","https://openalex.org/W2034110104","https://openalex.org/W2045807639","https://openalex.org/W2060907774","https://openalex.org/W2063053200","https://openalex.org/W2063907334","https://openalex.org/W2067191022","https://openalex.org/W2073786842","https://openalex.org/W2076983043","https://openalex.org/W2086762254","https://openalex.org/W2098057602","https://openalex.org/W2102219056","https://openalex.org/W2109395398","https://openalex.org/W2112081648","https://openalex.org/W2114425727","https://openalex.org/W2130381972","https://openalex.org/W2131864940","https://openalex.org/W2134601045","https://openalex.org/W2136251662","https://openalex.org/W2147590979","https://openalex.org/W2148603752","https://openalex.org/W2149767701","https://openalex.org/W2150434735","https://openalex.org/W2152438175","https://openalex.org/W2153534417","https://openalex.org/W2154874087","https://openalex.org/W2156116978","https://openalex.org/W2159070926","https://openalex.org/W2160633256","https://openalex.org/W2160662337","https://openalex.org/W2164437025","https://openalex.org/W2168481151","https://openalex.org/W2168867644","https://openalex.org/W2169482235","https://openalex.org/W2171171329","https://openalex.org/W2172000360","https://openalex.org/W2267733952","https://openalex.org/W2548695521","https://openalex.org/W4231349049","https://openalex.org/W6666415623","https://openalex.org/W6684897833"],"related_works":["https://openalex.org/W2746742660","https://openalex.org/W2082586825","https://openalex.org/W2561005839","https://openalex.org/W2138540356","https://openalex.org/W2119473622","https://openalex.org/W2474469778","https://openalex.org/W2944460852","https://openalex.org/W2171464537","https://openalex.org/W1529476013","https://openalex.org/W2165780522"],"abstract_inverted_index":{"In":[0,116],"this":[1,77,103,128],"paper,":[2],"we":[3,22,124],"propose":[4,125],"a":[5,56,64,106,152],"novel":[6],"ensemble-based":[7],"classification":[8,13,66,110,122,160],"system":[9,161],"for":[10,79],"improving":[11],"the":[12,20,24,36,70,83,86,93,97,120,134,143,149,158,171,178,185],"accuracy":[14],"of":[15,48,102,108,130,142,151,157],"hyperspectral":[16,37,167],"images.":[17],"To":[18,76],"generate":[19,119],"ensemble,":[21],"run":[23],"mean-shift":[25],"(MS)":[26],"algorithm":[27],"several":[28],"times":[29],"on":[30,164],"different":[31,166],"bands":[32],"randomly":[33],"selected":[34],"from":[35],"cube":[38],"and":[39,184],"with":[40,61],"distinct":[41],"kernel":[42],"width":[43],"parameters.":[44],"The":[45,100,140,155],"resulting":[46],"set":[47,107,129],"MS":[49,84],"maps":[50,111,132],"are":[51],"then":[52],"successively":[53],"labeled":[54],"via":[55],"pair":[57],"wise":[58],"labeling":[59],"procedure":[60],"respect":[62],"to":[63,92,118,126],"spectral-based":[65],"map":[67],"generated":[68],"by":[69,170],"support":[71],"vector":[72],"machine":[73],"(SVM)":[74],"classifier.":[75],"end,":[78],"each":[80],"region":[81],"in":[82,96],"maps,":[85],"weighted-majority-voting":[87],"(WMV)":[88],"rule":[89],"is":[90,105,146,162],"applied":[91],"corresponding":[94],"pixels":[95],"SVM":[98],"map.":[99],"output":[101],"step":[104],"spectral-spatial":[109],"termed":[112],"as":[113],"SVM-MS":[114,131],"maps.":[115],"order":[117],"final":[121],"result,":[123],"aggregate":[127],"using":[133,148],"ordered":[135],"weighted":[136],"averaging":[137],"(OWA)":[138],"operator.":[139],"determination":[141],"associated":[144],"weights":[145],"made":[147],"idea":[150],"stress":[153],"function.":[154],"performance":[156],"proposed":[159],"assessed":[163],"three":[165],"datasets":[168],"acquired":[169],"Reflective":[172],"Optics":[173],"System":[174],"Imaging":[175,188],"Spectrometer":[176,189],"(ROSIS-03),":[177],"Digital":[179],"Imagery":[180],"Collection":[181],"Experiment":[182],"(HYDICE)":[183],"Airborne":[186],"Visible/Infrared":[187],"(AVIRIS)":[190],"sensors.":[191]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
