{"id":"https://openalex.org/W2765786436","doi":"https://doi.org/10.1109/whispers.2013.8080644","title":"Ensemble classification of hyperspectral images based on ordered weighted averaging operators","display_name":"Ensemble classification of hyperspectral images based on ordered weighted averaging operators","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2765786436","doi":"https://doi.org/10.1109/whispers.2013.8080644","mag":"2765786436"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2013.8080644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2013.8080644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/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":false,"raw_author_name":"Naif Alajlan","raw_affiliation_strings":["College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"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":["College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072431554","display_name":"Ronald R. Yager","orcid":"https://orcid.org/0000-0003-2938-1858"},"institutions":[{"id":"https://openalex.org/I173466955","display_name":"Iona College","ror":"https://ror.org/00m79dm66","country_code":"US","type":"education","lineage":["https://openalex.org/I173466955"]},{"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","US"],"is_corresponding":false,"raw_author_name":"R.R Yager","raw_affiliation_strings":["Iona College, King Saud University, Riyadh, NY, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iona College, King Saud University, Riyadh, NY, Saudi Arabia","institution_ids":["https://openalex.org/I173466955","https://openalex.org/I28022161"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.38096352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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/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/T13890","display_name":"Remote Sensing and Land Use","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9747999906539917,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8426837921142578},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7377536296844482},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7244162559509277},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6712765693664551},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.598148763179779},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.5150012969970703},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.511387050151825},{"id":"https://openalex.org/keywords/imaging-spectrometer","display_name":"Imaging spectrometer","score":0.4494009017944336},{"id":"https://openalex.org/keywords/weighted-voting","display_name":"Weighted voting","score":0.4441760182380676},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.43466609716415405},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22158700227737427},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.14515405893325806}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8426837921142578},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7377536296844482},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7244162559509277},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6712765693664551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.598148763179779},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.5150012969970703},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.511387050151825},{"id":"https://openalex.org/C183852935","wikidata":"https://www.wikidata.org/wiki/Q6002848","display_name":"Imaging spectrometer","level":3,"score":0.4494009017944336},{"id":"https://openalex.org/C132778050","wikidata":"https://www.wikidata.org/wiki/Q2065430","display_name":"Weighted voting","level":4,"score":0.4441760182380676},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.43466609716415405},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22158700227737427},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.14515405893325806},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C33390570","wikidata":"https://www.wikidata.org/wiki/Q188463","display_name":"Spectrometer","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2013.8080644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2013.8080644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1533336287","https://openalex.org/W2016461138","https://openalex.org/W2067191022","https://openalex.org/W2068150776","https://openalex.org/W2086762254","https://openalex.org/W2149870286","https://openalex.org/W2153534417"],"related_works":["https://openalex.org/W2746742660","https://openalex.org/W2082586825","https://openalex.org/W2119473622","https://openalex.org/W2561005839","https://openalex.org/W2474469778","https://openalex.org/W2944460852","https://openalex.org/W2138540356","https://openalex.org/W2171464537","https://openalex.org/W1529476013","https://openalex.org/W2165780522"],"abstract_inverted_index":{"In":[0],"this":[1,81],"paper,":[2],"we":[3,16,50,79],"propose":[4],"a":[5,39,47,66,100,108],"novel":[6],"ensemble":[7],"method":[8],"for":[9],"the":[10,18,25,31,52,60,72,94,113,121,125],"classification":[11,68,85,127],"of":[12,41,83,93,124],"hyperspectral":[13,109],"images.":[14],"First,":[15],"run":[17],"mean-shift":[19],"(MS)":[20],"algorithm":[21,36],"several":[22],"times":[23],"on":[24,107],"most":[26],"relevant":[27],"bands":[28],"identified":[29],"by":[30,58,71,112],"Markov":[32],"Fisher":[33],"Selector":[34],"(MFS)":[35],"to":[37,65],"generate":[38],"set":[40,82],"different":[42],"segmentation":[43],"maps.":[44],"Then":[45],"in":[46,54],"second":[48],"step,":[49],"label":[51],"regions":[53],"each":[55],"MS":[56],"map":[57,69],"applying":[59],"weighted-majority-voting":[61],"rule":[62,64],"(WMV)":[63],"spectral-based":[67],"generated":[70],"support":[73],"vector":[74],"machine":[75],"(SVM)":[76],"classifier.":[77],"Finally,":[78],"fuse":[80],"spectral-spatial":[84],"maps":[86],"with":[87],"an":[88],"OWA":[89],"operator.":[90],"The":[91,104],"determination":[92],"associated":[95],"weights":[96],"is":[97],"made":[98],"using":[99],"Gaussian":[101],"stress":[102],"function.":[103],"results":[105],"obtained":[106],"image":[110],"acquired":[111],"Airborne":[114],"Visible/Infrared":[115],"Imaging":[116],"Spectrometer":[117],"(AVIRIS)":[118],"sensor":[119],"confirm":[120],"promising":[122],"capabilities":[123],"proposed":[126],"system.":[128]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
