{"id":"https://openalex.org/W2548149301","doi":"https://doi.org/10.1109/igarss.2016.7729121","title":"A comprehensive evaluation of feature selection algorithms in hyperspectral image classification","display_name":"A comprehensive evaluation of feature selection algorithms in hyperspectral image classification","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2548149301","doi":"https://doi.org/10.1109/igarss.2016.7729121","mag":"2548149301"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7729121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},"type":"article","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/A5032338606","display_name":"Hamed Gholami Vijouyeh","orcid":"https://orcid.org/0000-0001-5766-2847"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Hamed G. Vijouyeh","raw_affiliation_strings":["Department of Communication Systems, Istanbul Technical University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communication Systems, Istanbul Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058660643","display_name":"G\u00fcl\u015fen Ta\u015fk\u0131n","orcid":"https://orcid.org/0000-0002-2294-4462"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Gulsen Taskin","raw_affiliation_strings":["Department of Earthquake Engineering, Istanbul Technical University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Earthquake Engineering, Istanbul Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I48912391"],"apc_list":null,"apc_paid":null,"fwci":0.6548,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76469596,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"489","last_page":"492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991000294685364,"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":0.9991000294685364,"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/T10057","display_name":"Face and Expression Recognition","score":0.9775000214576721,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9739999771118164,"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":0.9529116153717041},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7432616949081421},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7232810258865356},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6794055700302124},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5973645448684692},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5738451480865479},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5673509836196899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.558179497718811},{"id":"https://openalex.org/keywords/minimum-redundancy-feature-selection","display_name":"Minimum redundancy feature selection","score":0.478278249502182},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46722540259361267},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4570617079734802},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4421789348125458},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.42527422308921814},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3251349925994873},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25420111417770386}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9529116153717041},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7432616949081421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7232810258865356},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6794055700302124},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5973645448684692},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5738451480865479},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5673509836196899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.558179497718811},{"id":"https://openalex.org/C16811321","wikidata":"https://www.wikidata.org/wiki/Q17138905","display_name":"Minimum redundancy feature selection","level":3,"score":0.478278249502182},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46722540259361267},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4570617079734802},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4421789348125458},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.42527422308921814},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3251349925994873},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25420111417770386},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2016.7729121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/57097","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/57097","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"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":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322626","display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","ror":"https://ror.org/04w9kkr77"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W609694675","https://openalex.org/W1661871015","https://openalex.org/W2032339756","https://openalex.org/W2037935179","https://openalex.org/W2109293916","https://openalex.org/W2113890143","https://openalex.org/W2135511047","https://openalex.org/W2154053567","https://openalex.org/W2154506590","https://openalex.org/W2155925556","https://openalex.org/W6676746716"],"related_works":["https://openalex.org/W2156571267","https://openalex.org/W3120617324","https://openalex.org/W2350815964","https://openalex.org/W1838735596","https://openalex.org/W3036204000","https://openalex.org/W2747166117","https://openalex.org/W3213628668","https://openalex.org/W1922404199","https://openalex.org/W2983769747","https://openalex.org/W1573126127"],"abstract_inverted_index":{"Nowadays,":[0],"hyperspectral":[1,55,71,126,146],"images":[2,56],"have":[3,82],"been":[4,83],"an":[5,136],"attractive":[6],"subject":[7],"for":[8,41],"many":[9],"researches":[10],"in":[11,37],"remote":[12],"sensing":[13],"area":[14],"since":[15],"they":[16],"provide":[17],"abundant":[18],"information":[19,40],"due":[20,65],"to":[21,59,66,75,86,90,96,134],"their":[22],"wide":[23],"range":[24],"of":[25,39,52,110,130,150,161],"spectral":[26],"bands.":[27,72],"On":[28,44],"the":[29,45,70,77,93],"one":[30],"hand,":[31,47],"classification":[32,164],"plays":[33],"a":[34,49,98,107],"significant":[35,99],"role":[36],"extraction":[38],"different":[42,120],"applications.":[43],"other":[46],"providing":[48],"huge":[50],"amount":[51],"data":[53],"by":[54,158],"may":[57],"lead":[58],"complexity":[60],"and":[61,95,166],"bring":[62],"some":[63,123],"redundancy":[64],"high":[67],"correlation":[68],"among":[69],"In":[73,104],"order":[74],"reduce":[76],"redundancy,":[78],"feature":[79,113,142,151],"selection":[80,114,143,152],"algorithms":[81,115,144,153],"carried":[84,156],"out":[85,157],"remove":[87],"irrelevant":[88],"features":[89],"efficiently":[91],"use":[92],"classifier":[94],"achieve":[97],"accuracy":[100,165],"with":[101,119,145],"minimum":[102],"costs.":[103],"this":[105,131],"work,":[106],"comprehensive":[108],"analysis":[109,149],"well":[111],"known":[112],"will":[116,154],"be":[117,155],"conducted":[118],"classifiers":[121],"on":[122,140],"commonly":[124],"used":[125],"datasets.":[127],"The":[128,148],"contribution":[129],"paper":[132],"is":[133],"present":[135],"extensive":[137],"benchmark":[138],"study":[139],"using":[141],"dataset.":[147],"considering":[159],"number":[160],"training":[162],"samples,":[163],"computational":[167],"time.":[168]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
