{"id":"https://openalex.org/W4380032307","doi":"https://doi.org/10.1109/tgrs.2023.3284475","title":"A Scalable Unsupervised Feature Selection With Orthogonal Graph Representation for Hyperspectral Images","display_name":"A Scalable Unsupervised Feature Selection With Orthogonal Graph Representation for Hyperspectral Images","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4380032307","doi":"https://doi.org/10.1109/tgrs.2023.3284475"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3284475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3284475","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/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":["Institute of Disaster Management, Istanbul Technical University, Istanbul, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-2294-4462","affiliations":[{"raw_affiliation_string":"Institute of Disaster Management, Istanbul Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064926486","display_name":"E. Fatih Yetkin","orcid":"https://orcid.org/0000-0003-1115-4454"},"institutions":[{"id":"https://openalex.org/I132286405","display_name":"Kadir Has University","ror":"https://ror.org/03zzckc47","country_code":"TR","type":"education","lineage":["https://openalex.org/I132286405"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"E. Fatih Yetkin","raw_affiliation_strings":["Management Information Systems Department, Kadir Has University, Istanbul, Turkey"],"raw_orcid":"https://orcid.org/0000-0003-1115-4454","affiliations":[{"raw_affiliation_string":"Management Information Systems Department, Kadir Has University, Istanbul, Turkey","institution_ids":["https://openalex.org/I132286405"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039052506","display_name":"Gustau Camps\u2010Valls","orcid":"https://orcid.org/0000-0003-1683-2138"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Gustau Camps-Valls","raw_affiliation_strings":["Image Processing Laboratory, Universitat de Val&#x00E8;ncia, Valencia, Spain"],"raw_orcid":"https://orcid.org/0000-0003-1683-2138","affiliations":[{"raw_affiliation_string":"Image Processing Laboratory, Universitat de Val&#x00E8;ncia, Valencia, Spain","institution_ids":["https://openalex.org/I16097986"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8953,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77074729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9854000210762024,"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/T12676","display_name":"Machine Learning and ELM","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/feature-selection","display_name":"Feature selection","score":0.646389365196228},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.604736328125},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6008108854293823},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.595741331577301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5862110257148743},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5297768115997314},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5114251971244812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4871944785118103},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.48128741979599},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4608018696308136},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.4406711757183075},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43211933970451355},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.43005430698394775},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36775246262550354}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.646389365196228},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.604736328125},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6008108854293823},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.595741331577301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5862110257148743},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5297768115997314},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5114251971244812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4871944785118103},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.48128741979599},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4608018696308136},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.4406711757183075},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43211933970451355},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.43005430698394775},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36775246262550354},{"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"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":2,"locations":[{"id":"doi:10.1109/tgrs.2023.3284475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3284475","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/59155","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/59155","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":[{"id":"https://openalex.org/G6937786264","display_name":"Understanding and Modelling the Earth System with Machine Learning","funder_award_id":"855187","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"},{"id":"https://openalex.org/G8899631417","display_name":"Y\u00fcksek Boyutlu Model G\u00f6sterilimi Tabanl\u0131 Manifold \u00d6\u011frenme Y\u00f6ntemi","funder_award_id":"217E032","funder_id":"https://openalex.org/F4320322626","funder_display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu"}],"funders":[{"id":"https://openalex.org/F4320322626","display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","ror":"https://ror.org/04w9kkr77"},{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W79383899","https://openalex.org/W815418772","https://openalex.org/W1526638626","https://openalex.org/W1639564182","https://openalex.org/W1972955129","https://openalex.org/W1973166102","https://openalex.org/W1999085008","https://openalex.org/W2004098082","https://openalex.org/W2017337590","https://openalex.org/W2067321962","https://openalex.org/W2067767939","https://openalex.org/W2073161435","https://openalex.org/W2087263574","https://openalex.org/W2096714979","https://openalex.org/W2097308346","https://openalex.org/W2099322651","https://openalex.org/W2101589741","https://openalex.org/W2103105037","https://openalex.org/W2108710077","https://openalex.org/W2114925082","https://openalex.org/W2121410881","https://openalex.org/W2128873747","https://openalex.org/W2142552707","https://openalex.org/W2143426320","https://openalex.org/W2149620660","https://openalex.org/W2151582349","https://openalex.org/W2154872931","https://openalex.org/W2157317320","https://openalex.org/W2158933803","https://openalex.org/W2158948182","https://openalex.org/W2163886442","https://openalex.org/W2249670697","https://openalex.org/W2314735922","https://openalex.org/W2466939964","https://openalex.org/W2518916044","https://openalex.org/W2594857575","https://openalex.org/W2598259734","https://openalex.org/W2603834682","https://openalex.org/W2605100742","https://openalex.org/W2782517596","https://openalex.org/W2788471974","https://openalex.org/W2791315675","https://openalex.org/W2896340099","https://openalex.org/W2905270002","https://openalex.org/W2911627187","https://openalex.org/W2914667012","https://openalex.org/W2932421136","https://openalex.org/W2945595726","https://openalex.org/W2950325582","https://openalex.org/W2953308875","https://openalex.org/W2964082713","https://openalex.org/W2979316730","https://openalex.org/W2981731882","https://openalex.org/W2982673118","https://openalex.org/W2991454840","https://openalex.org/W3010040433","https://openalex.org/W3021054622","https://openalex.org/W3088441116","https://openalex.org/W3108083086","https://openalex.org/W3114909272","https://openalex.org/W3131734816","https://openalex.org/W3201045222","https://openalex.org/W3211243520","https://openalex.org/W3216095402","https://openalex.org/W4212843043","https://openalex.org/W4289236186","https://openalex.org/W4312301754","https://openalex.org/W6623286628","https://openalex.org/W6674952872","https://openalex.org/W6677019526","https://openalex.org/W6681822384","https://openalex.org/W6682644385","https://openalex.org/W6691104258","https://openalex.org/W6697289498","https://openalex.org/W6726851532"],"related_works":["https://openalex.org/W2158511632","https://openalex.org/W2040821848","https://openalex.org/W2120026622","https://openalex.org/W2477004454","https://openalex.org/W4293308945","https://openalex.org/W4283014405","https://openalex.org/W3201141598","https://openalex.org/W3159971786","https://openalex.org/W2095847652","https://openalex.org/W2786094008"],"abstract_inverted_index":{"Feature":[0],"selection":[1,53,109,210],"is":[2,76,121,149,174,202,224],"essential":[3],"in":[4,36,137,206,230,235],"various":[5],"fields":[6],"of":[7,60,81,128,131,170,198,220,237],"science":[8],"and":[9,24,102,161,242],"engineering,":[10],"from":[11],"remote":[12],"sensing":[13],"to":[14,123,155,175,227],"computer":[15],"vision.":[16],"Reducing":[17],"data":[18,67],"dimensionality":[19],"by":[20,96,112],"removing":[21],"redundant":[22],"features":[23],"selecting":[25],"the":[26,57,61,73,77,98,113,118,138,171,195,199,221],"most":[27],"informative":[28],"ones":[29],"improves":[30],"machine":[31],"learning":[32],"algorithms\u2019":[33],"performance,":[34],"especially":[35,87],"supervised":[37],"classification":[38,238],"tasks,":[39],"while":[40,65],"lowering":[41],"storage":[42],"needs.":[43],"Graph-embedding":[44],"techniques":[45],"have":[46],"recently":[47],"been":[48],"found":[49],"efficient":[50],"for":[51,88,105],"feature":[52,63,108,119,164,209,240],"since":[54],"they":[55],"preserve":[56],"geometric":[58],"structure":[59],"original":[62],"space":[64,160],"embedding":[66,100,140,147,201],"into":[68,158,185],"a":[69,106,125,129,143,163,207],"low-dimensional":[70,159],"subspace.":[71],"However,":[72],"main":[74],"drawback":[75],"high":[78,114],"computational":[79,196,243],"cost":[80],"solving":[82],"an":[83,145,177],"eigenvalue":[84,183,190],"decomposition":[85],"problem,":[86],"large-scale":[89],"problems.":[90,191],"This":[91],"paper":[92],"addresses":[93],"this":[94,193],"issue":[95],"combining":[97],"graph":[99,139,200],"framework":[101],"representation":[103],"theory":[104],"novel":[107],"method.":[110],"Inspired":[111],"dimensional":[115],"model":[116],"representation,":[117],"transformation":[120],"assumed":[122],"be":[124,153,214],"linear":[126],"combination":[127],"set":[130],"univariate":[132],"orthogonal":[133],"functions":[134],"carried":[135],"out":[136],"framework.":[141],"As":[142],"result,":[144],"explicit":[146],"function":[148],"created,":[150],"which":[151,212],"can":[152],"utilised":[154],"embed":[156],"out-of-samples":[157],"provide":[162],"relevance":[165],"score.":[166],"The":[167,218],"significant":[168],"contribution":[169],"proposed":[172,222],"method":[173,223],"divide":[176],"<italic":[178,186],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[179,187],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">n</i>":[180,188],"-dimensional":[181],"generalised":[182],"problem":[184],"small-sized":[189],"With":[192],"property,":[194],"complexity":[197],"significantly":[203],"reduced,":[204],"resulting":[205],"scalable":[208],"method,":[211],"could":[213],"easily":[215],"parallelized":[216],"too.":[217],"performance":[219],"compared":[225],"favourably":[226],"its":[228],"counterparts":[229],"high-dimensional":[231],"hyperspectral":[232],"image":[233],"processing":[234],"terms":[236],"accuracy,":[239],"stability,":[241],"time.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}