{"id":"https://openalex.org/W4307578182","doi":"https://doi.org/10.3390/rs14215374","title":"Unsupervised Cluster-Wise Hyperspectral Band Selection for Classification","display_name":"Unsupervised Cluster-Wise Hyperspectral Band Selection for Classification","publication_year":2022,"publication_date":"2022-10-27","ids":{"openalex":"https://openalex.org/W4307578182","doi":"https://doi.org/10.3390/rs14215374"},"language":"en","primary_location":{"id":"doi:10.3390/rs14215374","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14215374","pdf_url":"https://www.mdpi.com/2072-4292/14/21/5374/pdf?version=1667181449","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/21/5374/pdf?version=1667181449","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039503747","display_name":"Mateus Habermann","orcid":"https://orcid.org/0000-0001-5701-0558"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mateus Habermann","raw_affiliation_strings":["Institute for Advanced Studies, Sao Jose dos Campos 12228-001, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute for Advanced Studies, Sao Jose dos Campos 12228-001, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062888816","display_name":"Elcio Hideiti Shiguemori","orcid":"https://orcid.org/0000-0001-5226-0435"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elcio Hideiti Shiguemori","raw_affiliation_strings":["Institute for Advanced Studies, Sao Jose dos Campos 12228-001, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute for Advanced Studies, Sao Jose dos Campos 12228-001, Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014078329","display_name":"Vincent Fr\u00e9mont","orcid":"https://orcid.org/0000-0002-1627-2241"},"institutions":[{"id":"https://openalex.org/I100445878","display_name":"\u00c9cole Centrale de Nantes","ror":"https://ror.org/03nh7d505","country_code":"FR","type":"education","lineage":["https://openalex.org/I100445878","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210117005","display_name":"Laboratoire des Sciences du Num\u00e9rique de Nantes","ror":"https://ror.org/02snf8m58","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100445878","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I4210117005","https://openalex.org/I4210124215","https://openalex.org/I4210127572","https://openalex.org/I4210139971","https://openalex.org/I97188460","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vincent Fr\u00e9mont","raw_affiliation_strings":["Department of Automatics and Robotics, Nantes Universit\u00e9, \u00c9cole Centrale de Nantes, CNRS, LS2N, UMR 6004, F-44000 Nantes, France"],"affiliations":[{"raw_affiliation_string":"Department of Automatics and Robotics, Nantes Universit\u00e9, \u00c9cole Centrale de Nantes, CNRS, LS2N, UMR 6004, F-44000 Nantes, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I97188460","https://openalex.org/I4210117005","https://openalex.org/I100445878"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039503747"],"corresponding_institution_ids":[],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2046,"currency":"EUR","value_usd":2206},"fwci":0.226,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57204944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"14","issue":"21","first_page":"5374","last_page":"5374"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.982200026512146,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.748259425163269},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7022739052772522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6813902258872986},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6732234954833984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.650139331817627},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6461785435676575},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5772044658660889},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5307647585868835},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.46229287981987},{"id":"https://openalex.org/keywords/hyperplane","display_name":"Hyperplane","score":0.45875975489616394},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42450493574142456},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21951425075531006},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10396000742912292}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.748259425163269},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7022739052772522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6813902258872986},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6732234954833984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.650139331817627},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6461785435676575},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5772044658660889},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5307647585868835},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.46229287981987},{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.45875975489616394},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42450493574142456},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21951425075531006},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10396000742912292},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs14215374","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14215374","pdf_url":"https://www.mdpi.com/2072-4292/14/21/5374/pdf?version=1667181449","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03833468v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03833468","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, 2022, 14 (21), pp.5374. &#x27E8;10.3390/rs14215374&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:doaj.org/article:fca8483203044b6abf40326f1dba94f5","is_oa":true,"landing_page_url":"https://doaj.org/article/fca8483203044b6abf40326f1dba94f5","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 21, p 5374 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/21/5374/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14215374","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":"Remote Sensing; Volume 14; Issue 21; Pages: 5374","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14215374","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14215374","pdf_url":"https://www.mdpi.com/2072-4292/14/21/5374/pdf?version=1667181449","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1464039697","display_name":null,"funder_award_id":"ANR-16-IDEX-0007","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320327974","display_name":"Conseil R\u00e9gional des Pays de la Loire","ror":null},{"id":"https://openalex.org/F4320338463","display_name":"CHIST-ERA","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4307578182.pdf","grobid_xml":"https://content.openalex.org/works/W4307578182.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1504710628","https://openalex.org/W1579487182","https://openalex.org/W1651114007","https://openalex.org/W1932531222","https://openalex.org/W1980007140","https://openalex.org/W2008957755","https://openalex.org/W2017337590","https://openalex.org/W2044860242","https://openalex.org/W2071185414","https://openalex.org/W2094187633","https://openalex.org/W2150990614","https://openalex.org/W2292865806","https://openalex.org/W2572810799","https://openalex.org/W2765110004","https://openalex.org/W2773536684","https://openalex.org/W2774900724","https://openalex.org/W2884104110","https://openalex.org/W2904562788","https://openalex.org/W2914690591","https://openalex.org/W2919520811","https://openalex.org/W2937638900","https://openalex.org/W2939307724","https://openalex.org/W2946787697","https://openalex.org/W2958108982","https://openalex.org/W2978620371","https://openalex.org/W2981951045","https://openalex.org/W2991454840","https://openalex.org/W2992040930","https://openalex.org/W2997272341","https://openalex.org/W2998216295","https://openalex.org/W3004448564","https://openalex.org/W3006523448","https://openalex.org/W3011069978","https://openalex.org/W3013131247","https://openalex.org/W3023065102","https://openalex.org/W3034150214","https://openalex.org/W3039321110","https://openalex.org/W3080744342","https://openalex.org/W3105005050","https://openalex.org/W3105100264","https://openalex.org/W3120808882","https://openalex.org/W4299618721","https://openalex.org/W6697079795","https://openalex.org/W6758972637","https://openalex.org/W6785442287","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W3211783303","https://openalex.org/W2132083814","https://openalex.org/W2292979300","https://openalex.org/W2137369096","https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125"],"abstract_inverted_index":{"A":[0,128],"hyperspectral":[1],"image":[2],"provides":[3],"fine":[4],"details":[5],"about":[6],"the":[7,17,22,36,73,86,93,101,105,116,124,137,141,148],"scene":[8],"under":[9],"analysis,":[10],"due":[11,32],"to":[12,33,41,48],"its":[13],"multiple":[14],"bands.":[15],"However,":[16],"resulting":[18],"high":[19],"dimensionality":[20,49],"in":[21,104,108,145],"feature":[23,106],"space":[24],"may":[25],"render":[26],"a":[27,56,68,79,96,109,113],"classification":[28,143],"task":[29],"unreliable,":[30],"mainly":[31],"overfitting":[34],"and":[35],"Hughes":[37],"phenomenon.":[38],"In":[39],"order":[40],"attenuate":[42],"such":[43],"problems,":[44],"one":[45],"can":[46],"resort":[47],"reduction":[50],"(DR).":[51],"Thus,":[52],"this":[53],"paper":[54],"proposes":[55],"new":[57],"DR":[58],"algorithm,":[59],"which":[60,85,99],"performs":[61],"an":[62],"unsupervised":[63],"band":[64],"selection":[65],"technique":[66],"following":[67],"clustering":[69],"approach.":[70],"More":[71],"specifically,":[72],"data":[74],"set":[75],"was":[76],"split":[77],"into":[78],"predefined":[80],"number":[81],"of":[82,95,115,126,147],"clusters,":[83],"after":[84],"bands":[87,119],"were":[88],"iteratively":[89],"selected":[90,118],"based":[91,122],"on":[92,123],"parameters":[94],"separating":[97],"hyperplane,":[98],"provided":[100],"best":[102,142],"separation":[103],"space,":[107],"one-versus-all":[110],"scenario.":[111],"Then,":[112],"fine-tuning":[114],"initially":[117],"took":[120],"place":[121],"separability":[125],"clusters.":[127],"comparison":[129],"with":[130],"five":[131],"other":[132],"state-of-the-art":[133],"frameworks":[134],"shows":[135],"that":[136],"proposed":[138],"method":[139],"achieved":[140],"results":[144],"60%":[146],"experiments.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2022-11-03T00:00:00"}
