{"id":"https://openalex.org/W2020503687","doi":"https://doi.org/10.1109/jstsp.2015.2405902","title":"Efficient Unsupervised Band Selection Through Spectral Rhythms","display_name":"Efficient Unsupervised Band Selection Through Spectral Rhythms","publication_year":2015,"publication_date":"2015-02-20","ids":{"openalex":"https://openalex.org/W2020503687","doi":"https://doi.org/10.1109/jstsp.2015.2405902","mag":"2020503687"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2015.2405902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2015.2405902","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","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/A5059095138","display_name":"L\u00edlian Chaves Brand\u00e3o dos Santos","orcid":null},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lilian Chaves B. dos Santos","raw_affiliation_strings":["Department of Computer Science, Universidade Federal de Minas Gerais (UFMG)","[Department of Computer Science, Universidade Federal de Minas Gerais (UFMG)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Universidade Federal de Minas Gerais (UFMG)","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"[Department of Computer Science, Universidade Federal de Minas Gerais (UFMG)]","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070629635","display_name":"Silvio Jamil F. Guimar\u00e3es","orcid":"https://orcid.org/0000-0001-8522-2056"},"institutions":[{"id":"https://openalex.org/I170935008","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais","ror":"https://ror.org/03j1rr444","country_code":"BR","type":"education","lineage":["https://openalex.org/I170935008"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Silvio Jamil F. Guimaraes","raw_affiliation_strings":["Universidade Cat\u00f3lica de Minas Gerais (PUC Minas), Instituto de Ci\u00eancias Exatas e Inform\u00e1tica of Pontif\u00edcia","Instituto de Ci\u00eancias Exatas e Inform\u00e1tica of Pontif\u00edcia, Universidade Cat\u00f3lica de Minas Gerais (PUC Minas),"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Cat\u00f3lica de Minas Gerais (PUC Minas), Instituto de Ci\u00eancias Exatas e Inform\u00e1tica of Pontif\u00edcia","institution_ids":["https://openalex.org/I170935008"]},{"raw_affiliation_string":"Instituto de Ci\u00eancias Exatas e Inform\u00e1tica of Pontif\u00edcia, Universidade Cat\u00f3lica de Minas Gerais (PUC Minas),","institution_ids":["https://openalex.org/I170935008"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jefersson A. dos Santos","orcid":null},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jefersson A. dos Santos","raw_affiliation_strings":["Department of Computer Science, Universidade Federal de Minas Gerais (UFMG)","[Department of Computer Science, Universidade Federal de Minas Gerais (UFMG)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Universidade Federal de Minas Gerais (UFMG)","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"[Department of Computer Science, Universidade Federal de Minas Gerais (UFMG)]","institution_ids":["https://openalex.org/I110200422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6475,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93211448,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":"6","first_page":"1016","last_page":"1025"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9905999898910522,"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/T10057","display_name":"Face and Expression Recognition","score":0.9696000218391418,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7728143930435181},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7556885480880737},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6696774959564209},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6542141437530518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6423590779304504},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6122593879699707},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.5686415433883667},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5296347737312317},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5208780765533447},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3676338195800781},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2109939157962799}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7728143930435181},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7556885480880737},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6696774959564209},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6542141437530518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6423590779304504},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6122593879699707},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.5686415433883667},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5296347737312317},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5208780765533447},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3676338195800781},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2109939157962799},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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":1,"locations":[{"id":"doi:10.1109/jstsp.2015.2405902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2015.2405902","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G440473569","display_name":null,"funder_award_id":"#449638/2014-6","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G6156980220","display_name":null,"funder_award_id":"064965/2014-01","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G8631160438","display_name":"MAPEAMENTO INTERATIVO DE REGI\u00d5ES UTILIZANDO ABORDAGENS MULTI-ESCALA","funder_award_id":"APQ-00768-14","funder_id":"https://openalex.org/F4320322980","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de Minas Gerais"}],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322980","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de Minas Gerais","ror":"https://ror.org/00nc55f03"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W95369936","https://openalex.org/W1600276254","https://openalex.org/W1966818575","https://openalex.org/W1968589019","https://openalex.org/W1974780125","https://openalex.org/W1979125426","https://openalex.org/W1992961908","https://openalex.org/W1993022127","https://openalex.org/W2005073772","https://openalex.org/W2019612949","https://openalex.org/W2047029347","https://openalex.org/W2053913299","https://openalex.org/W2054506822","https://openalex.org/W2060279450","https://openalex.org/W2067869061","https://openalex.org/W2069323107","https://openalex.org/W2071185414","https://openalex.org/W2078491260","https://openalex.org/W2090869823","https://openalex.org/W2098057602","https://openalex.org/W2102069589","https://openalex.org/W2109836508","https://openalex.org/W2122184638","https://openalex.org/W2124547294","https://openalex.org/W2124834959","https://openalex.org/W2143984715","https://openalex.org/W2150566919","https://openalex.org/W2151599207","https://openalex.org/W2154267133","https://openalex.org/W2156005575","https://openalex.org/W2156932943","https://openalex.org/W2159989013","https://openalex.org/W2162480849","https://openalex.org/W2162698522","https://openalex.org/W2163403580","https://openalex.org/W2164741953","https://openalex.org/W2167277498","https://openalex.org/W2169709581","https://openalex.org/W2312997001","https://openalex.org/W2491899631","https://openalex.org/W2538885589","https://openalex.org/W2787523326","https://openalex.org/W4230982142"],"related_works":["https://openalex.org/W2132083814","https://openalex.org/W2292979300","https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907"],"abstract_inverted_index":{"The":[0],"main":[1],"goal":[2],"of":[3,45,51,61,134,170,185],"remote":[4],"sensing":[5],"image":[6],"classification":[7,215],"is":[8,90],"to":[9,14,64,81,91,136,175,199],"associate":[10],"land":[11],"cover":[12],"classes":[13],"each":[15],"pixel":[16,172],"in":[17,79,213],"the":[18,38,42,49,59,84,100,108,116,121,126,152,183,201,211,214],"monitored":[19],"area.":[20],"In":[21,139],"this":[22,140],"sense,":[23],"hyperspectral":[24],"images":[25],"play":[26],"a":[27,93,124,132,144,171],"key":[28],"role":[29],"by":[30,120,157,204],"providing":[31],"detailed":[32],"spectral":[33,46,163],"information":[34],"per":[35],"pixel.":[36],"On":[37],"other":[39],"hand,":[40],"although":[41],"huge":[43],"amount":[44],"bands":[47,102,156,198],"enables":[48],"creation":[50],"more":[52],"accurate":[53],"thematic":[54],"maps,":[55],"they":[56],"can":[57,130,167,194],"compromise":[58],"quality":[60,184],"results":[62,189,207],"due":[63],"data":[65,203],"redundancy,":[66],"high-dimensionality":[67],"problems":[68],"and":[69],"noisy":[70],"bands.":[71,187],"Many":[72],"dimensionality":[73,109,127],"reduction":[74,128,181],"techniques":[75],"have":[76],"been":[77],"proposed":[78],"order":[80],"better":[82],"use":[83],"available":[85],"information.":[86],"An":[87],"effective":[88],"strategy":[89,174],"perform":[92],"band":[94,147],"selection,":[95],"which":[96],"aims":[97],"at":[98],"selecting":[99],"best":[101],"for":[103],"classification.":[104],"This":[105],"process":[106,129],"decreases":[107],"without":[110,179],"degrading":[111],"information,":[112],"i.e.,":[113],"it":[114],"keeps":[115],"physical":[117],"properties":[118],"acquired":[119],"sensors.":[122],"As":[123],"drawback,":[125],"take":[131,168],"lot":[133],"time":[135],"be":[137],"performed.":[138],"paper,":[141],"we":[142],"propose":[143],"new":[145],"unsupervised":[146],"selection":[148],"method":[149,193],"based":[150],"on":[151,182],"dissimilarity":[153],"among":[154],"neighboring":[155],"exploiting":[158],"an":[159],"intermediary":[160],"representation":[161],"called":[162],"rhythm.":[164],"Our":[165],"approach":[166],"advantage":[169],"sampling":[173],"improve":[176],"its":[177],"efficiency":[178],"significant":[180],"selected":[186],"Experimental":[188],"reveal":[190],"that":[191],"our":[192],"efficiently":[195],"select":[196],"suitable":[197],"represent":[200],"whole":[202],"producing":[205],"accuracy":[206],"as":[208,210],"good":[209],"baselines":[212],"problem.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}