{"id":"https://openalex.org/W2063220925","doi":"https://doi.org/10.1109/jstars.2013.2241022","title":"Effect of Denoising in Band Selection for Regression Tasks in Hyperspectral Datasets","display_name":"Effect of Denoising in Band Selection for Regression Tasks in Hyperspectral Datasets","publication_year":2013,"publication_date":"2013-02-13","ids":{"openalex":"https://openalex.org/W2063220925","doi":"https://doi.org/10.1109/jstars.2013.2241022","mag":"2063220925"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2013.2241022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2013.2241022","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5015011713","display_name":"P. Carmona","orcid":"https://orcid.org/0000-0001-6984-5173"},"institutions":[{"id":"https://openalex.org/I10902133","display_name":"Universitat Jaume I","ror":"https://ror.org/02ws1xc11","country_code":"ES","type":"education","lineage":["https://openalex.org/I10902133"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Pedro Latorre-Carmona","raw_affiliation_strings":["Institute of New Imaging Technologies, Universidad Jaume I, Castellon de la Plana, Spain","Inst. of New Imaging Technol., Univ. Jaume I, Castello\u0301n de la Plana, Spain"],"affiliations":[{"raw_affiliation_string":"Institute of New Imaging Technologies, Universidad Jaume I, Castellon de la Plana, Spain","institution_ids":["https://openalex.org/I10902133"]},{"raw_affiliation_string":"Inst. of New Imaging Technol., Univ. Jaume I, Castello\u0301n de la Plana, Spain","institution_ids":["https://openalex.org/I10902133"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083418958","display_name":"Jos\u00e9 Mart\u00ednez Sotoca","orcid":"https://orcid.org/0000-0002-3957-2589"},"institutions":[{"id":"https://openalex.org/I10902133","display_name":"Universitat Jaume I","ror":"https://ror.org/02ws1xc11","country_code":"ES","type":"education","lineage":["https://openalex.org/I10902133"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose Martinez Sotoca","raw_affiliation_strings":["Institute of New Imaging Technologies, Universidad Jaume I, Castellon de la Plana, Spain","Inst. of New Imaging Technol., Univ. Jaume I, Castello\u0301n de la Plana, Spain"],"affiliations":[{"raw_affiliation_string":"Institute of New Imaging Technologies, Universidad Jaume I, Castellon de la Plana, Spain","institution_ids":["https://openalex.org/I10902133"]},{"raw_affiliation_string":"Inst. of New Imaging Technol., Univ. Jaume I, Castello\u0301n de la Plana, Spain","institution_ids":["https://openalex.org/I10902133"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025400834","display_name":"Filiberto Pla","orcid":"https://orcid.org/0000-0003-0054-3489"},"institutions":[{"id":"https://openalex.org/I10902133","display_name":"Universitat Jaume I","ror":"https://ror.org/02ws1xc11","country_code":"ES","type":"education","lineage":["https://openalex.org/I10902133"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Filiberto Pla","raw_affiliation_strings":["Institute of New Imaging Technologies, Universidad Jaume I, Castellon de la Plana, Spain","Inst. of New Imaging Technol., Univ. Jaume I, Castello\u0301n de la Plana, Spain"],"affiliations":[{"raw_affiliation_string":"Institute of New Imaging Technologies, Universidad Jaume I, Castellon de la Plana, Spain","institution_ids":["https://openalex.org/I10902133"]},{"raw_affiliation_string":"Inst. of New Imaging Technol., Univ. Jaume I, Castello\u0301n de la Plana, Spain","institution_ids":["https://openalex.org/I10902133"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017508063","display_name":"Jos\u00e9 M. Bioucas\u2010Dias","orcid":"https://orcid.org/0000-0002-0166-5149"},"institutions":[{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]},{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Jose Bioucas-Dias","raw_affiliation_strings":["Instituto de Telecomunica\u00e7\u00f5es and Instituto Superior T\u00e9cnico, Technical University of Lisbon, Lisboa, Portugal","Inst. de Telecomun., Tech. Univ. of Lisbon, Lisbon, Portugal#TAB#"],"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es and Instituto Superior T\u00e9cnico, Technical University of Lisbon, Lisboa, Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I141596103"]},{"raw_affiliation_string":"Inst. de Telecomun., Tech. Univ. of Lisbon, Lisbon, Portugal#TAB#","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046999910","display_name":"Carme Juli\u00e0","orcid":"https://orcid.org/0000-0003-3440-6175"},"institutions":[{"id":"https://openalex.org/I4387153096","display_name":"Computer Vision Center","ror":"https://ror.org/00s0nnj93","country_code":null,"type":"other","lineage":["https://openalex.org/I4387153040","https://openalex.org/I4387153096"]},{"id":"https://openalex.org/I4210122226","display_name":"Centre de Recerca Matem\u00e0tica","ror":"https://ror.org/020s51w82","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210122226","https://openalex.org/I4387153040"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Carme Julia Ferre","raw_affiliation_strings":["Computer Vision Center, Edifici O, Bellaterra, Spain","Comput. Vision Center, Bellaterra, Spain"],"affiliations":[{"raw_affiliation_string":"Computer Vision Center, Edifici O, Bellaterra, Spain","institution_ids":["https://openalex.org/I4210122226","https://openalex.org/I4387153096"]},{"raw_affiliation_string":"Comput. Vision Center, Bellaterra, Spain","institution_ids":["https://openalex.org/I4210122226"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5015011713"],"corresponding_institution_ids":["https://openalex.org/I10902133"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":3.8545,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.94183598,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"6","issue":"2","first_page":"473","last_page":"481"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9990000128746033,"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":0.9990000128746033,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9957000017166138,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9866999983787537,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8487235307693481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6561155915260315},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5908660888671875},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5861844420433044},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5741837620735168},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5728539228439331},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5697668790817261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5527540445327759},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.54442298412323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.519802451133728},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.43888524174690247},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43048542737960815},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4211093485355377},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2505354881286621},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2230728268623352},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06418710947036743}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8487235307693481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6561155915260315},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5908660888671875},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5861844420433044},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5741837620735168},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5728539228439331},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5697668790817261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5527540445327759},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.54442298412323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.519802451133728},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.43888524174690247},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43048542737960815},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4211093485355377},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2505354881286621},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2230728268623352},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06418710947036743},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2013.2241022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2013.2241022","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:repositori.uji.es:10234/87989","is_oa":false,"landing_page_url":"http://hdl.handle.net/10234/87989","pdf_url":null,"source":{"id":"https://openalex.org/S4306400303","display_name":"Repositori UJI (Universitat Jaume I)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I10902133","host_organization_name":"Universitat Jaume I","host_organization_lineage":["https://openalex.org/I10902133"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321864","display_name":"Generalitat Valenciana","ror":"https://ror.org/0097mvx21"},{"id":"https://openalex.org/F4320322930","display_name":"Ministerio de Ciencia e Innovaci\u00f3n","ror":"https://ror.org/034900433"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W230489401","https://openalex.org/W1755117326","https://openalex.org/W1968589019","https://openalex.org/W1977084785","https://openalex.org/W1989970896","https://openalex.org/W1990399122","https://openalex.org/W2002617716","https://openalex.org/W2013968785","https://openalex.org/W2017845276","https://openalex.org/W2022796289","https://openalex.org/W2045116453","https://openalex.org/W2051417316","https://openalex.org/W2070424424","https://openalex.org/W2071537507","https://openalex.org/W2085613981","https://openalex.org/W2092939357","https://openalex.org/W2094793482","https://openalex.org/W2098320370","https://openalex.org/W2103317921","https://openalex.org/W2116815574","https://openalex.org/W2120584064","https://openalex.org/W2120647186","https://openalex.org/W2121025745","https://openalex.org/W2122825543","https://openalex.org/W2131253515","https://openalex.org/W2141175568","https://openalex.org/W2143130611","https://openalex.org/W2150940164","https://openalex.org/W2151896708","https://openalex.org/W2163886442","https://openalex.org/W2165466912","https://openalex.org/W2172142075","https://openalex.org/W2406093411","https://openalex.org/W2997644599","https://openalex.org/W3089502740","https://openalex.org/W3100107458","https://openalex.org/W3124986623","https://openalex.org/W6608976349","https://openalex.org/W6637962894","https://openalex.org/W6682241100"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"comparative":[4],"analysis":[5],"of":[6,23,43,64,93],"six":[7],"band":[8,26,61],"selection":[9,27,62,79],"methods":[10,80,98],"applied":[11],"to":[12],"hyperspectral":[13,38],"datasets":[14,39],"for":[15,77,90,97],"biophysical":[16],"variable":[17],"estimation":[18],"problems,":[19],"where":[20],"the":[21,56,60,66,78,87,91,94],"effect":[22],"denoising":[24,57],"on":[25,86,103],"performance":[28],"has":[29],"also":[30],"been":[31],"analyzed.":[32],"In":[33],"particular,":[34],"we":[35],"consider":[36],"four":[37],"and":[40,49],"three":[41],"regressors":[42],"different":[44],"nature":[45],"(\u03b5-SVR,":[46],"Regression":[47],"Trees,":[48],"Kernel":[50],"Ridge":[51],"Regression).":[52],"Results":[53],"show":[54,70],"that":[55,71,81,99],"approach":[58],"improves":[59],"quality":[63],"all":[65],"tested":[67],"methods.":[68],"We":[69],"noise":[72],"filtering":[73],"is":[74],"more":[75],"beneficial":[76],"use":[82,100],"an":[83],"estimator":[84],"based":[85,102],"whole":[88],"dataset":[89],"prediction":[92],"output":[95],"than":[96],"strategies":[101],"local":[104],"information":[105],"(neighboring":[106],"points).":[107]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}