{"id":"https://openalex.org/W2140240151","doi":"https://doi.org/10.1109/tgrs.2008.2002953","title":"Experimental Approach to the Selection of the Components in the Minimum Noise Fraction","display_name":"Experimental Approach to the Selection of the Components in the Minimum Noise Fraction","publication_year":2008,"publication_date":"2008-12-08","ids":{"openalex":"https://openalex.org/W2140240151","doi":"https://doi.org/10.1109/tgrs.2008.2002953","mag":"2140240151"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2008.2002953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2008.2002953","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/A5045153980","display_name":"Umberto Amato","orcid":"https://orcid.org/0000-0003-1482-4898"},"institutions":[{"id":"https://openalex.org/I197604219","display_name":"National Academies of Sciences, Engineering, and Medicine","ror":"https://ror.org/02eq2w707","country_code":"US","type":"government","lineage":["https://openalex.org/I197604219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"U. Amato","raw_affiliation_strings":["Institute of Applications of Calculus, Italian National Council of Research, Naples, Italy","Inst. for Applic. of Calculus, Italian Nat. Res. Council, Naples"],"affiliations":[{"raw_affiliation_string":"Institute of Applications of Calculus, Italian National Council of Research, Naples, Italy","institution_ids":[]},{"raw_affiliation_string":"Inst. for Applic. of Calculus, Italian Nat. Res. Council, Naples","institution_ids":["https://openalex.org/I197604219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062915843","display_name":"Rosa Maria Cavalli","orcid":"https://orcid.org/0000-0002-3680-4890"},"institutions":[{"id":"https://openalex.org/I4210158892","display_name":"Institute of Atmospheric Pollution Research","ror":"https://ror.org/05hky6p02","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210155236","https://openalex.org/I4210158892"]},{"id":"https://openalex.org/I197604219","display_name":"National Academies of Sciences, Engineering, and Medicine","ror":"https://ror.org/02eq2w707","country_code":"US","type":"government","lineage":["https://openalex.org/I197604219"]}],"countries":["IT","US"],"is_corresponding":false,"raw_author_name":"R.M. Cavalli","raw_affiliation_strings":["Airborne Laboratory of Environmental Research, Institute of Atmospheric Pollution, Italian National Council of Research, Rome, Italy","Airborne Lab. for Environ. Res., Italian Nat. Res. Council, Rome"],"affiliations":[{"raw_affiliation_string":"Airborne Laboratory of Environmental Research, Institute of Atmospheric Pollution, Italian National Council of Research, Rome, Italy","institution_ids":["https://openalex.org/I4210158892"]},{"raw_affiliation_string":"Airborne Lab. for Environ. Res., Italian Nat. Res. Council, Rome","institution_ids":["https://openalex.org/I197604219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089051713","display_name":"Angelo Palombo","orcid":"https://orcid.org/0000-0003-1746-0057"},"institutions":[{"id":"https://openalex.org/I4210115556","display_name":"National Research Council - Institute of Methodologies for Environmental Analysis","ror":"https://ror.org/024ye7w89","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210115556","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"A. Palombo","raw_affiliation_strings":["Institute of Methodologies of Environmental Analysis, Italian National Council of Research, Potenza, Italy","Inst. of Methodologies for Environ. Anal., Italian Nat. Res. Council, Potenza"],"affiliations":[{"raw_affiliation_string":"Institute of Methodologies of Environmental Analysis, Italian National Council of Research, Potenza, Italy","institution_ids":["https://openalex.org/I4210115556"]},{"raw_affiliation_string":"Inst. of Methodologies for Environ. Anal., Italian Nat. Res. Council, Potenza","institution_ids":["https://openalex.org/I4210115556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011054993","display_name":"Stefano Pignatti","orcid":"https://orcid.org/0000-0002-0587-8926"},"institutions":[{"id":"https://openalex.org/I4210115556","display_name":"National Research Council - Institute of Methodologies for Environmental Analysis","ror":"https://ror.org/024ye7w89","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210115556","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"S. Pignatti","raw_affiliation_strings":["Institute of Methodologies of Environmental Analysis, Italian National Council of Research, Potenza, Italy","Inst. of Methodologies for Environ. Anal., Italian Nat. Res. Council, Potenza"],"affiliations":[{"raw_affiliation_string":"Institute of Methodologies of Environmental Analysis, Italian National Council of Research, Potenza, Italy","institution_ids":["https://openalex.org/I4210115556"]},{"raw_affiliation_string":"Inst. of Methodologies for Environ. Anal., Italian Nat. Res. Council, Potenza","institution_ids":["https://openalex.org/I4210115556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082135242","display_name":"Federico Santini","orcid":"https://orcid.org/0000-0001-9577-0005"},"institutions":[{"id":"https://openalex.org/I197604219","display_name":"National Academies of Sciences, Engineering, and Medicine","ror":"https://ror.org/02eq2w707","country_code":"US","type":"government","lineage":["https://openalex.org/I197604219"]},{"id":"https://openalex.org/I4210158892","display_name":"Institute of Atmospheric Pollution Research","ror":"https://ror.org/05hky6p02","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210155236","https://openalex.org/I4210158892"]}],"countries":["IT","US"],"is_corresponding":false,"raw_author_name":"F. Santini","raw_affiliation_strings":["Airborne Laboratory of Environmental Research, Institute of Atmospheric Pollution, Italian National Council of Research, Rome, Italy","Airborne Lab. for Environ. Res., Italian Nat. Res. Council, Rome"],"affiliations":[{"raw_affiliation_string":"Airborne Laboratory of Environmental Research, Institute of Atmospheric Pollution, Italian National Council of Research, Rome, Italy","institution_ids":["https://openalex.org/I4210158892"]},{"raw_affiliation_string":"Airborne Lab. for Environ. Res., Italian Nat. Res. Council, Rome","institution_ids":["https://openalex.org/I197604219"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5045153980"],"corresponding_institution_ids":["https://openalex.org/I197604219"],"apc_list":null,"apc_paid":null,"fwci":4.7893,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.94530451,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"47","issue":"1","first_page":"153","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994000196456909,"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":0.9994000196456909,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7353259921073914},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7314929962158203},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6400520205497742},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6399289965629578},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.5753981471061707},{"id":"https://openalex.org/keywords/fraction","display_name":"Fraction (chemistry)","score":0.5295962691307068},{"id":"https://openalex.org/keywords/spectrometer","display_name":"Spectrometer","score":0.5265657901763916},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5256608128547668},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5008792877197266},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45926937460899353},{"id":"https://openalex.org/keywords/imaging-spectrometer","display_name":"Imaging spectrometer","score":0.45092129707336426},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3765389323234558},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3602524995803833},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21772795915603638},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1604921817779541},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1104755699634552},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08864116668701172}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7353259921073914},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7314929962158203},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6400520205497742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6399289965629578},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.5753981471061707},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.5295962691307068},{"id":"https://openalex.org/C33390570","wikidata":"https://www.wikidata.org/wiki/Q188463","display_name":"Spectrometer","level":2,"score":0.5265657901763916},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5256608128547668},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5008792877197266},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45926937460899353},{"id":"https://openalex.org/C183852935","wikidata":"https://www.wikidata.org/wiki/Q6002848","display_name":"Imaging spectrometer","level":3,"score":0.45092129707336426},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3765389323234558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3602524995803833},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21772795915603638},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1604921817779541},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1104755699634552},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08864116668701172},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2008.2002953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2008.2002953","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W51257920","https://openalex.org/W121901878","https://openalex.org/W223139331","https://openalex.org/W248591590","https://openalex.org/W600841143","https://openalex.org/W1623080549","https://openalex.org/W1641376073","https://openalex.org/W1879164332","https://openalex.org/W2032005532","https://openalex.org/W2038308334","https://openalex.org/W2046245205","https://openalex.org/W2050321887","https://openalex.org/W2053715587","https://openalex.org/W2070510131","https://openalex.org/W2075665712","https://openalex.org/W2080422491","https://openalex.org/W2109115094","https://openalex.org/W2118634086","https://openalex.org/W2121322362","https://openalex.org/W2128046053","https://openalex.org/W2133664662","https://openalex.org/W2136625467","https://openalex.org/W2140203363","https://openalex.org/W2142635246","https://openalex.org/W2149684740","https://openalex.org/W2157507995","https://openalex.org/W2166426208","https://openalex.org/W2333836441","https://openalex.org/W3011532417","https://openalex.org/W3203960633","https://openalex.org/W4285719527","https://openalex.org/W6602128573","https://openalex.org/W6609411021","https://openalex.org/W6618124791","https://openalex.org/W6639312091","https://openalex.org/W6677701876"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W1544811710","https://openalex.org/W2124951708","https://openalex.org/W172072032","https://openalex.org/W2006066416","https://openalex.org/W3157073418","https://openalex.org/W2036976283","https://openalex.org/W3143887424"],"abstract_inverted_index":{"An":[0],"experimental":[1,34],"method":[2,29],"to":[3,17,115,132],"select":[4],"the":[5,92,103,128,134,164],"number":[6,105,135,166],"of":[7,60,81,106,136,167],"principal":[8],"components":[9,107,137,168],"in":[10,38,108],"minimum":[11],"noise":[12,43],"fraction":[13],"(MNF)":[14],"is":[15,30,74,83,146,169],"proposed":[16],"process":[18],"images":[19,63,73,99],"measured":[20],"by":[21,36,150],"imagery":[22],"sensors":[23],"onboard":[24],"aircraft":[25],"or":[26],"satellites.":[27],"The":[28,143],"based":[31,64],"on":[32,65,140],"an":[33,117],"measurement":[35],"spectrometers":[37],"dark":[39],"conditions":[40,52],"from":[41],"which":[42],"structure":[44],"can":[45,110],"be":[46,111],"estimated.":[47],"To":[48,76],"represent":[49,91],"typical":[50],"land":[51],"and":[53,69,100,127],"atmospheric":[54],"variability,":[55],"a":[56,79,159],"significative":[57],"data":[58,120],"set":[59],"synthetic":[61,98],"noise-free":[62],"real":[66],"Multispectral":[67],"Infrared":[68],"Visible":[70],"Imaging":[71],"Spectrometer":[72],"built.":[75],"this":[77],"purpose,":[78],"subset":[80],"spectra":[82],"selected":[84],"within":[85],"some":[86,123,151],"public":[87],"libraries":[88],"that":[89,153],"well":[90],"simulated":[93],"images.":[94],"By":[95],"coupling":[96],"these":[97],"estimated":[101],"noise,":[102],"optimal":[104,165],"MNF":[109],"obtained.":[112],"In":[113],"order":[114],"have":[116],"objective":[118],"(fully":[119],"driven)":[121],"procedure,":[122],"criteria":[124],"are":[125,130,154],"proposed,":[126],"results":[129],"validated":[131],"estimate":[133],"without":[138],"relying":[139],"ancillary":[141],"data.":[142],"whole":[144],"procedure":[145],"made":[147],"computationally":[148],"feasible":[149],"simplifications":[152],"introduced.":[155],"A":[156],"comparison":[157],"with":[158],"state-of-the-art":[160],"algorithm":[161],"for":[162],"estimating":[163],"also":[170],"made.":[171]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
