{"id":"https://openalex.org/W2051877122","doi":"https://doi.org/10.1109/whispers.2011.6080866","title":"Benefits of signal-dependent noise reduction for spectral analysis of data from advanced imaging spectrometers","display_name":"Benefits of signal-dependent noise reduction for spectral analysis of data from advanced imaging spectrometers","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2051877122","doi":"https://doi.org/10.1109/whispers.2011.6080866","mag":"2051877122"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2011.6080866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2011.6080866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-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/A5035398406","display_name":"Bruno Aiazzi","orcid":"https://orcid.org/0000-0003-3933-2320"},"institutions":[{"id":"https://openalex.org/I4210092323","display_name":"Nello Carrara Institute of Applied Physics","ror":"https://ror.org/00dqega85","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210092323","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"B. Aiazzi","raw_affiliation_strings":["IFAC-CNR, Sesto Fiorentino, Italy","IFAC-CNR, via Madonna del Piano 10, 50019 Sesto Fiorentino (FI), Italy"],"affiliations":[{"raw_affiliation_string":"IFAC-CNR, Sesto Fiorentino, Italy","institution_ids":["https://openalex.org/I4210092323"]},{"raw_affiliation_string":"IFAC-CNR, via Madonna del Piano 10, 50019 Sesto Fiorentino (FI), Italy","institution_ids":["https://openalex.org/I4210092323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052624884","display_name":"Luciano Alparone","orcid":"https://orcid.org/0000-0002-8984-938X"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"L. Alparone","raw_affiliation_strings":["University of Florence, Florence, Italy","University of Florence, Via Santa Marta, 3, 50139, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]},{"raw_affiliation_string":"University of Florence, Via Santa Marta, 3, 50139, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061007254","display_name":"Stefano Baronti","orcid":"https://orcid.org/0000-0003-0492-0886"},"institutions":[{"id":"https://openalex.org/I4210092323","display_name":"Nello Carrara Institute of Applied Physics","ror":"https://ror.org/00dqega85","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210092323","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"S. Baronti","raw_affiliation_strings":["IFAC-CNR, Sesto Fiorentino, Italy","IFAC-CNR, via Madonna del Piano 10, 50019 Sesto Fiorentino (FI), Italy"],"affiliations":[{"raw_affiliation_string":"IFAC-CNR, Sesto Fiorentino, Italy","institution_ids":["https://openalex.org/I4210092323"]},{"raw_affiliation_string":"IFAC-CNR, via Madonna del Piano 10, 50019 Sesto Fiorentino (FI), Italy","institution_ids":["https://openalex.org/I4210092323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045984378","display_name":"Francesco Butera","orcid":null},"institutions":[{"id":"https://openalex.org/I2800251467","display_name":"Istituto Nazionale di Fisica Nucleare, Galileo Galilei Institute for Theoretical Physics","ror":"https://ror.org/030ws5c69","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I2800251467","https://openalex.org/I45084792"]},{"id":"https://openalex.org/I76806421","display_name":"SELEX Sistemi Integrati","ror":"https://ror.org/02sj0zy88","country_code":"IT","type":"company","lineage":["https://openalex.org/I76806421"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"F. Butera","raw_affiliation_strings":["SElectrical Galileo SpA, Campi Bisenzio, Italy","Selex Galileo SpA, Via Einstein, 35, 50015 Campi Bisenzio, Italy"],"affiliations":[{"raw_affiliation_string":"SElectrical Galileo SpA, Campi Bisenzio, Italy","institution_ids":["https://openalex.org/I2800251467"]},{"raw_affiliation_string":"Selex Galileo SpA, Via Einstein, 35, 50015 Campi Bisenzio, Italy","institution_ids":["https://openalex.org/I76806421"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050439799","display_name":"Leandro Chiarantini","orcid":"https://orcid.org/0000-0001-9471-057X"},"institutions":[{"id":"https://openalex.org/I76806421","display_name":"SELEX Sistemi Integrati","ror":"https://ror.org/02sj0zy88","country_code":"IT","type":"company","lineage":["https://openalex.org/I76806421"]},{"id":"https://openalex.org/I2800251467","display_name":"Istituto Nazionale di Fisica Nucleare, Galileo Galilei Institute for Theoretical Physics","ror":"https://ror.org/030ws5c69","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I2800251467","https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"L. Chiarantini","raw_affiliation_strings":["SElectrical Galileo SpA, Campi Bisenzio, Italy","Selex Galileo SpA, Via Einstein, 35, 50015 Campi Bisenzio, Italy"],"affiliations":[{"raw_affiliation_string":"SElectrical Galileo SpA, Campi Bisenzio, Italy","institution_ids":["https://openalex.org/I2800251467"]},{"raw_affiliation_string":"Selex Galileo SpA, Via Einstein, 35, 50015 Campi Bisenzio, Italy","institution_ids":["https://openalex.org/I76806421"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064642130","display_name":"Massimo Selva","orcid":"https://orcid.org/0000-0003-3202-5029"},"institutions":[{"id":"https://openalex.org/I4210092323","display_name":"Nello Carrara Institute of Applied Physics","ror":"https://ror.org/00dqega85","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210092323","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M. Selva","raw_affiliation_strings":["IFAC-CNR, Sesto Fiorentino, Italy","IFAC-CNR, via Madonna del Piano 10, 50019 Sesto Fiorentino (FI), Italy"],"affiliations":[{"raw_affiliation_string":"IFAC-CNR, Sesto Fiorentino, Italy","institution_ids":["https://openalex.org/I4210092323"]},{"raw_affiliation_string":"IFAC-CNR, via Madonna del Piano 10, 50019 Sesto Fiorentino (FI), Italy","institution_ids":["https://openalex.org/I4210092323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5035398406"],"corresponding_institution_ids":["https://openalex.org/I4210092323"],"apc_list":null,"apc_paid":null,"fwci":3.0255,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91798349,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T12050","display_name":"Optical Polarization and Ellipsometry","score":0.9965000152587891,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9930999875068665,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7728743553161621},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7236934900283813},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.565596342086792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.543657660484314},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.537161111831665},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5263453722000122},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5062764883041382},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4890807271003723},{"id":"https://openalex.org/keywords/imaging-spectrometer","display_name":"Imaging spectrometer","score":0.4802989363670349},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.48009708523750305},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4469258189201355},{"id":"https://openalex.org/keywords/spectrometer","display_name":"Spectrometer","score":0.44193360209465027},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4203932285308838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38489747047424316},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34991857409477234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2838044762611389},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2211231291294098},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21418234705924988},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19944864511489868},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13350489735603333},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.07825464010238647},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07193237543106079}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7728743553161621},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7236934900283813},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.565596342086792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.543657660484314},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.537161111831665},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5263453722000122},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5062764883041382},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4890807271003723},{"id":"https://openalex.org/C183852935","wikidata":"https://www.wikidata.org/wiki/Q6002848","display_name":"Imaging spectrometer","level":3,"score":0.4802989363670349},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.48009708523750305},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4469258189201355},{"id":"https://openalex.org/C33390570","wikidata":"https://www.wikidata.org/wiki/Q188463","display_name":"Spectrometer","level":2,"score":0.44193360209465027},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4203932285308838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38489747047424316},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34991857409477234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2838044762611389},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2211231291294098},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21418234705924988},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19944864511489868},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13350489735603333},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.07825464010238647},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07193237543106079},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/whispers.2011.6080866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2011.6080866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},{"id":"pmh:oai:flore.unifi.it:2158/781129","is_oa":false,"landing_page_url":"http://hdl.handle.net/2158/781129","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W994592074","https://openalex.org/W2018010187","https://openalex.org/W3203960633","https://openalex.org/W4212783130","https://openalex.org/W6626122873","https://openalex.org/W7055018774"],"related_works":["https://openalex.org/W2746742660","https://openalex.org/W2082586825","https://openalex.org/W2119473622","https://openalex.org/W2561005839","https://openalex.org/W2474469778","https://openalex.org/W2944460852","https://openalex.org/W2138540356","https://openalex.org/W2171464537","https://openalex.org/W1529476013","https://openalex.org/W2165780522"],"abstract_inverted_index":{"This":[0],"paper":[1],"shows":[2],"that":[3,149],"the":[4,9,21,27,43,47,50,55,61,68,71,87,110,115,121,125,129,139,154,157],"signal":[5,88,130],"dependent":[6,131],"nature":[7],"of":[8,42,46,54,63,117,124,128,141,156],"noise":[10,29,52,90,132],"introduced":[11],"by":[12,26],"up":[13],"to":[14,89,106,146],"date":[15],"imaging":[16],"spectrometers":[17],"is":[18,97],"crucial":[19],"for":[20],"spectral":[22,104],"analysis":[23,105],"carried":[24],"out":[25],"maximum":[28],"fraction":[30],"(MNF)":[31],"transformation,":[32,112,143],"which":[33],"requires":[34],"a":[35,102],"preliminary":[36],"estimation,":[37],"either":[38],"supervised":[39],"or":[40],"not,":[41],"covariance":[44,126],"matrix":[45,127],"noise.":[48],"Once":[49],"parametric":[51],"model":[53],"instrument":[56],"has":[57],"been":[58],"estimated":[59],"with":[60],"aid":[62],"calibration":[64,118],"panels":[65],"placed":[66],"within":[67],"imaged":[69],"scene,":[70],"mixed":[72],"noise,":[73],"i.e.":[74],"photonic":[75],"+":[76],"electronic,":[77],"can":[78],"be":[79,107],"removed.":[80],"Noise":[81],"filtering":[82],"provides":[83],"negligible":[84],"improvements":[85],"in":[86,114,138],"ratio":[91],"(SNR),":[92],"at":[93],"least":[94],"whenever":[95],"SNR":[96],"sufficiently":[98],"high,":[99],"but":[100],"allows":[101],"correct":[103],"accomplished":[108],"via":[109],"MNF":[111,142],"also":[113],"absence":[116],"panels.":[119],"Conversely,":[120],"unsupervised":[122],"estimation":[123],"may":[133],"introduce":[134],"unpredictable":[135],"gross":[136],"errors":[137],"calculation":[140],"thereby":[144],"leading":[145],"transformed":[147],"components":[148],"do":[150],"not":[151],"adequately":[152],"capture":[153],"energy":[155],"hyperspectral":[158],"data.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}