{"id":"https://openalex.org/W2113313251","doi":"https://doi.org/10.1109/fuzzy.2007.4295416","title":"Accuracy benefits of a fuzzy classifier in remote sensing data classification of snow","display_name":"Accuracy benefits of a fuzzy classifier in remote sensing data classification of snow","publication_year":2007,"publication_date":"2007-06-01","ids":{"openalex":"https://openalex.org/W2113313251","doi":"https://doi.org/10.1109/fuzzy.2007.4295416","mag":"2113313251"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2007.4295416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2007.4295416","pdf_url":null,"source":{"id":"https://openalex.org/S4210187232","display_name":"Proceedings of ... IEEE International Conference on Fuzzy Systems","issn_l":"1098-7584","issn":["1098-7584"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Fuzzy Systems Conference","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/A5069445894","display_name":"Monica Pepe","orcid":"https://orcid.org/0000-0001-5473-1050"},"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/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT","US"],"is_corresponding":true,"raw_author_name":"Monica Pepe","raw_affiliation_strings":["Institute for Electromagnetic Sensing of Environment, Milan Section, National Research Council, Milan, Italy","Nat. Res. Council of Italy, Milan"],"affiliations":[{"raw_affiliation_string":"Institute for Electromagnetic Sensing of Environment, Milan Section, National Research Council, Milan, Italy","institution_ids":["https://openalex.org/I4210155236"]},{"raw_affiliation_string":"Nat. Res. Council of Italy, Milan","institution_ids":["https://openalex.org/I197604219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030974111","display_name":"Luigi Boschetti","orcid":"https://orcid.org/0000-0001-6525-4413"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luigi Boschetti","raw_affiliation_strings":["Department of Geography, University of Maryland, College Park, MD, USA","Department of Geography, University of Maryland, 4321 Hartwick Road, Suite 209, College Park, MD 20740, USA. phone: +1 301 4059845 ; email: luigi.boschetti@hermes.geog.umd.edu"],"affiliations":[{"raw_affiliation_string":"Department of Geography, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Department of Geography, University of Maryland, 4321 Hartwick Road, Suite 209, College Park, MD 20740, USA. phone: +1 301 4059845 ; email: luigi.boschetti@hermes.geog.umd.edu","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069864605","display_name":"Pietro Alessandro Brivio","orcid":"https://orcid.org/0000-0002-5477-3194"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"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":"Pietro Alessandro Brivio","raw_affiliation_strings":["Institute for Electromagnetic Sensing of Environment, Milan Section, National Research Council, Milan, Italy","Nat. Res. Council of Italy, Milan"],"affiliations":[{"raw_affiliation_string":"Institute for Electromagnetic Sensing of Environment, Milan Section, National Research Council, Milan, Italy","institution_ids":["https://openalex.org/I4210155236"]},{"raw_affiliation_string":"Nat. Res. Council of Italy, Milan","institution_ids":["https://openalex.org/I197604219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059679785","display_name":"Anna Rampini","orcid":"https://orcid.org/0000-0002-9755-8195"},"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/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT","US"],"is_corresponding":false,"raw_author_name":"Anna Rampini","raw_affiliation_strings":["Institute for Electromagnetic Sensing of Environment, Milan Section, National Research Council, Milan, Italy","Nat. Res. Council of Italy, Milan"],"affiliations":[{"raw_affiliation_string":"Institute for Electromagnetic Sensing of Environment, Milan Section, National Research Council, Milan, Italy","institution_ids":["https://openalex.org/I4210155236"]},{"raw_affiliation_string":"Nat. Res. Council of Italy, Milan","institution_ids":["https://openalex.org/I197604219"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069445894"],"corresponding_institution_ids":["https://openalex.org/I197604219","https://openalex.org/I4210155236"],"apc_list":null,"apc_paid":null,"fwci":2.4854,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.84433962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9998999834060669,"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/T11333","display_name":"Climate change and permafrost","score":0.9957000017166138,"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/T10535","display_name":"Landslides and related hazards","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7708512544631958},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6669741868972778},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6514124870300293},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5915379524230957},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5652884244918823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5416454076766968},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.514090359210968},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.48728930950164795},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.47193261981010437},{"id":"https://openalex.org/keywords/snow","display_name":"Snow","score":0.4388101100921631},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4234652519226074},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37091678380966187},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.15208104252815247},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14614292979240417},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.11501750349998474},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11060860753059387},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09582465887069702}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7708512544631958},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6669741868972778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6514124870300293},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5915379524230957},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5652884244918823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5416454076766968},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.514090359210968},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.48728930950164795},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.47193261981010437},{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.4388101100921631},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4234652519226074},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37091678380966187},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.15208104252815247},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14614292979240417},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.11501750349998474},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11060860753059387},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09582465887069702},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2007.4295416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2007.4295416","pdf_url":null,"source":{"id":"https://openalex.org/S4210187232","display_name":"Proceedings of ... IEEE International Conference on Fuzzy Systems","issn_l":"1098-7584","issn":["1098-7584"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Fuzzy Systems Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332183","display_name":"U.S. Geological Survey","ror":"https://ror.org/035a68863"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1482289351","https://openalex.org/W1522412705","https://openalex.org/W1648556314","https://openalex.org/W1652361745","https://openalex.org/W1983463155","https://openalex.org/W1987882549","https://openalex.org/W2001747857","https://openalex.org/W2013098885","https://openalex.org/W2022106079","https://openalex.org/W2031300801","https://openalex.org/W2033084889","https://openalex.org/W2047122864","https://openalex.org/W2082614428","https://openalex.org/W2096842752","https://openalex.org/W2114828048","https://openalex.org/W2117396433","https://openalex.org/W2135545639","https://openalex.org/W2151036870","https://openalex.org/W2170291192","https://openalex.org/W2170548704","https://openalex.org/W4214564766"],"related_works":["https://openalex.org/W2314704010","https://openalex.org/W1584003442","https://openalex.org/W2615806692","https://openalex.org/W2080965330","https://openalex.org/W2547534968","https://openalex.org/W2005234362","https://openalex.org/W2162970382","https://openalex.org/W1997235926","https://openalex.org/W2043913960","https://openalex.org/W2046697080"],"abstract_inverted_index":{"The":[0],"accuracy":[1],"of":[2,38,58,65,96,102,113],"snow":[3,18],"mapping":[4],"from":[5],"satellite":[6,124],"remote":[7,83],"sensing":[8,84],"is":[9,34,75],"affected":[10,77],"by":[11,78],"several":[12],"inconveniences":[13],"-topography,":[14],"cloud":[15],"cover,":[16],"patchy":[17],"pack":[19],"-which":[20],"cause":[21],"high":[22,121],"scene":[23],"variability":[24],"and":[25,101,120],"uncertainties":[26],"in":[27,82],"classification.":[28],"When":[29],"a":[30,72,97],"hard":[31,103],"classifier":[32,74,100,141],"approach":[33],"adopted,":[35],"the":[36,44,55,59,63,69,94,110,134,139,144],"presence":[37,64],"mixed":[39,66],"coverage":[40],"pixels":[41,67],"implies":[42],"that":[43,61],"final":[45],"product":[46],"will":[47],"have":[48,106],"errors.":[49],"Errors":[50],"are":[51],"strictly":[52],"connected":[53],"to":[54,142],"spatial":[56,122],"resolution":[57,123],"data,":[60],"rules":[62],"within":[68],"scene.":[70],"Theoretically,":[71],"soft":[73,140],"not":[76,88],"such":[79],"errors,":[80],"but":[81],"applications":[85],"this":[86,92],"has":[87],"been":[89,107],"demonstrated.":[90],"In":[91],"study":[93],"efficiencies":[95],"fuzzy":[98],"statistical":[99],"classification":[104],"approaches":[105],"compared":[108],"adopting":[109],"'Pareto":[111],"Boundary":[112],"optimal":[114],"solutions'":[115],"as":[116],"assessing":[117],"method.":[118],"Low":[119],"images":[125],"acquired":[126],"over":[127],"two":[128],"Alpine":[129],"landscapes":[130],"were":[131],"used":[132],"for":[133],"inter-comparison":[135],"exercise.":[136],"Results":[137],"proved":[138],"outperform":[143],"traditional":[145],"approaches.":[146]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}