{"id":"https://openalex.org/W2130879571","doi":"https://doi.org/10.1109/fuzz.2001.1009112","title":"Combination of multiple classifiers by fuzzy integrals: an application to synthetic aperture radar (SAR) data","display_name":"Combination of multiple classifiers by fuzzy integrals: an application to synthetic aperture radar (SAR) data","publication_year":2005,"publication_date":"2005-08-24","ids":{"openalex":"https://openalex.org/W2130879571","doi":"https://doi.org/10.1109/fuzz.2001.1009112","mag":"2130879571"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz.2001.1009112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2001.1009112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297)","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/A5043896502","display_name":"P. Blonda","orcid":"https://orcid.org/0000-0003-4576-2669"},"institutions":[{"id":"https://openalex.org/I4210166800","display_name":"Intelligence for Environment and Security (Italy)","ror":"https://ror.org/05ve3t520","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210166800"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"P. Blonda","raw_affiliation_strings":["CNR IESS, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"CNR IESS, Bari, Italy","institution_ids":["https://openalex.org/I4210166800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009788034","display_name":"Cristina Tarantino","orcid":"https://orcid.org/0000-0003-3304-5355"},"institutions":[{"id":"https://openalex.org/I4210166800","display_name":"Intelligence for Environment and Security (Italy)","ror":"https://ror.org/05ve3t520","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210166800"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"C. Tarantino","raw_affiliation_strings":["CNR IESS, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"CNR IESS, Bari, Italy","institution_ids":["https://openalex.org/I4210166800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041558532","display_name":"A. D\u2019Addabbo","orcid":"https://orcid.org/0000-0002-3058-5340"},"institutions":[{"id":"https://openalex.org/I4210166800","display_name":"Intelligence for Environment and Security (Italy)","ror":"https://ror.org/05ve3t520","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210166800"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"A. D'Addabbo","raw_affiliation_strings":["CNR IESS, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"CNR IESS, Bari, Italy","institution_ids":["https://openalex.org/I4210166800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036633931","display_name":"Giuseppe Satalino","orcid":"https://orcid.org/0000-0003-1566-5497"},"institutions":[{"id":"https://openalex.org/I4210166800","display_name":"Intelligence for Environment and Security (Italy)","ror":"https://ror.org/05ve3t520","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210166800"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G. Satalino","raw_affiliation_strings":["CNR IESS, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"CNR IESS, Bari, Italy","institution_ids":["https://openalex.org/I4210166800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044740393","display_name":"G. Pasquariello","orcid":"https://orcid.org/0000-0001-8622-2058"},"institutions":[{"id":"https://openalex.org/I4210166800","display_name":"Intelligence for Environment and Security (Italy)","ror":"https://ror.org/05ve3t520","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210166800"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G. Pasquariello","raw_affiliation_strings":["CNR IESS, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"CNR IESS, Bari, Italy","institution_ids":["https://openalex.org/I4210166800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5043896502"],"corresponding_institution_ids":["https://openalex.org/I4210166800"],"apc_list":null,"apc_paid":null,"fwci":0.2937,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62188686,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"944","last_page":"947"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9958000183105469,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9958000183105469,"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"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7375496625900269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6795897483825684},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6639249920845032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6300098299980164},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5772337913513184},{"id":"https://openalex.org/keywords/choquet-integral","display_name":"Choquet integral","score":0.5431432127952576},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5256617665290833},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49715688824653625},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4396439790725708},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.4148562550544739},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.41425031423568726},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.3478756546974182},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3273257613182068}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7375496625900269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6795897483825684},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6639249920845032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6300098299980164},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5772337913513184},{"id":"https://openalex.org/C112799922","wikidata":"https://www.wikidata.org/wiki/Q5104911","display_name":"Choquet integral","level":3,"score":0.5431432127952576},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5256617665290833},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49715688824653625},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4396439790725708},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.4148562550544739},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.41425031423568726},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.3478756546974182},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3273257613182068}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz.2001.1009112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2001.1009112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1556265791","https://openalex.org/W1973941077","https://openalex.org/W2032926601","https://openalex.org/W2048890562","https://openalex.org/W2120916895","https://openalex.org/W2138845258","https://openalex.org/W2158275940","https://openalex.org/W2170548704","https://openalex.org/W4244786066","https://openalex.org/W6633350825","https://openalex.org/W6680457419"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W2523437662","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456","https://openalex.org/W2766585573","https://openalex.org/W4387490624"],"abstract_inverted_index":{"In":[0,80,111],"this":[1],"work,":[2],"the":[3,7,28,77,81,88,92,103,112,115,119,124,185],"results":[4,29,60,151],"obtained":[5,158],"in":[6],"classification":[8,35,71,187],"of":[9,20,30,55,87,102,118,128,138],"a":[10,21,31,39,53,100,107,180],"multi-source":[11],"-":[12],"multi-temporal":[13],"remote":[14],"sensed":[15],"data":[16],"set":[17,54,127],"by":[18,52,142,159],"means":[19],"distributed":[22,48,78,89],"neuro-fuzzy":[23],"system":[24,49,90,120],"are":[25],"compared":[26],"with":[27,63,76,99,123],"traditional":[32],"centralized":[33,176],"neural":[34,44,56,85,116,148],"system,":[36,177],"based":[37,178],"on":[38,179],"single":[40,181],"multilayer":[41],"perceptron":[42],"(MLP)":[43],"network":[45],"module.":[46],"The":[47,150,164,175],"is":[50],"composed":[51],"classifiers,":[57],"whose":[58],"partial":[59],"were":[61,73,121],"combined":[62],"both":[64],"Sugeno":[65,172],"and":[66],"Choquet":[67,165],"fuzzy":[68,166,173],"integrals.":[69],"Two":[70],"experiments":[72],"carried":[74],"out":[75],"system.":[79],"first":[82],"experiment,":[83,114],"each":[84,133],"module":[86],"used":[91],"same":[93,125],"learning":[94],"rule":[95],"but":[96,136],"was":[97],"trained":[98,122],"subset":[101],"input":[104,129],"features,":[105],"i.e.,":[106],"specific":[108,144],"spectral":[109],"band.":[110],"second":[113],"modules":[117],"complete":[126],"features":[130],"available":[131],"for":[132],"training":[134],"pixel,":[135],"consisted":[137],"MLP":[139,182],"networks":[140],"characterized":[141],"different":[143,147],"topologies":[145],"or":[146],"algorithms.":[149],"show":[152],"that":[153],"larger":[154],"improvements":[155],"can":[156],"be":[157],"combining":[160],"more":[161],"independent":[162],"classifiers.":[163],"integral":[167],"provided":[168,184],"better":[169],"performance":[170],"than":[171],"integral.":[174],"module,":[183],"best":[186],"performance.":[188]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}