{"id":"https://openalex.org/W2773321683","doi":"https://doi.org/10.1109/igarss.2017.8127796","title":"New iterative learning strategy to improve classification systems by using outlier detection techniques","display_name":"New iterative learning strategy to improve classification systems by using outlier detection techniques","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2773321683","doi":"https://doi.org/10.1109/igarss.2017.8127796","mag":"2773321683"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8127796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5032732048","display_name":"Charlotte Pelletier","orcid":"https://orcid.org/0000-0002-4652-7778"},"institutions":[{"id":"https://openalex.org/I4210100083","display_name":"Centre d'\u00c9tudes Spatiales de la Biosph\u00e8re","ror":"https://ror.org/01225hq90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I134560555","https://openalex.org/I2799535048","https://openalex.org/I2802818602","https://openalex.org/I4210088668","https://openalex.org/I4210090127","https://openalex.org/I4210100083","https://openalex.org/I4210131494","https://openalex.org/I4210148025","https://openalex.org/I4210166444","https://openalex.org/I4412460029"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"C. Pelletier","raw_affiliation_strings":["CESBIO, UMR 5126, Toulouse CEDEX 9, FRANCE"],"affiliations":[{"raw_affiliation_string":"CESBIO, UMR 5126, Toulouse CEDEX 9, FRANCE","institution_ids":["https://openalex.org/I4210100083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053178186","display_name":"Silvia Valero","orcid":"https://orcid.org/0000-0002-5001-9450"},"institutions":[{"id":"https://openalex.org/I4210100083","display_name":"Centre d'\u00c9tudes Spatiales de la Biosph\u00e8re","ror":"https://ror.org/01225hq90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I134560555","https://openalex.org/I2799535048","https://openalex.org/I2802818602","https://openalex.org/I4210088668","https://openalex.org/I4210090127","https://openalex.org/I4210100083","https://openalex.org/I4210131494","https://openalex.org/I4210148025","https://openalex.org/I4210166444","https://openalex.org/I4412460029"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S. Valero","raw_affiliation_strings":["CESBIO, UMR 5126, Toulouse CEDEX 9, FRANCE"],"affiliations":[{"raw_affiliation_string":"CESBIO, UMR 5126, Toulouse CEDEX 9, FRANCE","institution_ids":["https://openalex.org/I4210100083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075135845","display_name":"Jordi Inglada","orcid":"https://orcid.org/0000-0001-6896-0049"},"institutions":[{"id":"https://openalex.org/I4210100083","display_name":"Centre d'\u00c9tudes Spatiales de la Biosph\u00e8re","ror":"https://ror.org/01225hq90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I134560555","https://openalex.org/I2799535048","https://openalex.org/I2802818602","https://openalex.org/I4210088668","https://openalex.org/I4210090127","https://openalex.org/I4210100083","https://openalex.org/I4210131494","https://openalex.org/I4210148025","https://openalex.org/I4210166444","https://openalex.org/I4412460029"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Inglada","raw_affiliation_strings":["CESBIO, UMR 5126, Toulouse CEDEX 9, FRANCE"],"affiliations":[{"raw_affiliation_string":"CESBIO, UMR 5126, Toulouse CEDEX 9, FRANCE","institution_ids":["https://openalex.org/I4210100083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064988495","display_name":"G\u00e9rard Dedieu","orcid":"https://orcid.org/0000-0002-8383-6465"},"institutions":[{"id":"https://openalex.org/I4210100083","display_name":"Centre d'\u00c9tudes Spatiales de la Biosph\u00e8re","ror":"https://ror.org/01225hq90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I134560555","https://openalex.org/I2799535048","https://openalex.org/I2802818602","https://openalex.org/I4210088668","https://openalex.org/I4210090127","https://openalex.org/I4210100083","https://openalex.org/I4210131494","https://openalex.org/I4210148025","https://openalex.org/I4210166444","https://openalex.org/I4412460029"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"G. Dedieu","raw_affiliation_strings":["CESBIO, UMR 5126, Toulouse CEDEX 9, FRANCE"],"affiliations":[{"raw_affiliation_string":"CESBIO, UMR 5126, Toulouse CEDEX 9, FRANCE","institution_ids":["https://openalex.org/I4210100083"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054725956","display_name":"Nicolas Champion","orcid":null},"institutions":[{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"N. Champion","raw_affiliation_strings":["IGN Espace - MATIS, Universit\u00e9 Paris-Est, Ramonville CEDEX, FRANCE"],"affiliations":[{"raw_affiliation_string":"IGN Espace - MATIS, Universit\u00e9 Paris-Est, Ramonville CEDEX, FRANCE","institution_ids":["https://openalex.org/I2800365227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032732048"],"corresponding_institution_ids":["https://openalex.org/I4210100083"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63979949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3676","last_page":"3679"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11186","display_name":"Hydrology and Drought Analysis","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7304489612579346},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6996706128120422},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6693310737609863},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6412596106529236},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6230944991111755},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6094117760658264},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5856152772903442},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46300390362739563},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.459076851606369},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4405421316623688},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.41367053985595703},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.14141416549682617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7304489612579346},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6996706128120422},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6693310737609863},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6412596106529236},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6230944991111755},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6094117760658264},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5856152772903442},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46300390362739563},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.459076851606369},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4405421316623688},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.41367053985595703},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.14141416549682617},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8127796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W123339444","https://openalex.org/W273955616","https://openalex.org/W1564764609","https://openalex.org/W1995443851","https://openalex.org/W2008463764","https://openalex.org/W2042645898","https://openalex.org/W2079055733","https://openalex.org/W2107131609","https://openalex.org/W2107686700","https://openalex.org/W2129281431","https://openalex.org/W2139573966","https://openalex.org/W2144182447","https://openalex.org/W2282861635","https://openalex.org/W2531168480","https://openalex.org/W2589453516","https://openalex.org/W2911964244","https://openalex.org/W4235456164","https://openalex.org/W6605090765","https://openalex.org/W6610017368","https://openalex.org/W6633899822","https://openalex.org/W6695751358"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729","https://openalex.org/W4308235887"],"abstract_inverted_index":{"The":[0],"supervised":[1],"classification":[2,51],"of":[3,37,46],"satellite":[4],"image":[5],"time":[6],"series":[7],"allows":[8],"obtaining":[9],"reliable":[10],"land":[11],"cover":[12],"maps":[13],"over":[14],"large":[15],"areas.":[16],"However,":[17],"their":[18],"quality":[19],"depends":[20],"on":[21,76],"the":[22,28,44,50,77],"reference":[23,33],"datasets":[24,105],"used":[25],"for":[26],"training":[27],"classifier.":[29],"In":[30],"remote":[31],"sensing,":[32],"data":[34,48],"may":[35],"lack":[36],"timeliness":[38],"and":[39,88,103],"accuracy":[40],"which":[41],"leads":[42],"to":[43,60],"presence":[45],"mislabeled":[47],"degrading":[49],"performances.":[52],"This":[53],"work":[54],"presents":[55],"an":[56],"iterative":[57],"learning":[58],"framework":[59],"deal":[61],"with":[62,91],"noisy":[63],"instances,":[64],"that":[65],"can":[66],"be":[67],"seen":[68],"as":[69],"outliers.":[70],"Several":[71],"outlier":[72],"detection":[73],"strategies,":[74],"based":[75],"well-known":[78],"Random":[79],"Forests":[80],"(RF)":[81],"ensemble":[82],"classifier,":[83],"are":[84],"proposed,":[85],"evaluated":[86],"quantitatively,":[87],"then":[89],"compared":[90],"traditional":[92],"methods.":[93],"Experimental":[94],"results":[95],"have":[96],"been":[97],"carried":[98],"out":[99],"by":[100],"using":[101],"synthetic":[102],"real":[104],"representing":[106],"annual":[107],"vegetation":[108],"profiles.":[109]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
