{"id":"https://openalex.org/W2102558650","doi":"https://doi.org/10.1109/igarss.2011.6049236","title":"“Fusion for classes in difficulty” for accurate and speed tropical rainforests classification","display_name":"“Fusion for classes in difficulty” for accurate and speed tropical rainforests classification","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2102558650","doi":"https://doi.org/10.1109/igarss.2011.6049236","mag":"2102558650"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2011.6049236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2011.6049236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-03791074","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011129788","display_name":"Robin Pouteau","orcid":"https://orcid.org/0000-0003-3090-6551"},"institutions":[{"id":"https://openalex.org/I86908984","display_name":"University of French Polynesia","ror":"https://ror.org/03ay59x86","country_code":"PF","type":"education","lineage":["https://openalex.org/I86908984"]}],"countries":["PF"],"is_corresponding":false,"raw_author_name":"R. Pouteau","raw_affiliation_strings":["South Pacific Geosciences (GePaSud) Laboratory, University of French Polynesia, France","South Pacific Geosciences (GePaSud) Laboratory, University of French Polynesia, BP 6570, 98702 Faa'a, French Polynesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South Pacific Geosciences (GePaSud) Laboratory, University of French Polynesia, France","institution_ids":["https://openalex.org/I86908984"]},{"raw_affiliation_string":"South Pacific Geosciences (GePaSud) Laboratory, University of French Polynesia, BP 6570, 98702 Faa'a, French Polynesia","institution_ids":["https://openalex.org/I86908984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042908689","display_name":"Beno\u00eet Stoll","orcid":"https://orcid.org/0000-0002-3668-2600"},"institutions":[{"id":"https://openalex.org/I86908984","display_name":"University of French Polynesia","ror":"https://ror.org/03ay59x86","country_code":"PF","type":"education","lineage":["https://openalex.org/I86908984"]}],"countries":["PF"],"is_corresponding":false,"raw_author_name":"B. Stoll","raw_affiliation_strings":["South Pacific Geosciences (GePaSud) Laboratory, University of French Polynesia, France","South Pacific Geosciences (GePaSud) Laboratory, University of French Polynesia, BP 6570, 98702 Faa'a, French Polynesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South Pacific Geosciences (GePaSud) Laboratory, University of French Polynesia, France","institution_ids":["https://openalex.org/I86908984"]},{"raw_affiliation_string":"South Pacific Geosciences (GePaSud) Laboratory, University of French Polynesia, BP 6570, 98702 Faa'a, French Polynesia","institution_ids":["https://openalex.org/I86908984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86908984"],"apc_list":null,"apc_paid":null,"fwci":1.0291,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73506602,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"740","last_page":"743"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9962999820709229,"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":0.9962999820709229,"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":0.9883000254631042,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9758999943733215,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.6399397850036621},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6083468794822693},{"id":"https://openalex.org/keywords/rainforest","display_name":"Rainforest","score":0.6031609773635864},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5857765078544617},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5852356553077698},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5563035607337952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5539090037345886},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.47304052114486694},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4369451105594635},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.4302665591239929},{"id":"https://openalex.org/keywords/aside","display_name":"Aside","score":0.41305840015411377},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3543034791946411},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3537529706954956},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3330599069595337},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1777888536453247},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13619458675384521},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.0689469575881958}],"concepts":[{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6399397850036621},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6083468794822693},{"id":"https://openalex.org/C2619416","wikidata":"https://www.wikidata.org/wiki/Q9444","display_name":"Rainforest","level":2,"score":0.6031609773635864},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5857765078544617},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5852356553077698},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5563035607337952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5539090037345886},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.47304052114486694},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4369451105594635},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.4302665591239929},{"id":"https://openalex.org/C2778120072","wikidata":"https://www.wikidata.org/wiki/Q2858150","display_name":"Aside","level":2,"score":0.41305840015411377},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3543034791946411},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3537529706954956},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3330599069595337},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1777888536453247},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13619458675384521},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0689469575881958},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2011.6049236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2011.6049236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03791074v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03791074","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Geoscience and Remote Sensing Symposium, IGARSS'11, Jul 2011, Vancouver, Canada. ⟨10.1109/IGARSS.2011.6049236⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03791074v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03791074","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Geoscience and Remote Sensing Symposium, IGARSS'11, Jul 2011, Vancouver, Canada. ⟨10.1109/IGARSS.2011.6049236⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1562951397","https://openalex.org/W1585128438","https://openalex.org/W2005156666","https://openalex.org/W2012061586","https://openalex.org/W2024968541","https://openalex.org/W2044465660","https://openalex.org/W2048303399","https://openalex.org/W2077403302","https://openalex.org/W2078209294","https://openalex.org/W2109565719","https://openalex.org/W2109943925","https://openalex.org/W2112803241","https://openalex.org/W2133308164","https://openalex.org/W2137641062","https://openalex.org/W2139212933","https://openalex.org/W2144841545","https://openalex.org/W2146977819","https://openalex.org/W2148603752","https://openalex.org/W2156808278","https://openalex.org/W3023786531"],"related_works":["https://openalex.org/W2364976037","https://openalex.org/W2372770459","https://openalex.org/W3088112989","https://openalex.org/W2392793229","https://openalex.org/W2048373740","https://openalex.org/W2103761320","https://openalex.org/W2348824220","https://openalex.org/W3028432408","https://openalex.org/W2136123817","https://openalex.org/W2608696184"],"abstract_inverted_index":{"The":[0],"accuracy":[1,32,85],"of":[2,11,93],"rainforests":[3],"classification":[4],"is":[5],"generally":[6],"improved":[7],"by":[8],"the":[9,51,63,91],"input":[10],"multisensory":[12],"data":[13],"since":[14],"complex":[15],"vegetation":[16],"type":[17],"identification":[18],"benefits":[19],"from":[20,96],"complementary":[21],"information.":[22],"However,":[23],"in":[24,56],"some":[25],"cases,":[26],"multisource":[27],"fusion":[28,42,58,64],"can":[29,67,79],"also":[30],"deteriorate":[31],"when":[33,70,89],"irrelevant":[34],"sources":[35],"are":[36,73],"added.":[37],"Thus,":[38],"we":[39],"introduce":[40],"a":[41],"method":[43,49,78],"for":[44,59],"classes":[45,72],"\"in":[46],"difficulty\".":[47],"Our":[48],"outperforms":[50],"classical":[52],"global":[53],"approach":[54],"consisting":[55],"performing":[57],"all":[60],"classes.":[61],"Moreover,":[62],"processing":[65,87],"time":[66],"significantly":[68],"decrease":[69],"several":[71],"put":[74],"aside.":[75],"This":[76],"operational":[77],"be":[80],"used":[81],"effectively":[82],"to":[83],"enhance":[84],"and":[86],"speed":[88],"analyzing":[90],"wealth":[92],"information":[94],"available":[95],"remote":[97],"sensing":[98],"products.":[99]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2016-06-24T00:00:00"}