{"id":"https://openalex.org/W2212636544","doi":"https://doi.org/10.1109/tgrs.2015.2481938","title":"Rotation-Based Support Vector Machine Ensemble in Classification of Hyperspectral Data With Limited Training Samples","display_name":"Rotation-Based Support Vector Machine Ensemble in Classification of Hyperspectral Data With Limited Training Samples","publication_year":2015,"publication_date":"2015-10-15","ids":{"openalex":"https://openalex.org/W2212636544","doi":"https://doi.org/10.1109/tgrs.2015.2481938","mag":"2212636544"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2015.2481938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2015.2481938","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5000395252","display_name":"Junshi Xia","orcid":"https://orcid.org/0000-0002-5586-6536"},"institutions":[{"id":"https://openalex.org/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN","FR"],"is_corresponding":true,"raw_author_name":"Junshi Xia","raw_affiliation_strings":["Grenoble Images Speech Signal and Control (GIPSA) Laboratory, Nanjing University, Nanjing, China","GIPSA-SIGMAPHY - GIPSA - Signal Images Physique (GIPSA-lab, 11 rue des Math\u00e9matiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"Grenoble Images Speech Signal and Control (GIPSA) Laboratory, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"GIPSA-SIGMAPHY - GIPSA - Signal Images Physique (GIPSA-lab, 11 rue des Math\u00e9matiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX - France)","institution_ids":["https://openalex.org/I4210124956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I165368041","display_name":"University of Iceland","ror":"https://ror.org/01db6h964","country_code":"IS","type":"education","lineage":["https://openalex.org/I165368041"]},{"id":"https://openalex.org/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR","IS"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["Grenoble Images Speech Signal and Control (GIPSA) Laboratory, University of Iceland, Reykjavik, Iceland","GIPSA-SIGMAPHY - GIPSA - Signal Images Physique (GIPSA-lab, 11 rue des Math\u00e9matiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"Grenoble Images Speech Signal and Control (GIPSA) Laboratory, University of Iceland, Reykjavik, Iceland","institution_ids":["https://openalex.org/I165368041"]},{"raw_affiliation_string":"GIPSA-SIGMAPHY - GIPSA - Signal Images Physique (GIPSA-lab, 11 rue des Math\u00e9matiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX - France)","institution_ids":["https://openalex.org/I4210124956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100690406","display_name":"Peijun Du","orcid":"https://orcid.org/0000-0002-2488-2656"},"institutions":[{"id":"https://openalex.org/I4210141849","display_name":"National Administration of Surveying, Mapping and Geoinformation of China","ror":"https://ror.org/04z3map19","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210141849"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]},{"id":"https://openalex.org/I4210141657","display_name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application","ror":"https://ror.org/045yewh40","country_code":"CN","type":"facility","lineage":["https://openalex.org/I152031979","https://openalex.org/I4210141657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peijun Du","raw_affiliation_strings":["Key Laboratory for Satellite Mapping Technology and Applications of National Administration of Surveying, Mapping and Geoinformation of China and the Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing University, Nanjing, China","NJU - Nanjing University (Nanjing, Jiangsu Province - Chine)"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Satellite Mapping Technology and Applications of National Administration of Surveying, Mapping and Geoinformation of China and the Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I4210141849","https://openalex.org/I881766915","https://openalex.org/I4210141657"]},{"raw_affiliation_string":"NJU - Nanjing University (Nanjing, Jiangsu Province - Chine)","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103877650","display_name":"Xiyan He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Xiyan He","raw_affiliation_strings":["Grenoble Images Speech Signal and Control (GIPSA) Laboratory, Grenoble Institute of Technology, Grenoble, France","GIPSA-SIGMAPHY - GIPSA - Signal Images Physique (GIPSA-lab, 11 rue des Math\u00e9matiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"Grenoble Images Speech Signal and Control (GIPSA) Laboratory, Grenoble Institute of Technology, Grenoble, France","institution_ids":["https://openalex.org/I4210124956","https://openalex.org/I106785703"]},{"raw_affiliation_string":"GIPSA-SIGMAPHY - GIPSA - Signal Images Physique (GIPSA-lab, 11 rue des Math\u00e9matiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX - France)","institution_ids":["https://openalex.org/I4210124956"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000395252"],"corresponding_institution_ids":["https://openalex.org/I4210124956","https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":15.6166,"has_fulltext":false,"cited_by_count":100,"citation_normalized_percentile":{"value":0.99072088,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"54","issue":"3","first_page":"1519","last_page":"1531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.993399977684021,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9768000245094299,"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/support-vector-machine","display_name":"Support vector machine","score":0.8594090938568115},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7690714597702026},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7339046597480774},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6988991498947144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6764472723007202},{"id":"https://openalex.org/keywords/random-projection","display_name":"Random projection","score":0.6302356719970703},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5850958228111267},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.576653242111206},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.5586714744567871},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5406472682952881},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4643791913986206},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4598331153392792},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4535762071609497},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4358654022216797},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4234890043735504},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35023233294487},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15005406737327576}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8594090938568115},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7690714597702026},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7339046597480774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6988991498947144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6764472723007202},{"id":"https://openalex.org/C2777036070","wikidata":"https://www.wikidata.org/wiki/Q18393452","display_name":"Random projection","level":2,"score":0.6302356719970703},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5850958228111267},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.576653242111206},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.5586714744567871},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5406472682952881},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4643791913986206},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4598331153392792},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4535762071609497},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4358654022216797},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4234890043735504},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35023233294487},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15005406737327576},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2015.2481938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2015.2481938","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-01246607v1","is_oa":false,"landing_page_url":"https://hal.univ-grenoble-alpes.fr/hal-01246607","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing, 2015, 54 (3), pp.1519-1531. &#x27E8;10.1109/TGRS.2015.2481938&#x27E9;","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309036","display_name":"Purdue University","ror":"https://ror.org/02dqehb95"},{"id":"https://openalex.org/F4320323298","display_name":"H\u00e1sk\u00f3li \u00cdslands","ror":"https://ror.org/01db6h964"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W628438000","https://openalex.org/W1551231141","https://openalex.org/W1750919668","https://openalex.org/W1906766771","https://openalex.org/W1930103009","https://openalex.org/W1970698820","https://openalex.org/W1989919782","https://openalex.org/W1990653740","https://openalex.org/W2001859769","https://openalex.org/W2004754531","https://openalex.org/W2011221121","https://openalex.org/W2017050504","https://openalex.org/W2022156723","https://openalex.org/W2030449718","https://openalex.org/W2036389990","https://openalex.org/W2045157157","https://openalex.org/W2053171205","https://openalex.org/W2053852479","https://openalex.org/W2063907334","https://openalex.org/W2064886835","https://openalex.org/W2082234932","https://openalex.org/W2097238823","https://openalex.org/W2098057602","https://openalex.org/W2101711129","https://openalex.org/W2103699041","https://openalex.org/W2109094355","https://openalex.org/W2109531142","https://openalex.org/W2112076978","https://openalex.org/W2112803241","https://openalex.org/W2113242816","https://openalex.org/W2114091915","https://openalex.org/W2115629999","https://openalex.org/W2123649031","https://openalex.org/W2124868070","https://openalex.org/W2130627644","https://openalex.org/W2132424470","https://openalex.org/W2132971529","https://openalex.org/W2134594501","https://openalex.org/W2136251662","https://openalex.org/W2136625467","https://openalex.org/W2140950054","https://openalex.org/W2147353113","https://openalex.org/W2149471024","https://openalex.org/W2150045166","https://openalex.org/W2150757437","https://openalex.org/W2153409933","https://openalex.org/W2153635508","https://openalex.org/W2154506590","https://openalex.org/W2155551484","https://openalex.org/W2156909104","https://openalex.org/W2159101365","https://openalex.org/W2164437025","https://openalex.org/W2164568552","https://openalex.org/W2165049595","https://openalex.org/W2165491713","https://openalex.org/W2167255285","https://openalex.org/W2167685974","https://openalex.org/W2168481151","https://openalex.org/W2169500530","https://openalex.org/W2172000360","https://openalex.org/W2478493250","https://openalex.org/W2487087946","https://openalex.org/W2491899631","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W3014771378","https://openalex.org/W3104925044","https://openalex.org/W4212883601","https://openalex.org/W6633023571","https://openalex.org/W6637884568","https://openalex.org/W6676189307","https://openalex.org/W6676769703"],"related_works":["https://openalex.org/W2007593166","https://openalex.org/W1603777065","https://openalex.org/W2143234973","https://openalex.org/W2397292208","https://openalex.org/W4221136059","https://openalex.org/W1981866886","https://openalex.org/W1548677759","https://openalex.org/W109131529","https://openalex.org/W1503513760","https://openalex.org/W2052615004"],"abstract_inverted_index":{"With":[0],"different":[1],"principles,":[2],"support":[3],"vector":[4],"machines":[5],"(SVMs)":[6],"and":[7,42,61,70,85,111,131],"multiple":[8],"classifier":[9],"systems":[10],"(MCSs)":[11],"have":[12],"shown":[13],"excellent":[14],"performances":[15],"for":[16],"classifying":[17],"hyperspectral":[18,97],"remote":[19],"sensing":[20],"images.":[21],"In":[22],"order":[23],"to":[24,51],"further":[25],"improve":[26],"the":[27,73,102,108,118,121,136],"performance,":[28],"we":[29],"propose":[30],"a":[31],"novel":[32],"ensemble":[33,74,105,129],"approach,":[34],"namely,":[35],"rotation-based":[36],"SVM":[37,54,110],"(RoSVM),":[38],"which":[39,64],"combines":[40],"SVMs":[41],"MCSs":[43],"together.":[44],"The":[45,115],"basic":[46],"idea":[47],"of":[48,117,124,133],"RoSVM":[49,104,125],"is":[50],"generate":[52],"diverse":[53],"classification":[55],"results":[56],"using":[57],"random":[58,86,112],"feature":[59],"selection":[60],"data":[62,78,98],"transformation,":[63],"can":[65],"enhance":[66],"both":[67],"individual":[68],"accuracy":[69,123],"diversity":[71],"within":[72],"simultaneously.":[75],"Two":[76],"simple":[77],"transformation":[79],"methods,":[80],"i.e.,":[81],"principal":[82],"component":[83],"analysis":[84],"projection,":[87],"are":[88,138],"introduced":[89],"into":[90],"RoSVM.":[91],"An":[92],"empirical":[93],"study":[94],"on":[95,120],"three":[96],"sets":[99],"demonstrates":[100],"that":[101],"proposed":[103],"method":[106],"outperforms":[107],"single":[109],"subspace":[113],"SVM.":[114],"impacts":[116],"parameters":[119],"overall":[122],"(different":[126],"training":[127],"sets,":[128],"sizes,":[130],"numbers":[132],"features":[134],"in":[135,141],"subset)":[137],"also":[139],"investigated":[140],"this":[142],"paper.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":19},{"year":2016,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
