{"id":"https://openalex.org/W2004826645","doi":"https://doi.org/10.1109/igarss.2012.6351609","title":"Hyperspectral remote sensing image classification based on the integration of support vector machine and random forest","display_name":"Hyperspectral remote sensing image classification based on the integration of support vector machine and random forest","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2004826645","doi":"https://doi.org/10.1109/igarss.2012.6351609","mag":"2004826645"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2012.6351609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351609","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"preprint","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/A5100690406","display_name":"Peijun Du","orcid":"https://orcid.org/0000-0002-2488-2656"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]},{"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"],"is_corresponding":true,"raw_author_name":"Peijun Du","raw_affiliation_strings":["Department of Geoinformatics, Nanjing University, Nanjing, Jiangsu, China","Key Laboratory for Land Environment and Disaster Monitoring of SBSM, China University of Mining and Technology, Xuzhou, Jiangsu, China","CUMT - China University of Mining and Technology (\u4e0111 Xueyuan Rd, Haidian, Beijing, Chine - China)","NJU - Nanjing University (Nanjing, Jiangsu Province - China)"],"affiliations":[{"raw_affiliation_string":"Department of Geoinformatics, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"Key Laboratory for Land Environment and Disaster Monitoring of SBSM, China University of Mining and Technology, Xuzhou, Jiangsu, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"CUMT - China University of Mining and Technology (\u4e0111 Xueyuan Rd, Haidian, Beijing, Chine - China)","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"NJU - Nanjing University (Nanjing, Jiangsu Province - China)","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","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/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]},{"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":["CN","FR"],"is_corresponding":false,"raw_author_name":"Junshi Xia","raw_affiliation_strings":["GIPSA-Lab-Grenoble Institute of Technology, Domaine Universitaire, Saint Martin d'Heres, France","Key Laboratory for Land Environment and Disaster Monitoring of SBSM, China University of Mining and Technology, Xuzhou, Jiangsu, China","CUMT - China University of Mining and Technology (\u4e0111 Xueyuan Rd, Haidian, Beijing, Chine - 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":"GIPSA-Lab-Grenoble Institute of Technology, Domaine Universitaire, Saint Martin d'Heres, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956"]},{"raw_affiliation_string":"Key Laboratory for Land Environment and Disaster Monitoring of SBSM, China University of Mining and Technology, Xuzhou, Jiangsu, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"CUMT - China University of Mining and Technology (\u4e0111 Xueyuan Rd, Haidian, Beijing, Chine - China)","institution_ids":["https://openalex.org/I25757504"]},{"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/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":"Jocelyn Chanussot","raw_affiliation_strings":["GIPSA-Lab-Grenoble Institute of Technology, Domaine Universitaire, Saint Martin d'Heres, 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":"GIPSA-Lab-Grenoble Institute of Technology, Domaine Universitaire, Saint Martin d'Heres, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956"]},{"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":"last","author":{"id":"https://openalex.org/A5103877650","display_name":"Xiyan He","orcid":null},"institutions":[{"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"]},{"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_corresponding":false,"raw_author_name":"Xiyan He","raw_affiliation_strings":["GIPSA-Lab-Grenoble Institute of Technology, Domaine Universitaire, Saint Martin d'Heres, 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":"GIPSA-Lab-Grenoble Institute of Technology, Domaine Universitaire, Saint Martin d'Heres, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956"]},{"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":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100690406"],"corresponding_institution_ids":["https://openalex.org/I25757504","https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":1.5617,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.84507849,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9976999759674072,"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":0.9560999870300293,"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/random-forest","display_name":"Random forest","score":0.9061408042907715},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.9053910374641418},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9027730226516724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6460023522377014},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6396424174308777},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6362387537956238},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6014920473098755},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5065144300460815},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4929544925689697},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3309869170188904},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3227006196975708},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1066175103187561}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.9061408042907715},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.9053910374641418},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9027730226516724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6460023522377014},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6396424174308777},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6362387537956238},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6014920473098755},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5065144300460815},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4929544925689697},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3309869170188904},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3227006196975708},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1066175103187561}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/igarss.2012.6351609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351609","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.705.6807","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.705.6807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.gipsa-lab.grenoble-inp.fr/%7Ejocelyn.chanussot/publis/ieee_igarss_123_du_classification.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-00799693v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00799693","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":"IGARSS 2012 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2012, Munich, Germany. pp.174-177, &#x27E8;10.1109/IGARSS.2012.6351609&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309036","display_name":"Purdue University","ror":"https://ror.org/02dqehb95"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1967066307","https://openalex.org/W2004104348","https://openalex.org/W2006690683","https://openalex.org/W2036389990","https://openalex.org/W2101711129","https://openalex.org/W2101865757","https://openalex.org/W2104269704","https://openalex.org/W2114091915","https://openalex.org/W2124889555","https://openalex.org/W2130695501","https://openalex.org/W2133990480","https://openalex.org/W2134594501","https://openalex.org/W2153635508","https://openalex.org/W2155632266","https://openalex.org/W2156909104","https://openalex.org/W2165491713","https://openalex.org/W2911964244"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W3135818052"],"abstract_inverted_index":{"Support":[0],"vector":[1],"machine":[2],"(SVM)":[3],"and":[4,31,36,46,65,73],"Random":[5,47],"Forest":[6,48],"(RF)":[7],"have":[8,88],"been":[9],"developed":[10],"to":[11,27,49],"improve":[12,75],"the":[13,28,51,69,76,85],"accuracy":[14,72,77],"of":[15,78,92],"hyperspectral":[16,63],"remote":[17],"sensing":[18],"(HRS)":[19],"image":[20],"classification":[21],"significantly":[22],"in":[23,94],"recent":[24],"years.":[25],"Due":[26],"different":[29],"characteristics":[30],"obvious":[32],"diversity":[33],"between":[34],"SVM":[35,45],"RF,":[37],"we":[38],"propose":[39],"two":[40,62],"integration":[41],"approaches":[42,87],"which":[43],"combine":[44],"classify":[50],"HRS":[52,96],"image.":[53,97],"The":[54],"proposed":[55,86],"method":[56],"called":[57],"DWDCS":[58],"is":[59],"examined":[60],"by":[61],"images":[64],"it":[66],"can":[67],"acquire":[68],"higher":[70],"overall":[71],"also":[74],"each":[79],"classes.":[80],"Experimental":[81],"results":[82],"indicate":[83],"that":[84],"a":[89],"great":[90],"deal":[91],"advantages":[93],"classifying":[95]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
