{"id":"https://openalex.org/W2051383118","doi":"https://doi.org/10.1109/jstars.2014.2318181","title":"Model Selection and Classification With Multiple Kernel Learning for Hyperspectral Images via Sparsity","display_name":"Model Selection and Classification With Multiple Kernel Learning for Hyperspectral Images via Sparsity","publication_year":2014,"publication_date":"2014-05-02","ids":{"openalex":"https://openalex.org/W2051383118","doi":"https://doi.org/10.1109/jstars.2014.2318181","mag":"2051383118"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2014.2318181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2318181","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5034748006","display_name":"Yanfeng Gu","orcid":"https://orcid.org/0000-0003-1625-7989"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanfeng Gu","raw_affiliation_strings":["Department of Information Engineering, Harbin Institute of Technology, Harbin, China","Department of Information Engineering, Harbin Institute of Technology, Harbin , China"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Department of Information Engineering, Harbin Institute of Technology, Harbin , China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037701425","display_name":"Guoming Gao","orcid":"https://orcid.org/0000-0002-8223-9757"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoming Gao","raw_affiliation_strings":["Department of Information Engineering, Harbin Institute of Technology, Harbin, China","Department of Information Engineering, Harbin Institute of Technology, Harbin , China"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Department of Information Engineering, Harbin Institute of Technology, Harbin , China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041993483","display_name":"Deshan Zuo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deshan Zuo","raw_affiliation_strings":["Application Center, Beijing Institute of Remote Sensing Information Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Application Center, Beijing Institute of Remote Sensing Information Technology, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101923294","display_name":"Di You","orcid":"https://orcid.org/0000-0002-1050-3299"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Di You","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ohio State University, Columbus, OH, USA","Dept. of Electrical and Computer Eng., Ohio State University, Columbus, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Eng., Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5034748006"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":6.7211,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.96797721,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"7","issue":"6","first_page":"2119","last_page":"2130"},"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":0.9922000169754028,"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/T10057","display_name":"Face and Expression Recognition","score":0.9861000180244446,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.8361619710922241},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6739798784255981},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.66229647397995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6530739665031433},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5691846609115601},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5542610287666321},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5461746454238892},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.4819033443927765},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4700568914413452},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4116831421852112},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.38079583644866943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3527355194091797},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2175942361354828},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1678961217403412}],"concepts":[{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.8361619710922241},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6739798784255981},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.66229647397995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6530739665031433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5691846609115601},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5542610287666321},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5461746454238892},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.4819033443927765},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4700568914413452},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4116831421852112},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.38079583644866943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3527355194091797},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2175942361354828},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1678961217403412},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2014.2318181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2318181","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2619472893","display_name":null,"funder_award_id":"41301455","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4121457446","display_name":null,"funder_award_id":"61371180","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5374177051","display_name":null,"funder_award_id":"61301206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6729294756","display_name":null,"funder_award_id":"HIT.NSRIF.2010095","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1646506067","https://openalex.org/W1957660558","https://openalex.org/W1977547683","https://openalex.org/W2031823405","https://openalex.org/W2069231830","https://openalex.org/W2078296814","https://openalex.org/W2078495963","https://openalex.org/W2099129687","https://openalex.org/W2101711129","https://openalex.org/W2102049927","https://openalex.org/W2104269704","https://openalex.org/W2104472920","https://openalex.org/W2105386417","https://openalex.org/W2106503792","https://openalex.org/W2109743529","https://openalex.org/W2120184245","https://openalex.org/W2124706543","https://openalex.org/W2125517209","https://openalex.org/W2136251662","https://openalex.org/W2142387771","https://openalex.org/W2144299089","https://openalex.org/W2144629557","https://openalex.org/W2145295623","https://openalex.org/W2146611644","https://openalex.org/W2147590979","https://openalex.org/W2150772522","https://openalex.org/W2151056738","https://openalex.org/W2154462399","https://openalex.org/W2161444669","https://openalex.org/W2163640899","https://openalex.org/W2163916252","https://openalex.org/W2164535072","https://openalex.org/W2168481151","https://openalex.org/W2615253071","https://openalex.org/W2952736586","https://openalex.org/W4234848434","https://openalex.org/W4239510810","https://openalex.org/W4300989607","https://openalex.org/W6636909375","https://openalex.org/W6641446668","https://openalex.org/W6675788551","https://openalex.org/W6683181193","https://openalex.org/W6684067080","https://openalex.org/W7075750350"],"related_works":["https://openalex.org/W2725311638","https://openalex.org/W2123146423","https://openalex.org/W2091950550","https://openalex.org/W2570832236","https://openalex.org/W2144299089","https://openalex.org/W2133046540","https://openalex.org/W4307723017","https://openalex.org/W3092342941","https://openalex.org/W4388570703","https://openalex.org/W2055608878"],"abstract_inverted_index":{"The":[0,116,136],"goal":[1],"of":[2,19,68,91,96,131,151,156,173],"multiple":[3],"kernel":[4,12,39,99],"learning":[5,57,174],"(MKL)":[6],"is":[7,31,62,84],"to":[8,33,87,112],"simultaneously":[9,34],"learn":[10],"a":[11,25,66,113,122,128,133],"and":[13,38,56,94,145,159],"the":[14,47,89,92,97,103,146,149,152,166,181],"associated":[15],"predictor":[16],"in":[17,154],"task":[18],"supervised":[20],"learning.":[21],"In":[22],"this":[23],"paper,":[24],"new":[26],"sparse":[27],"MKL":[28,93,118,168],"(SMKL)":[29],"algorithm":[30,119],"proposed":[32,117,182],"carry":[35],"out":[36],"classification":[37,124,157],"interpretation":[40],"on":[41,140],"hyperspectral":[42,143],"remote":[43],"sensing":[44],"images.":[45],"First,":[46],"multiscale":[48],"Gaussian":[49,98],"kernels":[50,61],"are":[51,138],"adopted":[52],"as":[53,65],"basis":[54,60],"kernels,":[55],"from":[58],"these":[59],"then":[63,85],"formulated":[64],"problem":[67],"maximizing":[69],"variance":[70],"projection,":[71],"which":[72],"can":[73,108,120,176],"be":[74,109,177],"solved":[75],"by":[76,126,162,180],"singular":[77],"value":[78],"decomposition":[79],"(SVD).":[80],"A":[81],"cardinality-based":[82],"constraint":[83],"involved":[86],"control":[88],"sparsity":[90],"selection":[95],"scales":[100],"for":[101],"improving":[102],"interpretability.":[104],"This":[105],"cardinality-constrained":[106],"optimization":[107],"further":[110],"converted":[111],"convex":[114],"optimization.":[115],"achieve":[121],"good":[123],"performance":[125],"using":[127],"linear":[129],"combination":[130],"only":[132],"few":[134],"kernels.":[135],"experiments":[137],"conducted":[139],"three":[141],"real":[142],"datasets,":[144],"results":[147],"prove":[148],"effectiveness":[150],"SMKL":[153],"terms":[155],"statistics":[158],"computational":[160],"feasibility,":[161],"comparing":[163],"it":[164],"with":[165],"state-of-the-art":[167],"algorithms.":[169],"More":[170],"important,":[171],"interpretability":[172],"model":[175],"preliminary":[178],"addressed":[179],"SMKL.":[183]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
