{"id":"https://openalex.org/W2766837596","doi":"https://doi.org/10.1109/whispers.2016.8071712","title":"Fusion of diverse features and kernels using LP-norm based multiple kernel learning in hyperspectral image processing","display_name":"Fusion of diverse features and kernels using LP-norm based multiple kernel learning in hyperspectral image processing","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2766837596","doi":"https://doi.org/10.1109/whispers.2016.8071712","mag":"2766837596"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2016.8071712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5080519665","display_name":"Muhammad Aminul Islam","orcid":"https://orcid.org/0000-0002-6221-3090"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Muhammad Aminul Islam","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, MS, Mississippi State"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, MS, Mississippi State","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076164452","display_name":"Derek T. Anderson","orcid":"https://orcid.org/0000-0003-4909-029X"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Derek T. Anderson","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, MS, Mississippi State"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, MS, Mississippi State","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081134905","display_name":"John E. Ball","orcid":"https://orcid.org/0000-0002-6774-4851"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John E. Ball","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, MS, Mississippi State"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, MS, Mississippi State","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042968640","display_name":"N.H. Younan","orcid":null},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas H. Younan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, MS, Mississippi State"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, MS, Mississippi State","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080519665"],"corresponding_institution_ids":["https://openalex.org/I99041443"],"apc_list":null,"apc_paid":null,"fwci":0.9689,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83056784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9959999918937683,"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":0.9912999868392944,"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/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.760135293006897},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7253481149673462},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6872754693031311},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5758346915245056},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5506781339645386},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5447053909301758},{"id":"https://openalex.org/keywords/reproducing-kernel-hilbert-space","display_name":"Reproducing kernel Hilbert space","score":0.5267471671104431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4938288629055023},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4860099256038666},{"id":"https://openalex.org/keywords/hilbert-space","display_name":"Hilbert space","score":0.46873077750205994},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.46503159403800964},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45056217908859253},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.44756051898002625},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4449477195739746},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19609060883522034},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.12260666489601135},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.11398085951805115}],"concepts":[{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.760135293006897},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7253481149673462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6872754693031311},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5758346915245056},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5506781339645386},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5447053909301758},{"id":"https://openalex.org/C80884492","wikidata":"https://www.wikidata.org/wiki/Q3345678","display_name":"Reproducing kernel Hilbert space","level":3,"score":0.5267471671104431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4938288629055023},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4860099256038666},{"id":"https://openalex.org/C62799726","wikidata":"https://www.wikidata.org/wiki/Q190056","display_name":"Hilbert space","level":2,"score":0.46873077750205994},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.46503159403800964},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45056217908859253},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.44756051898002625},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4449477195739746},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19609060883522034},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.12260666489601135},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.11398085951805115},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2016.8071712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1571024744","https://openalex.org/W1915109052","https://openalex.org/W1975708617","https://openalex.org/W1985152886","https://openalex.org/W1986610557","https://openalex.org/W2002392274","https://openalex.org/W2004170666","https://openalex.org/W2051383118","https://openalex.org/W2078495963","https://openalex.org/W2109743529","https://openalex.org/W2114441252","https://openalex.org/W2137693473","https://openalex.org/W2146611644","https://openalex.org/W2169903286","https://openalex.org/W2171188027","https://openalex.org/W2172928631","https://openalex.org/W2541576858","https://openalex.org/W6633893416","https://openalex.org/W6640140148","https://openalex.org/W6651325051","https://openalex.org/W6685188343","https://openalex.org/W6685448371"],"related_works":["https://openalex.org/W3125885229","https://openalex.org/W2160868783","https://openalex.org/W4248396893","https://openalex.org/W930232777","https://openalex.org/W3118393464","https://openalex.org/W1975708617","https://openalex.org/W3101749733","https://openalex.org/W3131787954","https://openalex.org/W2725311638","https://openalex.org/W50698531"],"abstract_inverted_index":{"Multiple":[0],"kernel":[1,37,48],"learning":[2],"(MKL)":[3],"is":[4,19,72],"an":[5],"elegant":[6],"tool":[7],"for":[8,29,81,89],"heterogeneous":[9],"fusion.":[10],"In":[11],"support":[12],"vector":[13],"machine":[14],"(SVM)":[15],"based":[16],"classification,":[17],"MK":[18],"a":[20,53],"homogenization":[21],"transform":[22],"and":[23,47,67,110],"it":[24],"provides":[25],"flexibility":[26],"in":[27,34],"searching":[28],"high-quality":[30],"linearly":[31],"separable":[32],"solutions":[33],"the":[35],"reproducing":[36],"Hilbert":[38],"space":[39],"(RKHS).":[40],"However,":[41],"performance":[42,115],"often":[43],"depends":[44],"on":[45,96],"input":[46],"diversity.":[49],"Herein,":[50],"we":[51],"explore":[52],"new":[54],"way":[55],"to":[56,74,113],"extract":[57],"diverse":[58,90,108],"features":[59,109],"from":[60],"hyperspectral":[61],"imagery":[62],"using":[63],"different":[64],"proximity":[65],"measures":[66],"band":[68],"grouping.":[69],"The":[70],"output":[71],"fed":[73],"\u2113":[75,101],"<sub":[76,102],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[77,103],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">p</sub>":[78,104],"-norm":[79,105],"MKL":[80],"feature-level":[82],"fusion,":[83],"where":[84],"larger":[85],"p's":[86],"are":[87],"preferred":[88],"vs":[91],"sparse":[92],"solutions.":[93],"Preliminary":[94],"results":[95],"benchmark":[97],"data":[98],"indicates":[99],"that":[100],"MKSVM":[106],"of":[107],"kernels":[111],"leads":[112],"noticeable":[114],"gain.":[116]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
