{"id":"https://openalex.org/W2056302425","doi":"https://doi.org/10.1109/lgrs.2015.2402971","title":"Fast Multifeature Joint Sparse Representation for Hyperspectral Image Classification","display_name":"Fast Multifeature Joint Sparse Representation for Hyperspectral Image Classification","publication_year":2015,"publication_date":"2015-03-06","ids":{"openalex":"https://openalex.org/W2056302425","doi":"https://doi.org/10.1109/lgrs.2015.2402971","mag":"2056302425"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2015.2402971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2015.2402971","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5086988401","display_name":"Erlei Zhang","orcid":"https://orcid.org/0000-0002-3408-1932"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Erlei Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China, Institute of Intelligent Information Processing, Xidian University, Xi'an, China","Key Lab. of Intell. Perception & Image Understanding of the Minist. of Educ. of China, Xidian Univ., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China, Institute of Intelligent Information Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Lab. of Intell. Perception & Image Understanding of the Minist. of Educ. of China, Xidian Univ., Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049776440","display_name":"Xiangrong Zhang","orcid":"https://orcid.org/0000-0003-0379-2042"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangrong Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China, Institute of Intelligent Information Processing, Xidian University, Xi'an, China","Key Lab. of Intell. Perception & Image Understanding of the Minist. of Educ. of China, Xidian Univ., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China, Institute of Intelligent Information Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Lab. of Intell. Perception & Image Understanding of the Minist. of Educ. of China, Xidian Univ., Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757725","display_name":"Hongying Liu","orcid":"https://orcid.org/0000-0002-8475-2749"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongying Liu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China, Institute of Intelligent Information Processing, Xidian University, Xi'an, China","Key Lab. of Intell. Perception & Image Understanding of the Minist. of Educ. of China, Xidian Univ., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China, Institute of Intelligent Information Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Lab. of Intell. Perception & Image Understanding of the Minist. of Educ. of China, Xidian Univ., Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China, Institute of Intelligent Information Processing, Xidian University, Xi'an, China","Key Lab. of Intell. Perception & Image Understanding of the Minist. of Educ. of China, Xidian Univ., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China, Institute of Intelligent Information Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Lab. of Intell. Perception & Image Understanding of the Minist. of Educ. of China, Xidian Univ., Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086988401"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":10.3662,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.98250651,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":"7","first_page":"1397","last_page":"1401"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9703999757766724,"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/computer-science","display_name":"Computer science","score":0.699377715587616},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6958426833152771},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.687919557094574},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6390697956085205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6197850704193115},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5893591046333313},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.5799548029899597},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5747299790382385},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4774535298347473},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4619150161743164},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42730337381362915},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4191398620605469},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.3202133774757385}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.699377715587616},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6958426833152771},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.687919557094574},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6390697956085205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6197850704193115},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5893591046333313},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.5799548029899597},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5747299790382385},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4774535298347473},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4619150161743164},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42730337381362915},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4191398620605469},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.3202133774757385},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2015.2402971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2015.2402971","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1989053102","display_name":null,"funder_award_id":"2013CB329402","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2587811045","display_name":null,"funder_award_id":"61272282","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3029022750","display_name":null,"funder_award_id":"61203303","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4324139148","display_name":null,"funder_award_id":"NCET-13-0948","funder_id":"https://openalex.org/F4320334924","funder_display_name":"Program for New Century Excellent Talents in University"},{"id":"https://openalex.org/G533926221","display_name":null,"funder_award_id":"61377011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5563157538","display_name":null,"funder_award_id":"61272279","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7679670667","display_name":null,"funder_award_id":"61373111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8649474341","display_name":null,"funder_award_id":"65ZY1425","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1672851775","https://openalex.org/W1974774078","https://openalex.org/W2008340903","https://openalex.org/W2044439250","https://openalex.org/W2046017387","https://openalex.org/W2052800689","https://openalex.org/W2061572659","https://openalex.org/W2075707011","https://openalex.org/W2097915756","https://openalex.org/W2100975942","https://openalex.org/W2112589365","https://openalex.org/W2114819256","https://openalex.org/W2129812935","https://openalex.org/W2131725398","https://openalex.org/W2136251662","https://openalex.org/W2143354507","https://openalex.org/W2153538582","https://openalex.org/W2296616510","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2098521117","https://openalex.org/W4319793311","https://openalex.org/W2465351041","https://openalex.org/W4385694579","https://openalex.org/W2340242818","https://openalex.org/W4300881421","https://openalex.org/W2103001330","https://openalex.org/W2012574959","https://openalex.org/W2262109992","https://openalex.org/W2241396314"],"abstract_inverted_index":{"Since":[0],"hyperspectral":[1,68],"images":[2],"(HSIs)":[3],"usually":[4],"have":[5,29],"complex":[6],"content":[7],"and":[8,35,77,92,148],"chaotic":[9],"background,":[10],"multiple":[11],"kinds":[12],"of":[13,90,127,141,162,168,191],"features":[14,74],"would":[15],"be":[16],"helpful":[17],"for":[18,46,67,87],"the":[19,36,79,94,104,111,121,128,137,154,163,179,201],"classification":[20,61,155],"task.":[21],"Recently,":[22],"representation-based":[23],"methods":[24],"with":[25,63,144,171,182],"multifeature":[26,33,64],"combination":[27,65],"learning":[28,34,66],"been":[30,176],"proposed.":[31],"However,":[32],"extended":[37],"contextual":[38,159],"information":[39,161],"require":[40],"much":[41,183],"more":[42],"computational":[43],"burden,":[44],"particularly":[45],"a":[47,56,84,115],"large-scale":[48],"dictionary":[49],"case.":[50],"In":[51],"this":[52],"letter,":[53],"we":[54,157],"propose":[55],"fast":[57],"joint":[58,95],"sparse":[59],"representation":[60,85,105],"method":[62],"imagery.":[69],"Once":[70],"getting":[71],"several":[72],"complementary":[73],"(spectral,":[75],"shape,":[76],"texture),":[78],"proposed":[80,180],"model":[81],"simultaneously":[82],"acquires":[83],"vector":[86],"each":[88,166],"kind":[89,167],"feature":[91],"imposes":[93],"sparsity":[96,117],"\u2113":[97],"<sub":[98],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[99],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">row,0</sub>":[100],"-norm":[101],"regularization":[102,108],"on":[103,196],"coefficients.":[106],"The":[107],"can":[109],"enforce":[110],"coefficients":[112],"to":[113,135,151,189],"share":[114],"common":[116],"pattern,":[118],"which":[119],"preserves":[120],"crossfeature":[122],"information.":[123],"A":[124],"new":[125],"version":[126],"simultaneous":[129],"orthogonal":[130],"matching":[131],"pursuit":[132],"is":[133],"presented":[134],"solve":[136],"aforementioned":[138],"problem":[139],"because":[140],"its":[142],"optimization":[143],"strong":[145],"convergence":[146],"guarantee":[147],"efficiency.":[149],"Moreover,":[150],"further":[152],"improve":[153],"performance,":[156],"incorporate":[158],"neighborhood":[160],"image":[164],"into":[165],"feature.":[169],"Compared":[170],"state-of-the-art":[172],"algorithms,":[173],"it":[174],"has":[175],"proved":[177],"that":[178],"algorithm":[181],"less":[184],"memory":[185],"requirements":[186],"performs":[187],"tens":[188],"hundreds":[190],"times":[192],"faster":[193],"than":[194],"those":[195],"real":[197],"HSIs,":[198],"while":[199],"providing":[200],"same":[202],"(or":[203],"even":[204],"better)":[205],"accuracy.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
