{"id":"https://openalex.org/W2907386640","doi":"https://doi.org/10.1109/tgrs.2018.2853268","title":"Multiobjective-Based Sparse Representation Classifier for Hyperspectral Imagery Using Limited Samples","display_name":"Multiobjective-Based Sparse Representation Classifier for Hyperspectral Imagery Using Limited Samples","publication_year":2018,"publication_date":"2018-08-02","ids":{"openalex":"https://openalex.org/W2907386640","doi":"https://doi.org/10.1109/tgrs.2018.2853268","mag":"2907386640"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2853268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2853268","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/A5049136910","display_name":"Bin Pan","orcid":"https://orcid.org/0000-0003-3063-1762"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Pan","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3063-1762","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058849690","display_name":"Zhenwei Shi","orcid":"https://orcid.org/0000-0002-4772-3172"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenwei Shi","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4772-3172","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018133348","display_name":"Xia Xu","orcid":"https://orcid.org/0000-0001-9743-3096"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Xu","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":2.6957,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.91047183,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"57","issue":"1","first_page":"239","last_page":"249"},"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":0.9814000129699707,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8373807668685913},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6955052614212036},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6879222393035889},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6690682172775269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6599087715148926},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48861080408096313},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.44834843277931213}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8373807668685913},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6955052614212036},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6879222393035889},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6690682172775269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6599087715148926},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48861080408096313},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.44834843277931213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2018.2853268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2853268","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G8912935111","display_name":"\u9ad8\u5149\u8c31\u9065\u611f\u56fe\u50cf\u7684\u7a00\u758f\u89e3\u6df7\u7814\u7a76","funder_award_id":"61671037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322835","display_name":"Ministry of Economic Affairs","ror":"https://ror.org/042ge0913"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1985540627","https://openalex.org/W2011731909","https://openalex.org/W2022485595","https://openalex.org/W2029316659","https://openalex.org/W2063907334","https://openalex.org/W2073663239","https://openalex.org/W2078204800","https://openalex.org/W2078495963","https://openalex.org/W2085507535","https://openalex.org/W2087263574","https://openalex.org/W2097915756","https://openalex.org/W2111560151","https://openalex.org/W2113138229","https://openalex.org/W2113636953","https://openalex.org/W2118840131","https://openalex.org/W2123909695","https://openalex.org/W2125298866","https://openalex.org/W2126105956","https://openalex.org/W2127062304","https://openalex.org/W2127271355","https://openalex.org/W2129812935","https://openalex.org/W2132467081","https://openalex.org/W2134686545","https://openalex.org/W2139987077","https://openalex.org/W2143381319","https://openalex.org/W2163886442","https://openalex.org/W2209969974","https://openalex.org/W2315409171","https://openalex.org/W2316226477","https://openalex.org/W2346155541","https://openalex.org/W2395443950","https://openalex.org/W2469142871","https://openalex.org/W2493109494","https://openalex.org/W2515844138","https://openalex.org/W2527650001","https://openalex.org/W2566476692","https://openalex.org/W2587790406","https://openalex.org/W2603834682","https://openalex.org/W2607476064","https://openalex.org/W2608092940","https://openalex.org/W2703067406","https://openalex.org/W2737474905","https://openalex.org/W2756833625","https://openalex.org/W2757208835","https://openalex.org/W2757242159","https://openalex.org/W2761339476","https://openalex.org/W2767805377","https://openalex.org/W2768309288","https://openalex.org/W2770315464","https://openalex.org/W6679523328"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2027399350","https://openalex.org/W2067727414","https://openalex.org/W2374021060","https://openalex.org/W1964749215","https://openalex.org/W2049864679","https://openalex.org/W2953404251"],"abstract_inverted_index":{"Recent":[0],"studies":[1],"about":[2],"hyperspectral":[3,78],"imagery":[4],"(HSI)":[5],"classification":[6],"usually":[7],"focus":[8],"on":[9,167],"extracting":[10],"more":[11,24],"representative":[12],"features":[13],"or":[14],"combining":[15,228],"joint":[16],"spectral-spatial":[17],"information.":[18,230],"However,":[19],"besides":[20],"feature":[21],"extraction,":[22],"developing":[23],"powerful":[25],"classifiers":[26],"can":[27,219],"also":[28],"contribute":[29],"to":[30,53,124,132,162,178,188,212,223],"the":[31,70,75,82,86,92,99,118,134,158,168,179,189,192,196,200,214],"accuracies":[32],"of":[33,77,88,91,120,191,199],"HSI":[34,48],"classification.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39,96,116],"propose":[40,128],"a":[41,112,129],"multiobjective-based":[42,130],"sparse":[43,106,136,142,201],"representation":[44],"classifier":[45],"(MSRC)":[46],"for":[47],"data,":[49],"which":[50],"mainly":[51],"tries":[52],"address":[54],"two":[55,147],"problems:":[56],"1)":[57],"pixel":[58],"mixing":[59,160],"and":[60,72,127,141,195],"2)":[61],"lacking":[62],"abundant":[63],"labeled":[64],"samples.":[65],"MSRC":[66,89,204,218],"is":[67,108],"motivated":[68],"by":[69,183],"SRC,":[71],"further":[73,156],"integrating":[74],"idea":[76],"unmixing.":[79],"Different":[80],"from":[81],"traditional":[83],"SRC-based":[84],"methods,":[85],"novelty":[87],"consists":[90],"optimization":[93],"process,":[94],"i.e.,":[95],"directly":[97],"handle":[98],"L0-norm":[100,135],"problem":[101,119],"without":[102],"any":[103],"relaxation.":[104],"The":[105,138,171],"term":[107,140,143],"not":[109,206],"considered":[110],"as":[111,146,227],"regularization":[113],"operation.":[114],"Instead,":[115],"transform":[117],"weight":[121],"vector":[122],"estimation":[123,181],"subset":[125],"selection,":[126],"method":[131,194],"optimize":[133],"problem.":[137],"residual":[139],"are":[144,152,175],"regarded":[145],"parallel":[148],"objective":[149],"functions":[150],"that":[151],"optimized":[153],"simultaneously.":[154],"We":[155],"utilize":[157],"linear":[159],"model":[161],"represent":[163],"test":[164],"pixels":[165],"based":[166],"selected":[169],"atoms.":[170],"final":[172],"class":[173],"labels":[174],"determined":[176],"according":[177],"abundance":[180],"results":[182],"nonnegative":[184],"least":[185],"squares.":[186],"Owing":[187],"characteristics":[190],"multiobjective":[193],"binary":[197],"property":[198],"solution":[202],"vector,":[203],"does":[205],"require":[207],"too":[208],"many":[209],"training":[210],"samples":[211],"build":[213],"dictionary.":[215],"Moreover,":[216],"theoretically,":[217],"be":[220],"easily":[221],"improved":[222],"extended":[224],"version":[225],"such":[226],"spatial":[229]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
