{"id":"https://openalex.org/W3180171545","doi":"https://doi.org/10.1109/jstars.2021.3094816","title":"Triple-Regularized Latent Subspace Discriminative Regression for Hyperspectral Image Classification","display_name":"Triple-Regularized Latent Subspace Discriminative Regression for Hyperspectral Image Classification","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3180171545","doi":"https://doi.org/10.1109/jstars.2021.3094816","mag":"3180171545"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2021.3094816","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3094816","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09476983.pdf","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":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09476983.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100350664","display_name":"Wenbo Wang","orcid":"https://orcid.org/0000-0002-0911-3189"},"institutions":[{"id":"https://openalex.org/I206777745","display_name":"Nanjing Audit University","ror":"https://ror.org/04zj2bd87","country_code":"CN","type":"education","lineage":["https://openalex.org/I206777745"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenbo Wang","raw_affiliation_strings":["School of Information and Engineering, Nanjing Audit University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Engineering, Nanjing Audit University, Nanjing, China","institution_ids":["https://openalex.org/I206777745"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101963642","display_name":"Zhangjing Yang","orcid":"https://orcid.org/0000-0003-2860-1329"},"institutions":[{"id":"https://openalex.org/I206777745","display_name":"Nanjing Audit University","ror":"https://ror.org/04zj2bd87","country_code":"CN","type":"education","lineage":["https://openalex.org/I206777745"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangjing Yang","raw_affiliation_strings":["School of Information and Engineering, Nanjing Audit University, Nanjing, China","ORCiD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Engineering, Nanjing Audit University, Nanjing, China","institution_ids":["https://openalex.org/I206777745"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061102708","display_name":"Pu Huang","orcid":"https://orcid.org/0000-0001-5693-0969"},"institutions":[{"id":"https://openalex.org/I206777745","display_name":"Nanjing Audit University","ror":"https://ror.org/04zj2bd87","country_code":"CN","type":"education","lineage":["https://openalex.org/I206777745"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pu Huang","raw_affiliation_strings":["School of Information and Engineering, Nanjing Audit University, Nanjing, China","ORCiD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Engineering, Nanjing Audit University, Nanjing, China","institution_ids":["https://openalex.org/I206777745"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089345835","display_name":"Fanlong Zhang","orcid":"https://orcid.org/0000-0001-8865-9683"},"institutions":[{"id":"https://openalex.org/I206777745","display_name":"Nanjing Audit University","ror":"https://ror.org/04zj2bd87","country_code":"CN","type":"education","lineage":["https://openalex.org/I206777745"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanlong Zhang","raw_affiliation_strings":["School of Information and Engineering, Nanjing Audit University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Engineering, Nanjing Audit University, Nanjing, China","institution_ids":["https://openalex.org/I206777745"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101574542","display_name":"Wei Tang","orcid":"https://orcid.org/0000-0003-1741-902X"},"institutions":[{"id":"https://openalex.org/I206777745","display_name":"Nanjing Audit University","ror":"https://ror.org/04zj2bd87","country_code":"CN","type":"education","lineage":["https://openalex.org/I206777745"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Tang","raw_affiliation_strings":["School of Information and Engineering, Nanjing Audit University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Engineering, Nanjing Audit University, Nanjing, China","institution_ids":["https://openalex.org/I206777745"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100350664"],"corresponding_institution_ids":["https://openalex.org/I206777745"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.3793,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64399335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"14","issue":null,"first_page":"7310","last_page":"7323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9861000180244446,"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":0.9829000234603882,"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/discriminative-model","display_name":"Discriminative model","score":0.7325990796089172},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7113478779792786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6820104122161865},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6584226489067078},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6187939047813416},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6072096824645996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.575837254524231},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5110617876052856},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.4900778532028198},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.349500447511673},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.13469478487968445}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7325990796089172},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7113478779792786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6820104122161865},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6584226489067078},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6187939047813416},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6072096824645996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.575837254524231},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5110617876052856},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4900778532028198},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.349500447511673},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.13469478487968445},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2021.3094816","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3094816","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09476983.pdf","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":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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"},{"id":"pmh:oai:doaj.org/article:95f21fa970044ea6b2ada21cc4f54d10","is_oa":true,"landing_page_url":"https://doaj.org/article/95f21fa970044ea6b2ada21cc4f54d10","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 7310-7323 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2021.3094816","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3094816","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09476983.pdf","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":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7699999809265137,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3229698649","display_name":null,"funder_award_id":"BY2020033","funder_id":"https://openalex.org/F4320325437","funder_display_name":"Jiangsu Science and Technology Department"},{"id":"https://openalex.org/G7317382233","display_name":null,"funder_award_id":"U1831127","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8325588148","display_name":null,"funder_award_id":"A111010004/012","funder_id":"https://openalex.org/F4320327504","funder_display_name":"Nanjing Audit University"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320325437","display_name":"Jiangsu Science and Technology Department","ror":null},{"id":"https://openalex.org/F4320327504","display_name":"Nanjing Audit University","ror":"https://ror.org/04zj2bd87"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3180171545.pdf","grobid_xml":"https://content.openalex.org/works/W3180171545.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1986737463","https://openalex.org/W1997201895","https://openalex.org/W2004427069","https://openalex.org/W2043080228","https://openalex.org/W2047028564","https://openalex.org/W2117553576","https://openalex.org/W2122111042","https://openalex.org/W2134262590","https://openalex.org/W2145962650","https://openalex.org/W2158054868","https://openalex.org/W2164278908","https://openalex.org/W2167260052","https://openalex.org/W2167284312","https://openalex.org/W2418115551","https://openalex.org/W2468125297","https://openalex.org/W2508058002","https://openalex.org/W2581571072","https://openalex.org/W2603231868","https://openalex.org/W2611632661","https://openalex.org/W2612496192","https://openalex.org/W2788125892","https://openalex.org/W2791052411","https://openalex.org/W2791459777","https://openalex.org/W2883367876","https://openalex.org/W2899549212","https://openalex.org/W2900646979","https://openalex.org/W2914145455","https://openalex.org/W2917838509","https://openalex.org/W2943262196","https://openalex.org/W2946633032","https://openalex.org/W2949492445","https://openalex.org/W2962853966","https://openalex.org/W3002384566","https://openalex.org/W3003482697","https://openalex.org/W3008225306","https://openalex.org/W3015746332","https://openalex.org/W3016217983","https://openalex.org/W3024007459","https://openalex.org/W3042423471","https://openalex.org/W3048029844","https://openalex.org/W3083760513","https://openalex.org/W3091030342","https://openalex.org/W3099514962","https://openalex.org/W3101710822","https://openalex.org/W3122581893","https://openalex.org/W3134490757","https://openalex.org/W4250047318","https://openalex.org/W4255455317","https://openalex.org/W4292363360","https://openalex.org/W6725172435"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4289763776","https://openalex.org/W2810330923","https://openalex.org/W3040691452"],"abstract_inverted_index":{"There":[0],"are":[1,16,85],"various":[2],"types":[3],"and":[4,76,106,133],"distributions":[5],"of":[6,27,49,115],"noise":[7,19,121],"in":[8,20,87,122],"hyperspectral":[9,33,130],"images.":[10],"However,":[11],"the":[12,21,25,28,58,70,103,113,134,138,144],"existing":[13,145],"classification":[14,29,35],"models":[15],"vulnerable":[17],"to":[18,52,57,65,94,101,111,143],"data.":[22],"To":[23],"improve":[24],"robustness":[26],"models,":[30],"a":[31,54],"novel":[32],"image":[34,131],"model":[36,64,140],"is":[37,51,92,99,109,141],"proposed,":[38],"named":[39],"triple-regularized":[40],"latent":[41,55],"subspace":[42,56],"discriminative":[43,60],"regression":[44,63,146],"(TRLSDR).":[45],"The":[46],"core":[47],"idea":[48],"TRLSDR":[50],"add":[53],"standard":[59],"least":[61],"squares":[62],"extract":[66],"high-order":[67],"features":[68],"from":[69],"visual":[71],"space":[72],"by":[73,120],"undercomplete":[74],"autoencoder,":[75],"then":[77],"use":[78],"clean":[79],"data":[80],"for":[81],"classification.":[82],"Three":[83],"regularizers":[84],"introduced":[86],"this":[88],"process:":[89],"Tikhonov":[90],"regularizer":[91,98,108],"used":[93,100,110],"avoid":[95],"overfitting;":[96],"Laplacian":[97,116],"capture":[102],"neighborhood":[104],"relationship;":[105],"low-rank":[107],"alleviate":[112],"error":[114],"matrix":[117],"construction":[118],"caused":[119],"original":[123],"samples.":[124],"We":[125],"designed":[126],"experiments":[127],"on":[128],"five":[129],"datasets":[132],"results":[135],"show":[136],"that":[137],"proposed":[139],"superior":[142],"models.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}