{"id":"https://openalex.org/W2931993473","doi":"https://doi.org/10.1109/tgrs.2019.2904108","title":"Hyperspectral Image Super-Resolution Using Deep Feature Matrix Factorization","display_name":"Hyperspectral Image Super-Resolution Using Deep Feature Matrix Factorization","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2931993473","doi":"https://doi.org/10.1109/tgrs.2019.2904108","mag":"2931993473"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2019.2904108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2904108","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/A5052163069","display_name":"Weiying Xie","orcid":"https://orcid.org/0000-0001-8310-024X"},"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":"Weiying Xie","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-8310-024X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024631382","display_name":"Xiuping Jia","orcid":"https://orcid.org/0000-0001-9916-6382"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiuping Jia","raw_affiliation_strings":["School of Engineering and Information Technology, The University of New South Wales, Canberra, ACT, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9916-6382","affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, The University of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067798266","display_name":"Yunsong Li","orcid":"https://orcid.org/0000-0002-0234-6270"},"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":"Yunsong Li","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007285444","display_name":"Jie Lei","orcid":"https://orcid.org/0000-0003-0851-6565"},"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":"Jie Lei","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-0851-6565","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.3363,"has_fulltext":false,"cited_by_count":90,"citation_normalized_percentile":{"value":0.97727789,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"57","issue":"8","first_page":"6055","last_page":"6067"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","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/T11659","display_name":"Advanced Image Fusion Techniques","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.750111997127533},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7123994827270508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6707087755203247},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6570206880569458},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6247302889823914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6196576356887817},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.585608959197998},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5656155347824097},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4452567398548126},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4409095346927643},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.418123722076416},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4006039500236511},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.1117699146270752}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.750111997127533},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7123994827270508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6707087755203247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6570206880569458},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6247302889823914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6196576356887817},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.585608959197998},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5656155347824097},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4452567398548126},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4409095346927643},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.418123722076416},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4006039500236511},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.1117699146270752},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2019.2904108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2904108","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":[],"awards":[{"id":"https://openalex.org/G1147426558","display_name":null,"funder_award_id":"JB180104","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G1424917938","display_name":null,"funder_award_id":"61701360","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1595715893","display_name":null,"funder_award_id":"B08038","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G4131587450","display_name":"\u56fe\u50cf\u7b97\u672f\u7f16\u7801\u7279\u5f81\u53ca\u540c\u6b65\u6280\u672f\u7814\u7a76","funder_award_id":"61571345","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4507359911","display_name":null,"funder_award_id":"61502367","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5657849150","display_name":null,"funder_award_id":"91538101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7389467270","display_name":null,"funder_award_id":"2017M620440","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7594473715","display_name":null,"funder_award_id":"61801359","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G841248577","display_name":null,"funder_award_id":"61501346","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1893083536","https://openalex.org/W1902027874","https://openalex.org/W1963882359","https://openalex.org/W1990231296","https://openalex.org/W2010515061","https://openalex.org/W2012946078","https://openalex.org/W2100109944","https://openalex.org/W2107476778","https://openalex.org/W2125118959","https://openalex.org/W2135619855","https://openalex.org/W2144188273","https://openalex.org/W2157321686","https://openalex.org/W2162842940","https://openalex.org/W2194775991","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2327302159","https://openalex.org/W2343117455","https://openalex.org/W2414132572","https://openalex.org/W2466904943","https://openalex.org/W2533102868","https://openalex.org/W2588000623","https://openalex.org/W2607041014","https://openalex.org/W2608819578","https://openalex.org/W2615706402","https://openalex.org/W2732386754","https://openalex.org/W2749506874","https://openalex.org/W2752716059","https://openalex.org/W2767522909","https://openalex.org/W2768975974","https://openalex.org/W2773049485","https://openalex.org/W2887202977","https://openalex.org/W2889107641","https://openalex.org/W2889811736","https://openalex.org/W2901084634","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963641969","https://openalex.org/W2963774283","https://openalex.org/W4231342789","https://openalex.org/W6750641859"],"related_works":["https://openalex.org/W4308269461","https://openalex.org/W4281395053","https://openalex.org/W2020769413","https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2317401237"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1],"(HSIs)":[2],"can":[3],"describe":[4],"the":[5,9,85,103,106,119,123,132,143,162,172,184,197,203,209,215,218,237],"subtle":[6],"differences":[7],"in":[8,179],"spectral":[10,99,169,186,219,249],"signatures":[11],"of":[12,84,93,171,199,217],"materials.":[13],"However,":[14],"they":[15],"have":[16,225],"low":[17],"spatial":[18,95,158,181,188,221],"resolution":[19],"due":[20],"to":[21,118,154],"various":[22],"hardware":[23],"limitations.":[24],"Improving":[25],"it":[26,247],"via":[27],"postprocess":[28],"without":[29],"an":[30],"auxiliary":[31],"high-resolution":[32],"(HR)":[33],"image":[34],"still":[35],"remains":[36],"a":[37,49,68,91,139,152,180,242],"challenging":[38],"problem.":[39],"In":[40,102],"this":[41,45],"paper,":[42],"we":[43],"address":[44],"problem":[46],"and":[47,98,122,142,187,202,220],"propose":[48],"new":[50],"HSI":[51,87,110,165,201,211],"super-resolution":[52],"(SR)":[53],"method.":[54],"Our":[55],"approach,":[56],"called":[57],"deep":[58,69,157],"feature":[59,64,96,100,159,189,222],"matrix":[60,65,75,97],"factorization":[61,76],"(DFMF),":[62],"blends":[63],"extracted":[66,192],"by":[67,138,214],"neural":[70],"network":[71],"(DNN)":[72],"with":[73,166],"nonnegative":[74,185],"strategy":[77],"for":[78],"super-resolving":[79,178,244],"real-scene":[80,229],"HSI.":[81,232],"The":[82],"estimation":[83],"HR":[86,144,204,210],"is":[88,111,126,136,148,212],"formulated":[89],"as":[90,151,246],"combination":[92],"latent":[94],"matrix.":[101,160],"DFMF":[104,239],"model,":[105,141],"input":[107,163],"low-resolution":[108],"(LR)":[109],"first":[112],"partitioned":[113],"into":[114],"several":[115],"subsets":[116],"according":[117],"correlation":[120],"matrix,":[121],"key":[124,133,145,205],"band":[125,134,146,206],"selected":[127],"from":[128,194],"each":[129],"subset.":[130],"Then,":[131],"group":[135,147],"super-resolved":[137],"DNN":[140],"then":[149],"used":[150],"guide":[153],"carry":[155],"out":[156],"Specifically,":[161],"LR":[164,200],"prototype":[167],"reflectance":[168],"vectors":[170],"scene":[173],"will":[174],"be":[175],"preserved":[176],"when":[177],"domain.":[182],"Thus,":[183],"matrices":[190],"are":[191],"simultaneously":[193],"alternately":[195],"factorizing":[196],"pair":[198],"group.":[207],"Finally,":[208],"obtained":[213],"integration":[216],"matrices.":[223],"Experiments":[224],"been":[226],"conducted":[227],"on":[228],"remote":[230],"sensing":[231],"Comparative":[233],"analyses":[234],"validate":[235],"that":[236],"proposed":[238],"method":[240],"presents":[241],"superior":[243],"performance,":[245],"preserves":[248],"information":[250],"better.":[251]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}