{"id":"https://openalex.org/W4313472206","doi":"https://doi.org/10.3390/rs15010207","title":"Hyperspectral Multispectral Image Fusion via Fast Matrix Truncated Singular Value Decomposition","display_name":"Hyperspectral Multispectral Image Fusion via Fast Matrix Truncated Singular Value Decomposition","publication_year":2022,"publication_date":"2022-12-30","ids":{"openalex":"https://openalex.org/W4313472206","doi":"https://doi.org/10.3390/rs15010207"},"language":"en","primary_location":{"id":"doi:10.3390/rs15010207","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15010207","pdf_url":"https://www.mdpi.com/2072-4292/15/1/207/pdf?version=1672824507","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/1/207/pdf?version=1672824507","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027685265","display_name":"Hong Lin","orcid":"https://orcid.org/0000-0002-2969-6801"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Lin","raw_affiliation_strings":["State Key Laboratory of High-Performance Computing, College of Computer Science, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of High-Performance Computing, College of Computer Science, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083852412","display_name":"Jian Long","orcid":"https://orcid.org/0000-0001-7817-9475"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Long","raw_affiliation_strings":["State Key Laboratory of High-Performance Computing, College of Computer Science, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of High-Performance Computing, College of Computer Science, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043043084","display_name":"Yuanxi Peng","orcid":"https://orcid.org/0000-0002-6647-8862"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanxi Peng","raw_affiliation_strings":["State Key Laboratory of High-Performance Computing, College of Computer Science, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of High-Performance Computing, College of Computer Science, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085103595","display_name":"Tong Zhou","orcid":"https://orcid.org/0000-0001-7710-9686"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Zhou","raw_affiliation_strings":["Beijing Institute for Advanced Study, College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, China","State Key Laboratory of High-Performance Computing, College of Computer Science, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute for Advanced Study, College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"State Key Laboratory of High-Performance Computing, College of Computer Science, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083852412"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.2202,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57601233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"15","issue":"1","first_page":"207","last_page":"207"},"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/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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9970999956130981,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7987815141677856},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7770959138870239},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.7108039855957031},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6437716484069824},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6383629441261292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5783958435058594},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.48771461844444275},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4689476191997528},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45559123158454895},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4343263506889343},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4319557547569275},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.426360547542572},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34804850816726685},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11297190189361572}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7987815141677856},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7770959138870239},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7108039855957031},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6437716484069824},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6383629441261292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5783958435058594},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.48771461844444275},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4689476191997528},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45559123158454895},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4343263506889343},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4319557547569275},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.426360547542572},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34804850816726685},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11297190189361572},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15010207","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15010207","pdf_url":"https://www.mdpi.com/2072-4292/15/1/207/pdf?version=1672824507","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b100b984f5274070a15e6ff52c4f539d","is_oa":true,"landing_page_url":"https://doaj.org/article/b100b984f5274070a15e6ff52c4f539d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 1, p 207 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/1/207/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15010207","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 15; Issue 1; Pages: 207","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15010207","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15010207","pdf_url":"https://www.mdpi.com/2072-4292/15/1/207/pdf?version=1672824507","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5186512949","display_name":null,"funder_award_id":"202201-05","funder_id":"https://openalex.org/F4320324150","funder_display_name":"National University of Defense Technology"}],"funders":[{"id":"https://openalex.org/F4320324150","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4313472206.pdf"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1885185971","https://openalex.org/W1964315230","https://openalex.org/W1971335521","https://openalex.org/W1990231296","https://openalex.org/W2001800591","https://openalex.org/W2005876975","https://openalex.org/W2010928391","https://openalex.org/W2020537481","https://openalex.org/W2021046129","https://openalex.org/W2053081714","https://openalex.org/W2087263574","https://openalex.org/W2097259623","https://openalex.org/W2100109944","https://openalex.org/W2100921418","https://openalex.org/W2103192805","https://openalex.org/W2144948131","https://openalex.org/W2159269332","https://openalex.org/W2160547390","https://openalex.org/W2162842940","https://openalex.org/W2166229804","https://openalex.org/W2171108951","https://openalex.org/W2275428569","https://openalex.org/W2327302159","https://openalex.org/W2625894731","https://openalex.org/W2748530166","https://openalex.org/W2770075499","https://openalex.org/W2775194540","https://openalex.org/W2798016471","https://openalex.org/W2804744787","https://openalex.org/W2829067510","https://openalex.org/W2887210918","https://openalex.org/W2897461872","https://openalex.org/W2910457605","https://openalex.org/W2945202593","https://openalex.org/W2999694498","https://openalex.org/W3016410830","https://openalex.org/W3016867217","https://openalex.org/W3023114228","https://openalex.org/W3102912004","https://openalex.org/W3121626508","https://openalex.org/W3210882003","https://openalex.org/W4312553104","https://openalex.org/W6641337122"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W4318664220","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W1987483041"],"abstract_inverted_index":{"Recently,":[0],"methods":[1,34],"for":[2,153],"obtaining":[3],"a":[4,13,68,122],"high":[5,21],"spatial":[6,15,22],"resolution":[7,16,23],"hyperspectral":[8,17],"image":[9,18,25],"(HR-HSI)":[10],"by":[11,133,149,193],"fusing":[12,175],"low":[14],"(LR-HSI)":[19],"and":[20,53,96,119,121,140],"multispectral":[24],"(HR-MSI)":[26],"have":[27],"become":[28],"increasingly":[29],"popular.":[30],"However,":[31],"most":[32],"fusion":[33,60,70,170],"require":[35],"knowing":[36],"the":[37,43,56,74,83,91,94,109,127,150,159,174,190,200],"point":[38],"spread":[39],"function":[40,46],"(PSF)":[41],"or":[42],"spectral":[44,136],"response":[45],"(SRF)":[47],"in":[48,85],"advance,":[49],"which":[50,86],"are":[51,131,147],"uncertain":[52],"thus":[54],"limit":[55],"practicability":[57],"of":[58,144,181],"these":[59],"methods.":[61,203],"To":[62],"solve":[63],"this":[64],"problem,":[65],"we":[66],"propose":[67],"fast":[69],"method":[71,111,146,165,187],"based":[72],"on":[73,112],"matrix":[75,101],"truncated":[76,102],"singular":[77,103],"value":[78,104,192],"decomposition":[79,105],"(FTMSVD)":[80],"without":[81],"using":[82],"SRF,":[84],"our":[87,163,185],"first":[88],"finding":[89],"about":[90],"similarity":[92],"between":[93],"HR-HSI":[95],"HR-MSI":[97],"is":[98],"utilized":[99],"after":[100],"(TMSVD).":[106],"We":[107],"tested":[108],"FTMSVD":[110,145],"two":[113,134],"simulated":[114],"data":[115,124,155],"sets,":[116],"Pavia":[117],"University":[118],"CAVE,":[120],"real":[123],"set":[125],"wherein":[126],"remote":[128],"sensing":[129],"images":[130],"generated":[132],"different":[135],"cameras,":[137],"Sentinel":[138],"2":[139],"Hyperion.":[141],"The":[142],"advantages":[143],"demonstrated":[148],"experimental":[151],"results":[152,171],"all":[154],"sets.":[156],"Compared":[157],"with":[158,199],"state-of-the-art":[160,201],"non-blind":[161],"methods,":[162],"proposed":[164,186],"can":[166,188],"achieve":[167],"more":[168],"effective":[169],"while":[172],"reducing":[173],"time":[176],"to":[177,195],"less":[178],"than":[179],"1%":[180],"such":[182],"methods;":[183],"moreover,":[184],"improve":[189],"PSNR":[191],"up":[194],"16":[196],"dB":[197],"compared":[198],"blind":[202]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2023-01-06T00:00:00"}
