{"id":"https://openalex.org/W3211923720","doi":"https://doi.org/10.1109/tgrs.2021.3128279","title":"HyperFusion: A Computational Approach for Hyperspectral, Multispectral, and Panchromatic Image Fusion","display_name":"HyperFusion: A Computational Approach for Hyperspectral, Multispectral, and Panchromatic Image Fusion","publication_year":2021,"publication_date":"2021-11-15","ids":{"openalex":"https://openalex.org/W3211923720","doi":"https://doi.org/10.1109/tgrs.2021.3128279","mag":"3211923720"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3128279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3128279","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/A5091353529","display_name":"Xin Tian","orcid":"https://orcid.org/0000-0003-1993-2708"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Tian","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-1993-2708","affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092052992","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-5915-0762"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5915-0762","affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101533961","display_name":"Yuerong Chen","orcid":"https://orcid.org/0000-0003-2365-5942"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuerong Chen","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100741750","display_name":"Zhongyuan Wang","orcid":"https://orcid.org/0000-0002-9796-488X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyuan Wang","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-9796-488X","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040010053","display_name":"Jiayi Ma","orcid":"https://orcid.org/0000-0003-3264-3265"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Ma","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3264-3265","affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":2.278,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.89458081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"16"},"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":0.9995999932289124,"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":0.994700014591217,"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/panchromatic-film","display_name":"Panchromatic film","score":0.9170256853103638},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.8230677247047424},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8125324249267578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7611957788467407},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6938601732254028},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5659404993057251},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5115448236465454},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.48871731758117676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46929842233657837},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.46236804127693176},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42761147022247314},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2955993413925171},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09024631977081299}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.9170256853103638},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8230677247047424},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8125324249267578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7611957788467407},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6938601732254028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5659404993057251},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5115448236465454},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.48871731758117676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46929842233657837},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.46236804127693176},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42761147022247314},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2955993413925171},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09024631977081299}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2021.3128279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3128279","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":[{"display_name":"Sustainable cities and communities","score":0.5,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3260984976","display_name":null,"funder_award_id":"61773295","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8308266195","display_name":null,"funder_award_id":"61971315","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W1495168473","https://openalex.org/W1871293042","https://openalex.org/W1940108662","https://openalex.org/W1987308362","https://openalex.org/W1990231296","https://openalex.org/W2014823423","https://openalex.org/W2016147261","https://openalex.org/W2017121865","https://openalex.org/W2021046129","https://openalex.org/W2024700522","https://openalex.org/W2064632414","https://openalex.org/W2074126754","https://openalex.org/W2100556411","https://openalex.org/W2103972604","https://openalex.org/W2112693869","https://openalex.org/W2115331407","https://openalex.org/W2123031198","https://openalex.org/W2123046940","https://openalex.org/W2124743705","https://openalex.org/W2157321686","https://openalex.org/W2159269332","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2171845746","https://openalex.org/W2175928462","https://openalex.org/W2221899823","https://openalex.org/W2327302159","https://openalex.org/W2339428543","https://openalex.org/W2462592242","https://openalex.org/W2519236071","https://openalex.org/W2592312604","https://openalex.org/W2601517469","https://openalex.org/W2619662254","https://openalex.org/W2625894731","https://openalex.org/W2775526779","https://openalex.org/W2782517596","https://openalex.org/W2792111852","https://openalex.org/W2798016471","https://openalex.org/W2799929262","https://openalex.org/W2804744787","https://openalex.org/W2890133123","https://openalex.org/W2906379534","https://openalex.org/W2910457605","https://openalex.org/W2921541691","https://openalex.org/W2942145728","https://openalex.org/W2944395072","https://openalex.org/W2945202593","https://openalex.org/W2948437909","https://openalex.org/W2949679648","https://openalex.org/W2963183385","https://openalex.org/W2963284277","https://openalex.org/W2963442801","https://openalex.org/W2980358775","https://openalex.org/W2987901342","https://openalex.org/W2995339751","https://openalex.org/W2997011911","https://openalex.org/W3004420191","https://openalex.org/W3016244469","https://openalex.org/W3022131966","https://openalex.org/W3035189891","https://openalex.org/W3035920463","https://openalex.org/W3036200672","https://openalex.org/W3040662573","https://openalex.org/W3044477028","https://openalex.org/W3048794210","https://openalex.org/W3080368312","https://openalex.org/W3080988368","https://openalex.org/W3081611557","https://openalex.org/W3083259708","https://openalex.org/W3088339669","https://openalex.org/W3097824737","https://openalex.org/W3099239430","https://openalex.org/W3099843321","https://openalex.org/W3102253068","https://openalex.org/W3102912004","https://openalex.org/W3104313739","https://openalex.org/W3120331810","https://openalex.org/W3121629662","https://openalex.org/W3133774295","https://openalex.org/W3136140595","https://openalex.org/W3157967435","https://openalex.org/W3176750081","https://openalex.org/W3181367324","https://openalex.org/W6685078114"],"related_works":["https://openalex.org/W1930929277","https://openalex.org/W2158394102","https://openalex.org/W2361746014","https://openalex.org/W1502637513","https://openalex.org/W2124952510","https://openalex.org/W2375311607","https://openalex.org/W2022261651","https://openalex.org/W4285005667","https://openalex.org/W2950729865","https://openalex.org/W2565514930"],"abstract_inverted_index":{"Fusing":[0],"hyperspectral":[1],"image":[2,6],"(HSI)":[3],"and":[4,70,92,107,112,180,192,207,230],"multispectral":[5],"(MSI)":[7],"of":[8,18,26,38,47,100,124,166,217,222,227,239,248],"high":[9,19,170],"spatial":[10,20,24,36,45,106,122,171],"resolution":[11,37,46],"is":[12,30],"typically":[13],"utilized":[14],"to":[15,33,160,199,213,244],"obtain":[16],"HSIs":[17],"resolution.":[21,172],"However,":[22],"the":[23,34,44,48,53,101,105,121,127,132,146,157,163,167,175,186,194,215,223,246],"quality":[25,229],"most":[27],"existing":[28],"methods":[29],"unsatisfactory":[31],"due":[32],"limited":[35],"an":[39,189],"MSI.":[40],"To":[41,74,118],"further":[42,137],"improve":[43],"fused":[49,102,128],"HSI":[50,91,111,129,168],"while":[51,130],"keeping":[52,131],"spectral":[54,108,133],"information":[55,109,134],"well,":[56,135],"we":[57,78,136,150,183],"propose":[58],"a":[59,87,139,236],"new":[60],"computational":[61],"paradigm,":[62],"named":[63],"HyperFusion,":[64],"which":[65],"simultaneously":[66],"fuses":[67],"HSI,":[68],"MSI,":[69],"panchromatic":[71],"(PAN)":[72],"image.":[73],"achieve":[75],"this":[76],"goal,":[77],"first":[79],"establish":[80],"two":[81],"data":[82,177],"fidelity":[83,178],"terms":[84,179,226],"based":[85,144],"on":[86,145,156,205],"physical":[88],"observation":[89],"that":[90],"MSI":[93,113],"can":[94,114],"be":[95,115],"treated":[96],"as":[97,188],"degraded":[98],"versions":[99],"HSI.":[103],"Consequently,":[104],"from":[110,142],"well":[116],"preserved.":[117],"efficiently":[119],"transfer":[120],"details":[123],"PAN":[125,143],"into":[126],"construct":[138],"prior":[140,154,181],"constraint":[141,155],"structural":[147],"similarity.":[148],"Meanwhile,":[149],"impose":[151],"another":[152],"low-rank":[153],"coefficient":[158],"matrix":[159],"accurately":[161],"describe":[162],"latent":[164],"characteristics":[165],"with":[169],"By":[173],"incorporating":[174],"aforementioned":[176],"constraints,":[182],"finally":[184],"formulate":[185],"objective":[187],"optimization":[190],"problem":[191],"utilize":[193],"alternative":[195],"direction":[196],"multiplier":[197],"method":[198],"solve":[200],"it":[201],"efficiently.":[202],"Comprehensive":[203],"experiments":[204],"simulated":[206,237],"real":[208],"datasets":[209],"are":[210],"carried":[211],"out":[212],"demonstrate":[214],"superiority":[216],"HyperFusion":[218,249],"over":[219],"other":[220],"state":[221],"arts":[224],"in":[225,250],"visual":[228],"quantitative":[231],"analysis.":[232],"We":[233],"also":[234],"adopt":[235],"experiment":[238],"vegetation":[240],"coverage":[241],"index":[242],"analysis":[243],"verify":[245],"effectiveness":[247],"remote":[251],"sensing":[252],"applications.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
