{"id":"https://openalex.org/W4400351901","doi":"https://doi.org/10.1109/tgrs.2024.3423422","title":"Spectral Correlation-Based Fusion Network for Hyperspectral Image Super-Resolution","display_name":"Spectral Correlation-Based Fusion Network for Hyperspectral Image Super-Resolution","publication_year":2024,"publication_date":"2024-07-05","ids":{"openalex":"https://openalex.org/W4400351901","doi":"https://doi.org/10.1109/tgrs.2024.3423422"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3423422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3423422","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/A5079862010","display_name":"Qiqi Zhu","orcid":"https://orcid.org/0000-0002-5339-0829"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiqi Zhu","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5339-0829","affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049235665","display_name":"Meilin Zhang","orcid":"https://orcid.org/0009-0007-5835-3406"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meilin Zhang","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0007-5835-3406","affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102803648","display_name":"Yuling Chen","orcid":"https://orcid.org/0000-0002-0591-7964"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuling Chen","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101819670","display_name":"Guizhou Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guizhou Zheng","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2890-6395","affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jiancheng Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancheng Luo","raw_affiliation_strings":["Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5914,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.95137233,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.996399998664856,"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":0.996399998664856,"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":0.9309999942779541,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9261999726295471,"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":0.8885281085968018},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5711207985877991},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5502146482467651},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.54640793800354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5345425009727478},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5200233459472656},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4704524576663971},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.46456021070480347},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4602014720439911},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44074076414108276},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37237748503685},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.370985746383667},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23917695879936218}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8885281085968018},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5711207985877991},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5502146482467651},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.54640793800354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5345425009727478},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5200233459472656},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4704524576663971},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.46456021070480347},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4602014720439911},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44074076414108276},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37237748503685},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.370985746383667},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23917695879936218},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3423422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3423422","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/G2303166989","display_name":null,"funder_award_id":"OFSLRSS202329","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7365769760","display_name":null,"funder_award_id":"2022YFB3903402","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8784073608","display_name":null,"funder_award_id":"42271413","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1495168473","https://openalex.org/W1940108662","https://openalex.org/W1986525829","https://openalex.org/W1990231296","https://openalex.org/W2001800591","https://openalex.org/W2021046129","https://openalex.org/W2092116045","https://openalex.org/W2114770744","https://openalex.org/W2116796676","https://openalex.org/W2117146861","https://openalex.org/W2171108951","https://openalex.org/W2200474412","https://openalex.org/W2327302159","https://openalex.org/W2562637781","https://openalex.org/W2592312604","https://openalex.org/W2618530766","https://openalex.org/W2625894731","https://openalex.org/W2748530166","https://openalex.org/W2804744787","https://openalex.org/W2883589384","https://openalex.org/W2908833896","https://openalex.org/W2927933146","https://openalex.org/W2931993473","https://openalex.org/W2941707854","https://openalex.org/W2953395566","https://openalex.org/W2963446712","https://openalex.org/W2964101377","https://openalex.org/W2964140612","https://openalex.org/W2987901342","https://openalex.org/W2989355516","https://openalex.org/W3016410830","https://openalex.org/W3022131966","https://openalex.org/W3036024602","https://openalex.org/W3043719198","https://openalex.org/W3097353710","https://openalex.org/W3123265576","https://openalex.org/W3126994406","https://openalex.org/W3132115664","https://openalex.org/W3150573203","https://openalex.org/W3155616613","https://openalex.org/W3161700323","https://openalex.org/W3164173661","https://openalex.org/W3165209762","https://openalex.org/W3190178154","https://openalex.org/W3196711624","https://openalex.org/W3206196854","https://openalex.org/W3207217854","https://openalex.org/W3208146808","https://openalex.org/W4206667434","https://openalex.org/W4226328078","https://openalex.org/W4229058281","https://openalex.org/W4285179032","https://openalex.org/W4285299125","https://openalex.org/W4286484337","https://openalex.org/W4288064619","https://openalex.org/W4309367935","https://openalex.org/W4318953520","https://openalex.org/W4320018440","https://openalex.org/W4321380750","https://openalex.org/W4366148227","https://openalex.org/W4367146812","https://openalex.org/W4381429186","https://openalex.org/W4383501078","https://openalex.org/W4384819934","https://openalex.org/W4385413338","https://openalex.org/W4386266673","https://openalex.org/W4386766980","https://openalex.org/W4388152217","https://openalex.org/W4391547501","https://openalex.org/W4393207062","https://openalex.org/W4395017619","https://openalex.org/W4395661414","https://openalex.org/W4396499215"],"related_works":["https://openalex.org/W2911259277","https://openalex.org/W4386427838","https://openalex.org/W2800956885","https://openalex.org/W2533019003","https://openalex.org/W2057283258","https://openalex.org/W1788560349","https://openalex.org/W2317401237","https://openalex.org/W2579567122","https://openalex.org/W1990800631","https://openalex.org/W2167120702"],"abstract_inverted_index":{"To":[0,105,129],"address":[1,71,130],"the":[2,26,35,72,86,107,131,142,185,197,202],"limitations":[3],"of":[4,38,53,144,187,201],"hyperspectral":[5,14,167,189],"imaging":[6],"systems,":[7],"super-resolution":[8],"(SR)":[9],"techniques":[10],"that":[11,172],"fuse":[12],"low-resolution":[13],"image":[15,20,148,160],"(HSI)":[16],"with":[17],"high-resolution":[18],"multispectral":[19,191],"(MSI)":[21],"are":[22,138],"applied.":[23],"Due":[24],"to":[25,70,84,95,140],"significant":[27],"modal":[28],"difference":[29],"between":[30,90],"HSI":[31,39,94],"and":[32,34,51,56,101,125,150,158,180,190,199],"MSI,":[33,112],"insufficient":[36],"consideration":[37],"band":[40],"correlation":[41],"in":[42,93,111,177],"previous":[43],"works,":[44],"issues":[45],"arise":[46],"such":[47],"as":[48],"spectral":[49,63,78,91,98,103,153],"distortions":[50],"loss":[52],"fine":[54],"texture":[55,109],"boundaries.":[57],"In":[58],"this":[59],"article,":[60],"an":[61],"unsupervised":[62],"correlation-based":[64],"fusion":[65,186],"network":[66],"(SCFN)":[67],"is":[68,82,118],"proposed":[69,83,203],"above":[73],"challenges.":[74],"A":[75],"new":[76,135],"dense":[77],"convolution":[79],"module":[80],"(DSCM)":[81],"capture":[85],"intrinsic":[87],"similarity":[88],"dependence":[89],"bands":[92],"effectively":[96,151],"extract":[97],"domain":[99],"features":[100],"mitigate":[102],"aberrations.":[104],"preserve":[106],"rich":[108],"details":[110],"a":[113],"global-local":[114],"aware":[115],"block":[116],"(GAB)":[117],"designed":[119],"for":[120,155],"joint":[121,136],"global":[122],"contextual":[123],"information":[124,146],"emphasize":[126],"critical":[127],"regions.":[128],"cross-modal":[132],"disparity":[133,154],"problem,":[134],"losses":[137],"constructed":[139],"improve":[141],"preservation":[143],"high-frequency":[145],"during":[147],"reconstruction":[149],"minimize":[152],"more":[156],"precise":[157],"accurate":[159],"reconstruction.":[161],"The":[162],"experimental":[163],"results":[164],"on":[165],"three":[166],"remote":[168,192],"sensing":[169,193],"datasets":[170],"demonstrate":[171],"SCFN":[173],"outperforms":[174],"other":[175],"methods":[176],"both":[178],"qualitative":[179],"quantitative":[181],"comparisons.":[182],"Results":[183],"from":[184],"real":[188],"data":[194],"further":[195],"confirm":[196],"applicability":[198],"effectiveness":[200],"network.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
