{"id":"https://openalex.org/W4206511152","doi":"https://doi.org/10.1109/tgrs.2021.3133670","title":"A Locally Optimized Model for Hyperspectral and Multispectral Images Fusion","display_name":"A Locally Optimized Model for Hyperspectral and Multispectral Images Fusion","publication_year":2021,"publication_date":"2021-12-07","ids":{"openalex":"https://openalex.org/W4206511152","doi":"https://doi.org/10.1109/tgrs.2021.3133670"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3133670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3133670","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/A5016525205","display_name":"Kai Ren","orcid":"https://orcid.org/0000-0003-4704-5743"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Ren","raw_affiliation_strings":["Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050009113","display_name":"Weiwei Sun","orcid":"https://orcid.org/0000-0003-3399-7858"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Sun","raw_affiliation_strings":["Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0003-3399-7858","affiliations":[{"raw_affiliation_string":"Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018282808","display_name":"Xiangchao Meng","orcid":"https://orcid.org/0000-0002-7405-3143"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangchao Meng","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0002-7405-3143","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074018705","display_name":"Gang Yang","orcid":"https://orcid.org/0000-0002-7001-2037"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Yang","raw_affiliation_strings":["Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0002-7001-2037","affiliations":[{"raw_affiliation_string":"Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036030486","display_name":"Jiangtao Peng","orcid":"https://orcid.org/0000-0002-4759-0584"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangtao Peng","raw_affiliation_strings":["Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4759-0584","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045675946","display_name":"Jingfeng Huang","orcid":"https://orcid.org/0000-0003-4627-6021"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingfeng Huang","raw_affiliation_strings":["Key Laboratory of Agricultural Remote Sensing and Information System, Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou, China","Key Laboratory of Environment Remediation and Ecological Health, Ministry of Education, College of Natural Resources and Environmental Science, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4627-6021","affiliations":[{"raw_affiliation_string":"Key Laboratory of Agricultural Remote Sensing and Information System, Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Key Laboratory of Environment Remediation and Ecological Health, Ministry of Education, College of Natural Resources and Environmental Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1076,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.95950629,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"15"},"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":0.9991999864578247,"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":0.9936000108718872,"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/multispectral-image","display_name":"Multispectral image","score":0.8428318500518799},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8145570755004883},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6695764660835266},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5241166353225708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49909329414367676},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4724947512149811},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.46114450693130493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44845905900001526},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4350851774215698},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.37039464712142944},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1438496708869934}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8428318500518799},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8145570755004883},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6695764660835266},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5241166353225708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49909329414367676},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4724947512149811},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.46114450693130493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44845905900001526},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4350851774215698},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.37039464712142944},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1438496708869934},{"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.2021.3133670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3133670","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":0.6299999952316284,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1731396853","display_name":null,"funder_award_id":"2021CFA087","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G3409118948","display_name":"\u9886\u57df\u81ea\u9002\u5e94\u7684\u9ad8\u5149\u8c31\u9065\u611f\u667a\u80fd\u5206\u7c7b\u4e0e\u6ee8\u6d77\u6e7f\u5730\u5e94\u7528","funder_award_id":"LR19D010001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G5290491421","display_name":null,"funder_award_id":"42171351","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5568457102","display_name":null,"funder_award_id":"41971296","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5745640903","display_name":"\u9ad8\u5149\u8c31\u9065\u611f\u56fe\u50cf\u7684\u9c81\u68d2\u6838\u7a7a\u95f4\u8054\u5408\u7a00\u758f\u8868\u793a\u7814\u7a76","funder_award_id":"61871177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G612811711","display_name":null,"funder_award_id":"LQ18D010001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G713033493","display_name":null,"funder_award_id":"42171326","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7524409454","display_name":null,"funder_award_id":"42122009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7534358263","display_name":null,"funder_award_id":"41801252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8293725174","display_name":null,"funder_award_id":"41801256","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/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1247035941","https://openalex.org/W1495168473","https://openalex.org/W1522046140","https://openalex.org/W1553305639","https://openalex.org/W1940108662","https://openalex.org/W1967395374","https://openalex.org/W1978617972","https://openalex.org/W1980110630","https://openalex.org/W1990231296","https://openalex.org/W1992229061","https://openalex.org/W2001800591","https://openalex.org/W2004661786","https://openalex.org/W2031596845","https://openalex.org/W2061929982","https://openalex.org/W2073623229","https://openalex.org/W2074126754","https://openalex.org/W2092116045","https://openalex.org/W2097259623","https://openalex.org/W2098295833","https://openalex.org/W2102166818","https://openalex.org/W2111924917","https://openalex.org/W2123046940","https://openalex.org/W2129953395","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2211063798","https://openalex.org/W2221899823","https://openalex.org/W2302265399","https://openalex.org/W2327364376","https://openalex.org/W2340823724","https://openalex.org/W2514340250","https://openalex.org/W2565258258","https://openalex.org/W2592312604","https://openalex.org/W2625894731","https://openalex.org/W2748530166","https://openalex.org/W2792111852","https://openalex.org/W2794048225","https://openalex.org/W2803825432","https://openalex.org/W2806865914","https://openalex.org/W2900702559","https://openalex.org/W2927933146","https://openalex.org/W2944395072","https://openalex.org/W2954661277","https://openalex.org/W2963442801","https://openalex.org/W2979303786","https://openalex.org/W3000573080","https://openalex.org/W3010650493","https://openalex.org/W3022131966","https://openalex.org/W3023221758","https://openalex.org/W3045568867","https://openalex.org/W3083730160","https://openalex.org/W3099843321","https://openalex.org/W3109953061","https://openalex.org/W3127815048","https://openalex.org/W3132115664","https://openalex.org/W3134743586","https://openalex.org/W3145574317","https://openalex.org/W3167490419","https://openalex.org/W3168080945","https://openalex.org/W3204169305","https://openalex.org/W6631230401","https://openalex.org/W6633088995","https://openalex.org/W6697828997"],"related_works":["https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W1987483041","https://openalex.org/W2988577871","https://openalex.org/W4391030644","https://openalex.org/W4205174160","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W2788731446","https://openalex.org/W2204403038"],"abstract_inverted_index":{"The":[0,93],"maintenance":[1],"of":[2,66,103],"spectral":[3,91,138],"variability":[4],"between":[5,11],"subclass":[6],"objects":[7,69,86],"and":[8,29,55,60,62,111,134,140],"the":[9,63,67,73,121,127],"relationship":[10],"hyperspectral":[12],"(HS)":[13],"bands":[14],"have":[15],"been":[16],"a":[17,40,77,100,104],"fundamental":[18],"but":[19],"challenging":[20],"problem":[21,95],"for":[22,48,82],"fusing":[23],"low":[24],"spatial":[25,31,132],"resolution":[26,32],"(LR)":[27],"HS":[28,49,54],"high":[30,137],"(HR)":[33],"multispectral":[34],"(MS)":[35],"images.":[36],"This":[37],"article":[38],"presents":[39],"locally":[41],"optimized":[42],"image":[43,144],"segmentation":[44],"fusion":[45,80,94,150],"(LOISF)":[46],"framework":[47],"super-resolution":[50],"reconstruction.":[51],"First,":[52],"LR":[53],"HR":[56],"MS":[57],"are":[58,70],"clustered":[59],"segmented,":[61],"label":[64],"attributes":[65],"segmented":[68],"identified":[71],"by":[72],"prior":[74],"information.":[75],"Then,":[76],"novel":[78],"joint":[79],"model":[81],"different":[83],"typical":[84],"ground":[85],"is":[87,96],"constructed":[88],"based":[89],"on":[90],"unmixing.":[92],"formulated":[97],"mathematically":[98],"as":[99],"convex":[101],"optimization":[102,117],"Frobenius":[105],"norm,":[106],"which":[107],"includes":[108],"spatial,":[109],"spectral,":[110],"index":[112],"constraints,":[113],"with":[114],"an":[115],"alternating-directions\u2019":[116],"featuring":[118],"linearization":[119],"providing":[120],"solution.":[122],"Experimental":[123],"results":[124],"demonstrate":[125],"that":[126],"proposed":[128],"LOISF":[129],"preserves":[130],"both":[131],"details":[133],"texture,":[135],"achieving":[136],"fidelity,":[139],"yielding":[141],"significantly":[142],"improved":[143],"quality":[145],"compared":[146],"to":[147],"other":[148],"state-of-the-art":[149],"methods.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}
