{"id":"https://openalex.org/W4322706739","doi":"https://doi.org/10.1109/tip.2023.3247165","title":"LRTCFPan: Low-Rank Tensor Completion Based Framework for Pansharpening","display_name":"LRTCFPan: Low-Rank Tensor Completion Based Framework for Pansharpening","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4322706739","doi":"https://doi.org/10.1109/tip.2023.3247165","pmid":"https://pubmed.ncbi.nlm.nih.gov/37027760"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2023.3247165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3247165","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5050251254","display_name":"Zhong-Cheng Wu","orcid":"https://orcid.org/0000-0001-6652-8607"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhong-Cheng Wu","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","UESTC - University of Electronic Science and Technology of China [Chengdu] (4 Jianshe North Rd 2nd Section, Chenghua, Chengdu, Sichuan, Chine, 610051 - China)"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"UESTC - University of Electronic Science and Technology of China [Chengdu] (4 Jianshe North Rd 2nd Section, Chenghua, Chengdu, Sichuan, Chine, 610051 - China)","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065782725","display_name":"Ting\u2010Zhu Huang","orcid":"https://orcid.org/0000-0001-7766-230X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting-Zhu Huang","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","UESTC - University of Electronic Science and Technology of China [Chengdu] (4 Jianshe North Rd 2nd Section, Chenghua, Chengdu, Sichuan, Chine, 610051 - China)"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"UESTC - University of Electronic Science and Technology of China [Chengdu] (4 Jianshe North Rd 2nd Section, Chenghua, Chengdu, Sichuan, Chine, 610051 - China)","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088224232","display_name":"Liang-Jian Deng","orcid":"https://orcid.org/0000-0003-3178-9772"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang-Jian Deng","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","UESTC - University of Electronic Science and Technology of China [Chengdu] (4 Jianshe North Rd 2nd Section, Chenghua, Chengdu, Sichuan, Chine, 610051 - China)"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"UESTC - University of Electronic Science and Technology of China [Chengdu] (4 Jianshe North Rd 2nd Section, Chenghua, Chengdu, Sichuan, Chine, 610051 - China)","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029236040","display_name":"Jie Huang","orcid":"https://orcid.org/0000-0002-7684-2533"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Huang","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","UESTC - University of Electronic Science and Technology of China [Chengdu] (4 Jianshe North Rd 2nd Section, Chenghua, Chengdu, Sichuan, Chine, 610051 - China)"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"UESTC - University of Electronic Science and Technology of China [Chengdu] (4 Jianshe North Rd 2nd Section, Chenghua, Chengdu, Sichuan, Chine, 610051 - China)","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]},{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["LJK, CNRS, Inria, Grenoble INP, Universit&#x00E9; Grenoble Alpes, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"LJK, CNRS, Inria, Grenoble INP, Universit&#x00E9; Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210149092","https://openalex.org/I4210101348","https://openalex.org/I899635006","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043777501","display_name":"Gemine Vivone","orcid":"https://orcid.org/0000-0001-9542-0638"},"institutions":[{"id":"https://openalex.org/I4210115556","display_name":"National Research Council - Institute of Methodologies for Environmental Analysis","ror":"https://ror.org/024ye7w89","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210115556","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gemine Vivone","raw_affiliation_strings":["Institute of Methodologies for Environmental Analysis (CNR-IMAA), Tito Scalo, Italy","NBFC - National Biodiversity Future Center (Piazza Marina, 61 90133 Palermo - Italy)","IMAA - Institute of Methodologies for Environmental Analysis of the National Research Council [Italy] (C.da S. Loja-Zona Industriale, 85050 Tito Scalo (PZ) - Italy)"],"affiliations":[{"raw_affiliation_string":"Institute of Methodologies for Environmental Analysis (CNR-IMAA), Tito Scalo, Italy","institution_ids":["https://openalex.org/I4210115556"]},{"raw_affiliation_string":"NBFC - National Biodiversity Future Center (Piazza Marina, 61 90133 Palermo - Italy)","institution_ids":["https://openalex.org/I900890020"]},{"raw_affiliation_string":"IMAA - Institute of Methodologies for Environmental Analysis of the National Research Council [Italy] (C.da S. Loja-Zona Industriale, 85050 Tito Scalo (PZ) - Italy)","institution_ids":["https://openalex.org/I4210115556","https://openalex.org/I4210155236"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5050251254"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":15.1397,"has_fulltext":false,"cited_by_count":96,"citation_normalized_percentile":{"value":0.99238999,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"32","issue":null,"first_page":"1640","last_page":"1655"},"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":0.9976000189781189,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9975000023841858,"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":0.80562424659729},{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.7968528270721436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6917489767074585},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6244203448295593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5935731530189514},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5462054014205933},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4895411431789398},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.47527140378952026},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4662066698074341},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.45178329944610596},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44310569763183594},{"id":"https://openalex.org/keywords/multiresolution-analysis","display_name":"Multiresolution analysis","score":0.42114701867103577},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40803027153015137},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.3523105978965759},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3505358099937439},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3412780165672302},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3386431336402893},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23460900783538818},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.13558357954025269},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.08936017751693726}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.80562424659729},{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.7968528270721436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6917489767074585},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6244203448295593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5935731530189514},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5462054014205933},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4895411431789398},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.47527140378952026},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4662066698074341},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.45178329944610596},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44310569763183594},{"id":"https://openalex.org/C121927907","wikidata":"https://www.wikidata.org/wiki/Q1952516","display_name":"Multiresolution analysis","level":5,"score":0.42114701867103577},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40803027153015137},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3523105978965759},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3505358099937439},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3412780165672302},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3386431336402893},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23460900783538818},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.13558357954025269},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.08936017751693726},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tip.2023.3247165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3247165","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:37027760","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37027760","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:HAL:hal-04473781v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04473781","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Image Processing, 2023, 32, pp.1640-1655. &#x27E8;10.1109/TIP.2023.3247165&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:it.cnr:prodotti:486629","is_oa":false,"landing_page_url":"http://www.cnr.it/prodotto/i/486629","pdf_url":null,"source":{"id":"https://openalex.org/S7407055101","display_name":"CNR ExploRA","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"info:cnr-pdr/source/autori:Wu, Zhong-Cheng; Huang, Ting-Zhu; Deng, Liang-Jian; Huang, Jie; Chanussot, Jocelyn; Vivone, Gemine/titolo:LRTCFPan: Low-Rank Tensor Completion Based Framework for Pansharpening/doi:10.1109%2FTIP.2023.3247165/rivista:IEEE transactions on image processing/anno:2023/pagina_da:1640/pagina_a:1655/intervallo_pagine:1640\u20131655/volume:32","raw_type":"Articolo in rivista"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G1160855140","display_name":null,"funder_award_id":"2022NSFSC0501","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"},{"id":"https://openalex.org/G1628077028","display_name":null,"funder_award_id":"2020YFA0714001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2129173210","display_name":null,"funder_award_id":"12271083","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3778334585","display_name":null,"funder_award_id":"12171072","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4984401012","display_name":null,"funder_award_id":"2020YJ0216","funder_id":"https://openalex.org/F4320333337","funder_display_name":"Applied Basic Research Program of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null},{"id":"https://openalex.org/F4320333337","display_name":"Applied Basic Research Program of Sichuan Province","ror":null},{"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":79,"referenced_works":["https://openalex.org/W1247035941","https://openalex.org/W1522046140","https://openalex.org/W1661193476","https://openalex.org/W1871293042","https://openalex.org/W1940108662","https://openalex.org/W1963826206","https://openalex.org/W1976447720","https://openalex.org/W1978376511","https://openalex.org/W1980110630","https://openalex.org/W1992426838","https://openalex.org/W2001800591","https://openalex.org/W2011830145","https://openalex.org/W2030927653","https://openalex.org/W2043571470","https://openalex.org/W2064366277","https://openalex.org/W2100329651","https://openalex.org/W2110034185","https://openalex.org/W2112693869","https://openalex.org/W2116988482","https://openalex.org/W2123046940","https://openalex.org/W2124743705","https://openalex.org/W2133665775","https://openalex.org/W2139529730","https://openalex.org/W2163334907","https://openalex.org/W2163677711","https://openalex.org/W2166229804","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2172185514","https://openalex.org/W2198968434","https://openalex.org/W2258054274","https://openalex.org/W2339428543","https://openalex.org/W2394774286","https://openalex.org/W2560449954","https://openalex.org/W2777033955","https://openalex.org/W2784332378","https://openalex.org/W2792111852","https://openalex.org/W2792142731","https://openalex.org/W2798016471","https://openalex.org/W2803614623","https://openalex.org/W2889626069","https://openalex.org/W2889923760","https://openalex.org/W2899701176","https://openalex.org/W2913935587","https://openalex.org/W2918050465","https://openalex.org/W2935896423","https://openalex.org/W2944375193","https://openalex.org/W2945202593","https://openalex.org/W2947324203","https://openalex.org/W2948437909","https://openalex.org/W2963442801","https://openalex.org/W2963476323","https://openalex.org/W2963774720","https://openalex.org/W2963885538","https://openalex.org/W2965814782","https://openalex.org/W2979001238","https://openalex.org/W2996534391","https://openalex.org/W2999694498","https://openalex.org/W3029812440","https://openalex.org/W3036024602","https://openalex.org/W3043497621","https://openalex.org/W3095155556","https://openalex.org/W3096904276","https://openalex.org/W3099843321","https://openalex.org/W3102253068","https://openalex.org/W3111907788","https://openalex.org/W3150135133","https://openalex.org/W3165892790","https://openalex.org/W3184222359","https://openalex.org/W3203670180","https://openalex.org/W3206399630","https://openalex.org/W3206518131","https://openalex.org/W4200127876","https://openalex.org/W4213414598","https://openalex.org/W4226469049","https://openalex.org/W6623043969","https://openalex.org/W6628238970","https://openalex.org/W6631230401","https://openalex.org/W6736425207"],"related_works":["https://openalex.org/W2066613488","https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2182590612","https://openalex.org/W3153582293","https://openalex.org/W2905397092","https://openalex.org/W2269775642","https://openalex.org/W3080537281","https://openalex.org/W2289746762","https://openalex.org/W2139384960"],"abstract_inverted_index":{"Pansharpening":[0],"refers":[1],"to":[2,126],"the":[3,53,58,63,84,89,97,104,112,130,134,138,147,160,187],"fusion":[4],"of":[5,62,114,133,141,170],"a":[6,12,22,74,95,119],"low":[7],"spatial-resolution":[8,14],"multispectral":[9,33,142],"image":[10,34,46,76],"with":[11,29,107],"high":[13],"panchromatic":[15,135],"image.":[16,136],"In":[17],"this":[18],"paper,":[19],"we":[20,71,116,164],"propose":[21],"novel":[23],"low-rank":[24],"tensor":[25,39,90],"completion":[26,40,91,154],"(LRTC)-based":[27],"framework":[28],"some":[30,108],"regularizers":[31],"for":[32,45,152],"pansharpening,":[35],"called":[36],"LRTCFPan.":[37],"The":[38,196],"technique":[41,106],"is":[42,101,144,150,198],"commonly":[43],"used":[44],"recovery,":[47],"but":[48],"it":[49],"cannot":[50],"directly":[51],"perform":[52],"pansharpening":[54,99,194],"or,":[55],"more":[56,127],"generally,":[57],"super-resolution":[59,77],"problem":[60,100],"because":[61],"formulation":[64],"gap.":[65],"Different":[66],"from":[67],"previous":[68],"variational":[69],"methods,":[70],"first":[72],"formulate":[73],"pioneering":[75],"(ISR)":[78],"degradation":[79],"model,":[80,163],"which":[81],"equivalently":[82],"removes":[83],"downsampling":[85],"operator":[86],"and":[87,146,155,180],"transforms":[88],"framework.":[92],"Under":[93],"such":[94],"framework,":[96],"original":[98],"realized":[102],"by":[103],"LRTC-based":[105],"deblurring":[109],"regularizers.":[110],"From":[111],"perspective":[113],"regularizer,":[115],"further":[117],"explore":[118],"local-similarity-based":[120],"dynamic":[121],"detail":[122],"mapping":[123],"(DDM)":[124],"term":[125],"accurately":[128],"capture":[129],"spatial":[131],"content":[132],"Moreover,":[137],"low-tubal-rank":[139,148],"property":[140],"images":[143],"investigated,":[145],"prior":[149],"introduced":[151],"better":[153],"global":[156],"characterization.":[157],"To":[158],"solve":[159],"proposed":[161],"LRTCFPan":[162,188],"develop":[165],"an":[166],"alternating":[167],"direction":[168],"method":[169,189],"multipliers":[171],"(ADMM)-based":[172],"algorithm.":[173],"Comprehensive":[174],"experiments":[175],"at":[176],"reduced-resolution":[177],"(i.e.,":[178,182],"simulated)":[179],"full-resolution":[181],"real)":[183],"data":[184],"exhibit":[185],"that":[186],"significantly":[190],"outperforms":[191],"other":[192],"state-of-the-art":[193],"methods.":[195],"code":[197],"publicly":[199],"available":[200],"at:":[201],"https://github.com/zhongchengwu/code_LRTCFPan.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":38},{"year":2024,"cited_by_count":35},{"year":2023,"cited_by_count":15}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
