{"id":"https://openalex.org/W3121629662","doi":"https://doi.org/10.1109/tgrs.2020.3048257","title":"Variational Pansharpening by Exploiting Cartoon-Texture Similarities","display_name":"Variational Pansharpening by Exploiting Cartoon-Texture Similarities","publication_year":2021,"publication_date":"2021-01-15","ids":{"openalex":"https://openalex.org/W3121629662","doi":"https://doi.org/10.1109/tgrs.2020.3048257","mag":"3121629662"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3048257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3048257","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/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/A5059464739","display_name":"Changcai Yang","orcid":"https://orcid.org/0000-0003-0996-9718"},"institutions":[{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changcai Yang","raw_affiliation_strings":["College of Computer and Information Science, Fujian Agriculture and Forestry University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0996-9718","affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Fujian Agriculture and Forestry University, Fuzhou, China","institution_ids":["https://openalex.org/I61057504"]}]},{"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":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.2367,"has_fulltext":false,"cited_by_count":87,"citation_normalized_percentile":{"value":0.98262262,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"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":0.9965999722480774,"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":0.992900013923645,"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":0.8229967355728149},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7204341292381287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6736212372779846},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5802977085113525},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5715704560279846},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5481293201446533},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5303545594215393},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47875896096229553},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.437640905380249},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28537023067474365},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25795871019363403}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.8229967355728149},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7204341292381287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6736212372779846},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5802977085113525},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5715704560279846},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5481293201446533},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5303545594215393},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47875896096229553},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.437640905380249},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28537023067474365},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25795871019363403}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.3048257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3048257","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":"Life in Land","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/15"}],"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/G500804759","display_name":null,"funder_award_id":"2042018kf1009","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7714774854","display_name":null,"funder_award_id":"2018CFB435","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"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"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1488881187","https://openalex.org/W1553305639","https://openalex.org/W1871293042","https://openalex.org/W1943127271","https://openalex.org/W1966272949","https://openalex.org/W1972568768","https://openalex.org/W1984127314","https://openalex.org/W1993040740","https://openalex.org/W2004346156","https://openalex.org/W2011830145","https://openalex.org/W2017121865","https://openalex.org/W2039878129","https://openalex.org/W2045094421","https://openalex.org/W2054440797","https://openalex.org/W2064366277","https://openalex.org/W2066630786","https://openalex.org/W2068985111","https://openalex.org/W2100329651","https://openalex.org/W2100556411","https://openalex.org/W2103972604","https://openalex.org/W2107861471","https://openalex.org/W2109526535","https://openalex.org/W2112693869","https://openalex.org/W2113338111","https://openalex.org/W2120053475","https://openalex.org/W2121652279","https://openalex.org/W2123046940","https://openalex.org/W2124743705","https://openalex.org/W2125008487","https://openalex.org/W2132632914","https://openalex.org/W2136401825","https://openalex.org/W2136530150","https://openalex.org/W2139529730","https://openalex.org/W2142843085","https://openalex.org/W2143697947","https://openalex.org/W2151386876","https://openalex.org/W2169899245","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2171627515","https://openalex.org/W2171845746","https://openalex.org/W2266694576","https://openalex.org/W2293262472","https://openalex.org/W2462592242","https://openalex.org/W2519236071","https://openalex.org/W2619662254","https://openalex.org/W2740578684","https://openalex.org/W2754256031","https://openalex.org/W2770525455","https://openalex.org/W2912147220","https://openalex.org/W2948437909","https://openalex.org/W2963183385","https://openalex.org/W3011768656","https://openalex.org/W3015947502","https://openalex.org/W3023991509","https://openalex.org/W3098542449","https://openalex.org/W3102253068","https://openalex.org/W6602248423","https://openalex.org/W6633088995","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/W2011962637","https://openalex.org/W2163677711","https://openalex.org/W2036727360"],"abstract_inverted_index":{"Pansharpening":[0],"aims":[1],"to":[2,21,207],"fuse":[3],"a":[4,13,18,38,119,142,190,201],"multispectral":[5],"(MS)":[6],"image":[7,16,24,78,159],"with":[8,17,25,162],"low":[9],"spatial":[10,31,85],"resolution":[11,20,76],"and":[12,29,83,97,102,174,196,220,238],"panchromatic":[14],"(PAN)":[15],"high-spatial":[19,75],"produce":[22],"an":[23,171],"both":[26,235],"high":[27,30],"spectral":[28,149],"resolution.":[32],"In":[33],"this":[34],"study,":[35],"we":[36,110,125,166,197],"propose":[37],"variational":[39],"pansharpening":[40,169,230],"method":[41,214,226],"by":[42],"exploiting":[43],"cartoon-texture":[44,108],"similarities.":[45],"After":[46],"decomposition":[47],"of":[48,95,192,211,234],"the":[49,52,57,62,66,73,81,93,148,152,155,163,179,209,212,228],"PAN":[50,101],"image,":[51,165],"cartoon":[53,96,112],"component":[54,64],"always":[55],"contains":[56],"global":[58,82],"structure":[59],"information,":[60],"while":[61],"texture":[63,98,131,138],"includes":[65],"locally":[67],"patterned":[68],"information.":[69],"This":[70],"enables":[71],"that":[72,133,154,224],"fused":[74,157],"MS":[77,103,158,164],"can":[79],"preserve":[80],"local":[84],"details":[86],"(e.g.,":[87],"high-order":[88],"information)":[89],"well":[90],"after":[91],"leveraging":[92],"similarities":[94],"components":[99],"from":[100],"images.":[104],"To":[105],"explore":[106],"such":[107],"similarities,":[109],"describe":[111],"similarity":[113,132],"as":[114,118,136,170],"gradient":[115],"sparsity,":[116],"formulated":[117],"reweighted":[120],"total":[121],"variation":[122],"term.":[123],"Meanwhile,":[124],"use":[126],"group":[127],"low-rank":[128],"constraint":[129],"for":[130,146],"is":[134,160],"presented":[135],"repetitive":[137],"patterns.":[139],"By":[140],"incorporating":[141],"data":[143,194],"fidelity":[144],"term":[145],"preserving":[147],"information":[150],"on":[151,189],"basis":[153],"down-sampled":[156],"consistent":[161],"further":[167],"formulate":[168],"optimization":[172],"problem":[173],"solve":[175],"it":[176],"efficiently":[177],"using":[178],"alternative":[180],"direction":[181],"multiplier":[182],"method.":[183],"Extensive":[184],"experiments":[185],"have":[186],"been":[187],"conducted":[188],"series":[191],"satellite":[193],"sets,":[195],"also":[198],"carry":[199],"out":[200],"simulated":[202],"vegetation":[203],"coverage":[204],"change":[205],"experiment":[206],"verify":[208],"efficiency":[210],"proposed":[213],"in":[215,232],"remote":[216],"sensing.":[217],"The":[218],"qualitative":[219],"quantitative":[221],"results":[222],"demonstrate":[223],"our":[225],"outperforms":[227],"state-of-the-art":[229],"methods":[231],"terms":[233],"visual":[236],"effect":[237],"objective":[239],"metrics.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":17}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}