{"id":"https://openalex.org/W2121652279","doi":"https://doi.org/10.1109/lgrs.2008.2012003","title":"A Comparison Between Global and Context-Adaptive Pansharpening of Multispectral Images","display_name":"A Comparison Between Global and Context-Adaptive Pansharpening of Multispectral Images","publication_year":2009,"publication_date":"2009-02-13","ids":{"openalex":"https://openalex.org/W2121652279","doi":"https://doi.org/10.1109/lgrs.2008.2012003","mag":"2121652279"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2008.2012003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2008.2012003","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5035398406","display_name":"Bruno Aiazzi","orcid":"https://orcid.org/0000-0003-3933-2320"},"institutions":[{"id":"https://openalex.org/I4210092323","display_name":"Nello Carrara Institute of Applied Physics","ror":"https://ror.org/00dqega85","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210092323","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"B. Aiazzi","raw_affiliation_strings":["Istituto di Fisica Applicata Nello Carrara, Consiglio Nationale delle Ricerche, Sesto Fiorentino, Italy","Ist. di Fis. Applicata Nello Carrara, Consiglio Naz. delle Ric. Area della Ricerca di Firenze, Sesto Fiorentino"],"affiliations":[{"raw_affiliation_string":"Istituto di Fisica Applicata Nello Carrara, Consiglio Nationale delle Ricerche, Sesto Fiorentino, Italy","institution_ids":["https://openalex.org/I4210092323"]},{"raw_affiliation_string":"Ist. di Fis. Applicata Nello Carrara, Consiglio Naz. delle Ric. Area della Ricerca di Firenze, Sesto Fiorentino","institution_ids":["https://openalex.org/I4210092323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061007254","display_name":"Stefano Baronti","orcid":"https://orcid.org/0000-0003-0492-0886"},"institutions":[{"id":"https://openalex.org/I4210092323","display_name":"Nello Carrara Institute of Applied Physics","ror":"https://ror.org/00dqega85","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210092323","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"S. Baronti","raw_affiliation_strings":["Istituto di Fisica Applicata Nello Carrara, Consiglio Nationale delle Ricerche, Sesto Fiorentino, Italy","Ist. di Fis. Applicata Nello Carrara, Consiglio Naz. delle Ric. Area della Ricerca di Firenze, Sesto Fiorentino"],"affiliations":[{"raw_affiliation_string":"Istituto di Fisica Applicata Nello Carrara, Consiglio Nationale delle Ricerche, Sesto Fiorentino, Italy","institution_ids":["https://openalex.org/I4210092323"]},{"raw_affiliation_string":"Ist. di Fis. Applicata Nello Carrara, Consiglio Naz. delle Ric. Area della Ricerca di Firenze, Sesto Fiorentino","institution_ids":["https://openalex.org/I4210092323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059647510","display_name":"F. Lotti","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092323","display_name":"Nello Carrara Institute of Applied Physics","ror":"https://ror.org/00dqega85","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210092323","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"F. Lotti","raw_affiliation_strings":["Istituto di Fisica Applicata Nello Carrara, Consiglio Nationale delle Ricerche, Sesto Fiorentino, Italy","Ist. di Fis. Applicata Nello Carrara, Consiglio Naz. delle Ric. Area della Ricerca di Firenze, Sesto Fiorentino"],"affiliations":[{"raw_affiliation_string":"Istituto di Fisica Applicata Nello Carrara, Consiglio Nationale delle Ricerche, Sesto Fiorentino, Italy","institution_ids":["https://openalex.org/I4210092323"]},{"raw_affiliation_string":"Ist. di Fis. Applicata Nello Carrara, Consiglio Naz. delle Ric. Area della Ricerca di Firenze, Sesto Fiorentino","institution_ids":["https://openalex.org/I4210092323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064642130","display_name":"Massimo Selva","orcid":"https://orcid.org/0000-0003-3202-5029"},"institutions":[{"id":"https://openalex.org/I4210092323","display_name":"Nello Carrara Institute of Applied Physics","ror":"https://ror.org/00dqega85","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210092323","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M. Selva","raw_affiliation_strings":["Istituto di Fisica Applicata Nello Carrara, Consiglio Nationale delle Ricerche, Sesto Fiorentino, Italy","Ist. di Fis. Applicata Nello Carrara, Consiglio Naz. delle Ric. Area della Ricerca di Firenze, Sesto Fiorentino"],"affiliations":[{"raw_affiliation_string":"Istituto di Fisica Applicata Nello Carrara, Consiglio Nationale delle Ricerche, Sesto Fiorentino, Italy","institution_ids":["https://openalex.org/I4210092323"]},{"raw_affiliation_string":"Ist. di Fis. Applicata Nello Carrara, Consiglio Naz. delle Ric. Area della Ricerca di Firenze, Sesto Fiorentino","institution_ids":["https://openalex.org/I4210092323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035398406"],"corresponding_institution_ids":["https://openalex.org/I4210092323"],"apc_list":null,"apc_paid":null,"fwci":11.7894,"has_fulltext":false,"cited_by_count":186,"citation_normalized_percentile":{"value":0.98546843,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"6","issue":"2","first_page":"302","last_page":"306"},"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":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.9552965760231018},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.8971238136291504},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7135499119758606},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7042626142501831},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.556681752204895},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5412213206291199},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5195662975311279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5023243427276611},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4782670736312866},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4495406150817871},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4457361698150635},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4431711435317993},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28858810663223267},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07024142146110535}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.9552965760231018},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8971238136291504},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7135499119758606},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7042626142501831},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.556681752204895},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5412213206291199},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5195662975311279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5023243427276611},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4782670736312866},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4495406150817871},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4457361698150635},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4431711435317993},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28858810663223267},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07024142146110535},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2008.2012003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2008.2012003","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321519","display_name":"Centre National d\u2019Etudes Spatiales","ror":"https://ror.org/04h1h0y33"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1481646516","https://openalex.org/W1522046140","https://openalex.org/W1541093644","https://openalex.org/W1654063000","https://openalex.org/W2025753535","https://openalex.org/W2084598692","https://openalex.org/W2088538848","https://openalex.org/W2100329651","https://openalex.org/W2103502342","https://openalex.org/W2106891293","https://openalex.org/W2123046940","https://openalex.org/W2124743705","https://openalex.org/W2136401825","https://openalex.org/W2139529730","https://openalex.org/W2152254169","https://openalex.org/W2158537567","https://openalex.org/W2159269332","https://openalex.org/W2163334907","https://openalex.org/W2165651437","https://openalex.org/W2171108951","https://openalex.org/W2171845746","https://openalex.org/W6631230401","https://openalex.org/W6684197827","https://openalex.org/W6685078114"],"related_works":["https://openalex.org/W3192816080","https://openalex.org/W2375230202","https://openalex.org/W1977912381","https://openalex.org/W2156969988","https://openalex.org/W1571316472","https://openalex.org/W2014823937","https://openalex.org/W1533322838","https://openalex.org/W2120878985","https://openalex.org/W2119077559","https://openalex.org/W2102898441"],"abstract_inverted_index":{"<para":[0],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[1],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[2],"Multiresolution":[3],"analysis":[4],"(MRA)":[5],"and":[6,27,36,68,78,136,143,159,167],"component":[7],"substitution":[8],"(CS)":[9],"are":[10,122,146,175],"the":[11,42,47,50,64,73,103],"two":[12,154],"basic":[13],"frameworks":[14],"to":[15],"which":[16,133],"image":[17],"fusion":[18,76],"algorithms":[19,40],"can":[20,139],"be":[21,140],"reported":[22,147],"when":[23],"merging":[24],"multispectral":[25],"(MS)":[26],"panchromatic":[28],"(Pan)":[29],"images":[30],"(pansharpening),":[31],"acquired":[32],"with":[33,87,124],"different":[34,56,155],"spatial":[35,43],"spectral":[37,92],"resolutions.":[38],"State-of-the-art":[39],"add":[41],"details":[44],"extracted":[45],"from":[46,153],"Pan":[48,69],"into":[49],"MS":[51,67],"data":[52,151],"set":[53],"by":[54,127],"considering":[55,128],"injection":[57,97],"strategies.":[58],"The":[59,162],"capability":[60],"of":[61,75,84,91,165],"efficiently":[62],"modeling":[63],"relationships":[65],"between":[66],"is":[70],"crucial":[71],"for":[72,80,148],"quality":[74,169],"results":[77,145],"particularly":[79],"a":[81,88,129],"correct":[82],"recovery":[83],"local":[85],"features":[86],"consequent":[89],"reduction":[90],"distortions.":[93],"Although":[94],"context-adaptive":[95],"(CA)":[96],"models":[98,126,174],"have":[99],"been":[100,112],"proposed":[101],"in":[102,108,132],"MRA":[104],"framework,":[105],"their":[106],"adoption":[107],"CS":[109],"schemes":[110,138],"has":[111],"scarcely":[113],"investigated":[114],"so":[115],"far.":[116],"In":[117],"this":[118],"letter,":[119],"CA":[120,173],"strategies":[121],"compared":[123],"global":[125,179],"general":[130],"protocol":[131],"both":[134],"MRA-":[135],"CS-based":[137],"described.":[141],"Qualitative":[142],"quantitative":[144],"three":[149],"high-resolution":[150],"sets":[152],"sensors,":[156],"namely,":[157],"IKONOS":[158],"simulated":[160],"Pl\u00c9iades.":[161],"score":[163],"gains":[164],"well-known":[166],"novel":[168],"figures":[170],"show":[171],"that":[172],"more":[176],"efficient":[177],"than":[178],"ones.":[180],"</para>":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":23},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
