{"id":"https://openalex.org/W2893344582","doi":"https://doi.org/10.1109/tgrs.2018.2867284","title":"A Novel Sharpening Approach for Superresolving Multiresolution Optical Images","display_name":"A Novel Sharpening Approach for Superresolving Multiresolution Optical Images","publication_year":2018,"publication_date":"2018-09-26","ids":{"openalex":"https://openalex.org/W2893344582","doi":"https://doi.org/10.1109/tgrs.2018.2867284","mag":"2893344582"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2867284","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2867284","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/A5008344573","display_name":"Claudia Paris","orcid":"https://orcid.org/0000-0002-7189-6268"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Claudia Paris","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"raw_orcid":"https://orcid.org/0000-0002-7189-6268","affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017508063","display_name":"Jos\u00e9 M. Bioucas\u2010Dias","orcid":"https://orcid.org/0000-0002-0166-5149"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Jose Bioucas-Dias","raw_affiliation_strings":["Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-0166-5149","affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I141596103","https://openalex.org/I4210120471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006095323","display_name":"Lorenzo Bruzzone","orcid":"https://orcid.org/0000-0002-6036-459X"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Bruzzone","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"raw_orcid":"https://orcid.org/0000-0002-6036-459X","affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":2.6957,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.90860489,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"57","issue":"3","first_page":"1545","last_page":"1560"},"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":0.9997000098228455,"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":0.9993000030517578,"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":0.7502166032791138},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.7252054214477539},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6329267024993896},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5648639798164368},{"id":"https://openalex.org/keywords/multiresolution-analysis","display_name":"Multiresolution analysis","score":0.531683623790741},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.5103570818901062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4928591251373291},{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.43767374753952026},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4231346547603607},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4122484624385834},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3781226873397827},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3698672652244568},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2589409649372101},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.2560822367668152},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.18203002214431763}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7502166032791138},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.7252054214477539},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6329267024993896},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5648639798164368},{"id":"https://openalex.org/C121927907","wikidata":"https://www.wikidata.org/wiki/Q1952516","display_name":"Multiresolution analysis","level":5,"score":0.531683623790741},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5103570818901062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4928591251373291},{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.43767374753952026},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4231346547603607},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4122484624385834},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3781226873397827},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3698672652244568},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2589409649372101},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.2560822367668152},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.18203002214431763},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2018.2867284","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2867284","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"},{"id":"pmh:oai:iris.unitn.it:11572/218212","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8472286","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W817971873","https://openalex.org/W1495168473","https://openalex.org/W1553305639","https://openalex.org/W1653130573","https://openalex.org/W1654063000","https://openalex.org/W1953936588","https://openalex.org/W1974745581","https://openalex.org/W1976417060","https://openalex.org/W1977273448","https://openalex.org/W1988952689","https://openalex.org/W1997238646","https://openalex.org/W2006262045","https://openalex.org/W2010265430","https://openalex.org/W2017121865","https://openalex.org/W2021046129","https://openalex.org/W2022470997","https://openalex.org/W2030463878","https://openalex.org/W2044810215","https://openalex.org/W2045737896","https://openalex.org/W2047710600","https://openalex.org/W2054440797","https://openalex.org/W2064366277","https://openalex.org/W2080899692","https://openalex.org/W2087416986","https://openalex.org/W2097130407","https://openalex.org/W2100705753","https://openalex.org/W2103504761","https://openalex.org/W2111896212","https://openalex.org/W2114113295","https://openalex.org/W2117853853","https://openalex.org/W2123031198","https://openalex.org/W2124743705","https://openalex.org/W2125082925","https://openalex.org/W2126744313","https://openalex.org/W2134342741","https://openalex.org/W2144436897","https://openalex.org/W2159269332","https://openalex.org/W2164278908","https://openalex.org/W2167711599","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2171627515","https://openalex.org/W2202027014","https://openalex.org/W2302265399","https://openalex.org/W2323104748","https://openalex.org/W2394774286","https://openalex.org/W2469209908","https://openalex.org/W2536760076","https://openalex.org/W2610945978","https://openalex.org/W2737544618","https://openalex.org/W2781708546","https://openalex.org/W2962723135","https://openalex.org/W3006106690","https://openalex.org/W3102912004","https://openalex.org/W3104960002","https://openalex.org/W3106359998","https://openalex.org/W3123837026","https://openalex.org/W4251721200","https://openalex.org/W4292363360","https://openalex.org/W4301109526","https://openalex.org/W6623043969","https://openalex.org/W6633088995","https://openalex.org/W6697828997"],"related_works":["https://openalex.org/W1930929277","https://openalex.org/W4254327447","https://openalex.org/W2158394102","https://openalex.org/W2361746014","https://openalex.org/W1502637513","https://openalex.org/W2033186943","https://openalex.org/W2124952510","https://openalex.org/W2375311607","https://openalex.org/W2816335205","https://openalex.org/W2726689079"],"abstract_inverted_index":{"This":[0],"paper":[1],"aims":[2],"to":[3,43,170,186],"provide":[4],"a":[5,62,76,132,202],"compact":[6],"superresolution":[7,50],"formulation":[8],"specific":[9,172],"for":[10],"multispectral":[11],"(MS)":[12,175],"multiresolution":[13,30,176],"optical":[14],"data,":[15,102],"i.e.,":[16],"images":[17,177],"characterized":[18],"by":[19,84,89,135],"different":[20,23,73],"scales":[21],"across":[22],"spectral":[24],"bands.":[25,92],"The":[26,49,119,154,211],"proposed":[27,159,231],"method,":[28],"named":[29],"sharpening":[31],"approach":[32],"(MuSA),":[33],"relies":[34],"on":[35,214],"the":[36,44,55,67,72,85,90,95,100,103,106,137,140,145,148,158,163,171,180,183,188,192,208,215,227,230],"solution":[37],"of":[38,46,57,71,99,105,147,152,157,165,174,182,204,226,229],"an":[39,58,166,224],"optimization":[40],"problem":[41,51,108],"tailored":[42,169],"properties":[45,173],"those":[47],"images.":[48],"is":[52,111,129,142],"formulated":[53],"as":[54,131],"minimization":[56],"objective":[59],"function":[60],"containing":[61],"data-fitting":[63],"term":[64],"that":[65,79],"models":[66],"blurs":[68],"and":[69,75,123,178,195,217],"downsamplings":[70],"bands":[74,185],"patch-based":[77,133],"regularizer":[78,134],"promotes":[80],"image":[81,127],"self-similarity":[82],"guided":[83],"geometric":[86],"details":[87],"provided":[88],"high-resolution":[91,209],"By":[93],"exploiting":[94],"approximately":[96],"low-rank":[97],"property":[98],"MS":[101],"ill-posedness":[104],"inverse":[107],"in":[109,191],"hand":[110],"strongly":[112],"reduced,":[113],"thus":[114],"sharply":[115],"improving":[116],"its":[117],"conditioning.":[118],"state-of-the-art":[120],"color":[121,193],"block-matching":[122,194],"3D":[124,196],"filtering":[125,197],"(C-BM3D)":[126,198],"denoiser":[128,141],"used":[130],"leveraging":[136],"\u201cplug-and-play\u201d":[138],"framework:":[139],"plugged":[143],"into":[144],"iterations":[146],"alternating":[149],"direction":[150],"method":[151,160],"multipliers.":[153],"main":[155],"novelties":[156],"are:":[161],"1)":[162],"introduction":[164],"observation":[167],"model":[168],"2)":[179],"exploitation":[181],"high-spatial-resolution":[184],"guide":[187],"grouping":[189],"step":[190],"denoiser,":[199],"which":[200],"constitutes":[201],"form":[203],"regularization":[205],"learned":[206],"from":[207],"channels.":[210],"results":[212],"obtained":[213],"real":[216],"synthetic":[218],"Sentinel":[219],"2":[220],"data":[221],"sets":[222],"give":[223],"evidence":[225],"effectiveness":[228],"approach.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}