{"id":"https://openalex.org/W4385452953","doi":"https://doi.org/10.1109/tgrs.2023.3299356","title":"Unsupervised Deep Learning-Based Pansharpening With Jointly Enhanced Spectral and Spatial Fidelity","display_name":"Unsupervised Deep Learning-Based Pansharpening With Jointly Enhanced Spectral and Spatial Fidelity","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385452953","doi":"https://doi.org/10.1109/tgrs.2023.3299356"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3299356","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3299356","pdf_url":"https://ieeexplore.ieee.org/ielx7/36/4358825/10198408.pdf","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":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/36/4358825/10198408.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091309552","display_name":"Matteo Ciotola","orcid":"https://orcid.org/0000-0001-6577-6879"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Matteo Ciotola","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081981044","display_name":"Giovanni Poggi","orcid":"https://orcid.org/0000-0003-1327-4812"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Poggi","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034757970","display_name":"Giuseppe Scarpa","orcid":"https://orcid.org/0000-0001-6458-9107"},"institutions":[{"id":"https://openalex.org/I183638586","display_name":"Parthenope University of Naples","ror":"https://ror.org/05pcv4v03","country_code":"IT","type":"education","lineage":["https://openalex.org/I183638586"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Scarpa","raw_affiliation_strings":["Department of Engineering, Parthenope University of Naples, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, Parthenope University of Naples, Naples, Italy","institution_ids":["https://openalex.org/I183638586"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091309552"],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":6.8246,"has_fulltext":true,"cited_by_count":42,"citation_normalized_percentile":{"value":0.97349883,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"17"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9973000288009644,"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":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.8519890308380127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.713317334651947},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6650925874710083},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5585517883300781},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5403807759284973},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5344181656837463},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5012786388397217},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.46124663949012756},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4461204707622528},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.42729800939559937},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3317672610282898}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8519890308380127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.713317334651947},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6650925874710083},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5585517883300781},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5403807759284973},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5344181656837463},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5012786388397217},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.46124663949012756},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4461204707622528},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.42729800939559937},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3317672610282898},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2023.3299356","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3299356","pdf_url":"https://ieeexplore.ieee.org/ielx7/36/4358825/10198408.pdf","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:ricerca.uniparthenope.it:11367/127097","is_oa":false,"landing_page_url":"https://hdl.handle.net/11367/127097","pdf_url":null,"source":{"id":"https://openalex.org/S4377196432","display_name":"CINECA IRIS Institutial research information system (Parthenope University of Naples)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183638586","host_organization_name":"Parthenope University of Naples","host_organization_lineage":["https://openalex.org/I183638586"],"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":{"id":"doi:10.1109/tgrs.2023.3299356","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3299356","pdf_url":"https://ieeexplore.ieee.org/ielx7/36/4358825/10198408.pdf","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"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385452953.pdf","grobid_xml":"https://content.openalex.org/works/W4385452953.grobid-xml"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W1247035941","https://openalex.org/W1943127271","https://openalex.org/W2022075948","https://openalex.org/W2054440797","https://openalex.org/W2064366277","https://openalex.org/W2106891293","https://openalex.org/W2109526535","https://openalex.org/W2113338111","https://openalex.org/W2120053475","https://openalex.org/W2123046940","https://openalex.org/W2124743705","https://openalex.org/W2133665775","https://openalex.org/W2139529730","https://openalex.org/W2142843085","https://openalex.org/W2149720806","https://openalex.org/W2150630348","https://openalex.org/W2152254169","https://openalex.org/W2158027388","https://openalex.org/W2159269332","https://openalex.org/W2163677711","https://openalex.org/W2165651437","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2172185514","https://openalex.org/W2194775991","https://openalex.org/W2302265399","https://openalex.org/W2339428543","https://openalex.org/W2462592242","https://openalex.org/W2560449954","https://openalex.org/W2612425037","https://openalex.org/W2616590213","https://openalex.org/W2619662254","https://openalex.org/W2700882095","https://openalex.org/W2717881181","https://openalex.org/W2737219040","https://openalex.org/W2754256031","https://openalex.org/W2765749804","https://openalex.org/W2766278341","https://openalex.org/W2777033955","https://openalex.org/W2792142731","https://openalex.org/W2792365373","https://openalex.org/W2884585870","https://openalex.org/W2899663614","https://openalex.org/W2900711731","https://openalex.org/W2900929188","https://openalex.org/W2921660688","https://openalex.org/W2935896423","https://openalex.org/W2963007295","https://openalex.org/W2963183385","https://openalex.org/W2963695810","https://openalex.org/W2965814782","https://openalex.org/W2982083293","https://openalex.org/W3023991509","https://openalex.org/W3041178351","https://openalex.org/W3096480538","https://openalex.org/W3096904276","https://openalex.org/W3097824737","https://openalex.org/W3098542449","https://openalex.org/W3107490592","https://openalex.org/W3163345093","https://openalex.org/W3168631257","https://openalex.org/W3168690312","https://openalex.org/W3175432749","https://openalex.org/W3194146876","https://openalex.org/W3213530674","https://openalex.org/W4226087339","https://openalex.org/W4226507018","https://openalex.org/W4288391574","https://openalex.org/W4313506677","https://openalex.org/W4323644305","https://openalex.org/W4360995327","https://openalex.org/W6628238970","https://openalex.org/W6684197827","https://openalex.org/W6697828997","https://openalex.org/W6753412334","https://openalex.org/W6755977528"],"related_works":["https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W3125091513","https://openalex.org/W4318832338","https://openalex.org/W2047973478","https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W4248383205","https://openalex.org/W1919390113","https://openalex.org/W2067569035"],"abstract_inverted_index":{"In":[0,75,151],"latest":[1],"years,":[2],"deep":[3,24,99],"learning":[4],"has":[5],"gained":[6],"a":[7,32,82,97,135,155,168],"leading":[8],"role":[9],"in":[10,31,61,175,192],"the":[11,17,62,66,106,125,131,142,148,180,186,189],"pansharpening":[12,101],"of":[13,19,68,108,127,147,171,188,194],"multiresolution":[14],"images.":[15,48,165],"Given":[16],"lack":[18],"ground":[20],"truth":[21],"data,":[22],"most":[23],"learning-based":[25,100],"methods":[26],"carry":[27],"out":[28],"supervised":[29],"training":[30,60,73,84],"reduced-resolution":[33],"domain.":[34],"However,":[35],"models":[36],"trained":[37],"on":[38,45,167],"downsized":[39],"images":[40],"tend":[41],"to":[42,58,90,120,154,163],"perform":[43],"poorly":[44],"high-resolution":[46],"target":[47,164],"For":[49],"this":[50,76,109],"reason,":[51],"several":[52],"research":[53],"groups":[54],"are":[55],"now":[56],"turning":[57],"unsupervised":[59],"full-resolution":[63,83],"domain,":[64],"through":[65],"definition":[67],"appropriate":[69],"loss":[70,137],"functions":[71],"and":[72,111,144,197],"paradigms.":[74],"context,":[77],"we":[78,95],"have":[79],"recently":[80],"proposed":[81,132,181],"framework":[85],"which":[86],"can":[87],"be":[88],"applied":[89],"many":[91],"existing":[92],"architectures.":[93],"Here,":[94],"propose":[96],"new":[98,156],"model":[102,133],"that":[103,139,179],"fully":[104],"exploits":[105],"potential":[107],"approach":[110],"provides":[112],"cutting-edge":[113],"performance.":[114],"Besides":[115],"architectural":[116],"improvements":[117],"with":[118,185],"respect":[119],"previous":[121],"work,":[122],"such":[123],"as":[124],"use":[126],"residual":[128],"attention":[129],"modules,":[130],"features":[134],"novel":[136],"function":[138],"jointly":[140],"promotes":[141],"spectral":[143],"spatial":[145],"quality":[146],"pansharpened":[149],"data.":[150],"addition,":[152],"thanks":[153],"fine-tuning":[157],"strategy,":[158],"it":[159],"improves":[160],"inference-time":[161],"adaptation":[162],"Experiments":[166],"large":[169],"variety":[170],"test":[172],"images,":[173],"performed":[174],"challenging":[176],"scenarios,":[177],"demonstrate":[178],"method":[182],"compares":[183],"favorably":[184],"state":[187],"art":[190],"both":[191],"terms":[193],"numerical":[195],"results":[196],"visual":[198],"output.":[199],"Code":[200],"is":[201],"available":[202],"online":[203],"at":[204],"https://github.com/matciotola/Lambda-PNN.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}