{"id":"https://openalex.org/W4387831726","doi":"https://doi.org/10.1109/lgrs.2023.3326204","title":"PCA-CNN Hybrid Approach for Hyperspectral Pansharpening","display_name":"PCA-CNN Hybrid Approach for Hyperspectral Pansharpening","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387831726","doi":"https://doi.org/10.1109/lgrs.2023.3326204"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3326204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3326204","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/A5103248338","display_name":"Giuseppe Guarino","orcid":"https://orcid.org/0009-0004-7186-4110"},"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":"Giuseppe Guarino","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/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":false,"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/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"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gemine Vivone","raw_affiliation_strings":["National Research Council–Institute of Methodologies for Environmental Analysis (CNR-IMAA), Tito, Italy","National Biodiversity Future Center (NBFC), Palermo, Italy"],"affiliations":[{"raw_affiliation_string":"National Research Council–Institute of Methodologies for Environmental Analysis (CNR-IMAA), Tito, Italy","institution_ids":["https://openalex.org/I4210115556","https://openalex.org/I4210155236"]},{"raw_affiliation_string":"National Biodiversity Future Center (NBFC), Palermo, Italy","institution_ids":[]}]},{"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":5,"corresponding_author_ids":["https://openalex.org/A5103248338"],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":4.2932,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.94912067,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"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":0.9991999864578247,"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":0.9980000257492065,"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":0.9405921101570129},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9357801675796509},{"id":"https://openalex.org/keywords/decorrelation","display_name":"Decorrelation","score":0.8579354286193848},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.806060254573822},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7588828206062317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7025105357170105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6999264359474182},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6467493772506714},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6124210357666016},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.548317551612854},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.45963627099990845},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3908815383911133},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3753099739551544}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.9405921101570129},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9357801675796509},{"id":"https://openalex.org/C177860922","wikidata":"https://www.wikidata.org/wiki/Q788608","display_name":"Decorrelation","level":2,"score":0.8579354286193848},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.806060254573822},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7588828206062317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7025105357170105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6999264359474182},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6467493772506714},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6124210357666016},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.548317551612854},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.45963627099990845},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3908815383911133},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3753099739551544},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lgrs.2023.3326204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3326204","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"},{"id":"pmh:oai:ricerca.uniparthenope.it:11367/127099","is_oa":false,"landing_page_url":"https://hdl.handle.net/11367/127099","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":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.550000011920929},{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1247035941","https://openalex.org/W1990231296","https://openalex.org/W2021046129","https://openalex.org/W2124743705","https://openalex.org/W2139582718","https://openalex.org/W2142843085","https://openalex.org/W2159269332","https://openalex.org/W2163886442","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2339428543","https://openalex.org/W2462592242","https://openalex.org/W2528170672","https://openalex.org/W2592312604","https://openalex.org/W2754256031","https://openalex.org/W2948669395","https://openalex.org/W2963442801","https://openalex.org/W3019893222","https://openalex.org/W3041178351","https://openalex.org/W3087959468","https://openalex.org/W3097824737","https://openalex.org/W3098542449","https://openalex.org/W3102912004","https://openalex.org/W3131451942","https://openalex.org/W3181737610","https://openalex.org/W3194146876","https://openalex.org/W3202568050","https://openalex.org/W3213530674","https://openalex.org/W3216217554","https://openalex.org/W3217526930","https://openalex.org/W4205886585","https://openalex.org/W4210492871","https://openalex.org/W4226048653","https://openalex.org/W4226507018","https://openalex.org/W4285031532","https://openalex.org/W4288391574","https://openalex.org/W4311080500","https://openalex.org/W4385452953","https://openalex.org/W6623043969","https://openalex.org/W6628238970"],"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/W2018850895","https://openalex.org/W2950729865","https://openalex.org/W2008401355"],"abstract_inverted_index":{"This":[0,37],"work":[1],"proposes":[2],"a":[3,26,32,43,57,66,70],"simple":[4],"yet":[5],"effective":[6],"method":[7],"to":[8,16,82],"adapt":[9],"unsupervised":[10],"convolutional":[11],"neural":[12],"networks":[13],"from":[14],"multispectral":[15],"hyperspectral":[17,34,62],"pansharpening.":[18],"Thus,":[19],"it":[20],"focuses":[21],"on":[22],"the":[23,47,54,61,85],"fusion":[24],"of":[25,42,56,60],"single":[27],"high-resolution":[28],"panchromatic":[29],"band":[30],"with":[31],"low-resolution":[33],"data":[35],"cube.":[36],"is":[38,80],"achieved":[39],"by":[40],"means":[41],"decorrelation":[44],"transform,":[45],"following":[46],"principal":[48,86],"component":[49],"analysis":[50],"approach,":[51],"which":[52],"enables":[53],"compression":[55],"significant":[58],"portion":[59],"image":[63],"energy":[64],"into":[65],"few":[67],"bands.":[68],"Afterwards,":[69],"suitably":[71],"adapted":[72],"pansharpening":[73],"network":[74],"designed":[75],"for":[76],"four":[77],"spectral":[78],"bands":[79],"used":[81],"super-resolve":[83],"only":[84],"components.":[87],"Experiments":[88],"demonstrate":[89],"high":[90],"performance":[91],"in":[92],"both":[93],"quantitative":[94],"and":[95],"qualitative":[96],"evaluations,":[97],"favorably":[98],"comparing":[99],"against":[100],"state-of-the-art":[101],"methods.":[102]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":12}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}