{"id":"https://openalex.org/W4362714787","doi":"https://doi.org/10.1109/tgrs.2023.3265404","title":"A Novel Spatial Fidelity With Learnable Nonlinear Mapping for Panchromatic Sharpening","display_name":"A Novel Spatial Fidelity With Learnable Nonlinear Mapping for Panchromatic Sharpening","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4362714787","doi":"https://doi.org/10.1109/tgrs.2023.3265404"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3265404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3265404","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/A5020848795","display_name":"Rui Wen","orcid":"https://orcid.org/0000-0003-2644-7452"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Wen","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Sichuan, Chengdu, China","School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Sichuan, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088224232","display_name":"Liang-Jian Deng","orcid":"https://orcid.org/0000-0003-3178-9772"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang-Jian Deng","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Sichuan, Chengdu, China","School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0003-3178-9772","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Sichuan, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050251254","display_name":"Zhong-Cheng Wu","orcid":"https://orcid.org/0000-0001-6652-8607"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong-Cheng Wu","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Sichuan, Chengdu, China","School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0001-6652-8607","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Sichuan, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078529087","display_name":"Xiao Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Wu","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Sichuan, Chengdu, China","School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Sichuan, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","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"]},{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gemine Vivone","raw_affiliation_strings":["Institute of Methodologies for Environmental Analysis, National Research Council&#x2014;Institute of Methodologies for Environmental Analysis (CNR-IMAA), Tito, Italy","NBFC, National Biodiversity Future Center, Palermo, Italy"],"raw_orcid":"https://orcid.org/0000-0001-9542-0638","affiliations":[{"raw_affiliation_string":"Institute of Methodologies for Environmental Analysis, National Research Council&#x2014;Institute of Methodologies for Environmental Analysis (CNR-IMAA), Tito, Italy","institution_ids":["https://openalex.org/I4210115556","https://openalex.org/I4210155236"]},{"raw_affiliation_string":"NBFC, National Biodiversity Future Center, Palermo, Italy","institution_ids":["https://openalex.org/I900890020"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.3199,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.96116341,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"15"},"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":0.992900013923645,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9909999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.8447135090827942},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.7729123830795288},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6806463003158569},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6760488748550415},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5313924551010132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5101656913757324},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4482642412185669},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.41202202439308167},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4110930860042572},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3734356760978699},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3296390771865845}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.8447135090827942},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.7729123830795288},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6806463003158569},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6760488748550415},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5313924551010132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5101656913757324},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4482642412185669},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.41202202439308167},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4110930860042572},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3734356760978699},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3296390771865845},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2023.3265404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3265404","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:it.cnr:prodotti:486618","is_oa":false,"landing_page_url":"http://www.cnr.it/prodotto/i/486618","pdf_url":null,"source":{"id":"https://openalex.org/S7407055101","display_name":"CNR ExploRA","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"info:cnr-pdr/source/autori:Wen, Rui; Deng, Liang-Jian; Wu, Zhong-Cheng; Wu, Xiao; Vivone, Gemine/titolo:A Novel Spatial Fidelity With Learnable Nonlinear Mapping for Panchromatic Sharpening/doi:10.1109%2FTGRS.2023.3265404/rivista:IEEE transactions on geoscience and remote sensing/anno:2023/pagina_da:Art.n.5401915-1/pagina_a:Art.n.5401915-15/intervallo_pagine:Art.n.5401915-1\u2013Art.n.5401915-15/volume:61","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1160855140","display_name":null,"funder_award_id":"2022NSFSC0501","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"},{"id":"https://openalex.org/G1628077028","display_name":null,"funder_award_id":"2020YFA0714001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2129173210","display_name":null,"funder_award_id":"12271083","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3778334585","display_name":null,"funder_award_id":"12171072","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4984401012","display_name":null,"funder_award_id":"2020YJ0216","funder_id":"https://openalex.org/F4320333337","funder_display_name":"Applied Basic Research Program of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null},{"id":"https://openalex.org/F4320333337","display_name":"Applied Basic Research Program of Sichuan Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W817971873","https://openalex.org/W1247035941","https://openalex.org/W1943127271","https://openalex.org/W1980110630","https://openalex.org/W1992054832","https://openalex.org/W2036825992","https://openalex.org/W2100329651","https://openalex.org/W2100556411","https://openalex.org/W2103504761","https://openalex.org/W2112693869","https://openalex.org/W2123046940","https://openalex.org/W2133665775","https://openalex.org/W2139529730","https://openalex.org/W2142843085","https://openalex.org/W2163334907","https://openalex.org/W2163677711","https://openalex.org/W2171211028","https://openalex.org/W2172185514","https://openalex.org/W2339428543","https://openalex.org/W2462592242","https://openalex.org/W2754256031","https://openalex.org/W2766278341","https://openalex.org/W2792142731","https://openalex.org/W2803614623","https://openalex.org/W2806865914","https://openalex.org/W2811502169","https://openalex.org/W2899701176","https://openalex.org/W2921693842","https://openalex.org/W2935896423","https://openalex.org/W2947324203","https://openalex.org/W2948437909","https://openalex.org/W2953478519","https://openalex.org/W3004925702","https://openalex.org/W3009431086","https://openalex.org/W3009455122","https://openalex.org/W3014967571","https://openalex.org/W3016297315","https://openalex.org/W3016410830","https://openalex.org/W3029812440","https://openalex.org/W3047443805","https://openalex.org/W3048631361","https://openalex.org/W3095155556","https://openalex.org/W3096904276","https://openalex.org/W3097824737","https://openalex.org/W3098542449","https://openalex.org/W3102692100","https://openalex.org/W3103695279","https://openalex.org/W3115223653","https://openalex.org/W3150135133","https://openalex.org/W3154593456","https://openalex.org/W3168631257","https://openalex.org/W3203100902","https://openalex.org/W4200634427","https://openalex.org/W4213414598","https://openalex.org/W4250562392","https://openalex.org/W4285119709","https://openalex.org/W4288064619","https://openalex.org/W4290043190","https://openalex.org/W4292363360","https://openalex.org/W4293428587","https://openalex.org/W4293704609","https://openalex.org/W4294663621","https://openalex.org/W4304481541","https://openalex.org/W4312626766","https://openalex.org/W4312774460","https://openalex.org/W4317761513","https://openalex.org/W4318766072","https://openalex.org/W4318953520","https://openalex.org/W4319865963","https://openalex.org/W4320713392","https://openalex.org/W4321021932","https://openalex.org/W4322706739","https://openalex.org/W4322731204","https://openalex.org/W6623043969","https://openalex.org/W6628238970"],"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/W2124952510","https://openalex.org/W2375311607","https://openalex.org/W2816335205","https://openalex.org/W2033186943","https://openalex.org/W2726689079"],"abstract_inverted_index":{"The":[0,231],"purpose":[1],"of":[2,42,56,95,146,195,226],"panchromatic":[3,22],"sharpening,":[4],"i.e.,":[5],"pansharpening,":[6,166],"is":[7,169,233],"to":[8,26],"fuse":[9],"a":[10,18,28,43,47,52,102,119,151,156],"low":[11],"spatial":[12,20,30,48,104,148,162],"resolution":[13,21,31],"multispectral":[14,32],"(LRMS)":[15],"image":[16,64,69],"with":[17,107,155,199],"high":[19,29],"(PAN)":[23],"image,":[24],"aiming":[25],"obtain":[27],"(HRMS)":[33],"image.":[34],"Pansharpening":[35],"models":[36],"based":[37],"on":[38,212],"variational":[39,153],"optimization":[40,187],"consist":[41],"spectral":[44,175],"fidelity":[45,49,105,149,163,176],"term,":[46,50,150],"and":[51,65,126,136,221],"regularization":[53],"term.":[54],"Most":[55],"the":[57,61,66,71,82,91,129,133,137,143,147,161,173,179,185,200,216,224,227],"methods":[58],"assume":[59],"that":[60],"existing":[62],"PAN":[63,135],"homologous":[67],"HRMS":[68,139],"satisfy":[70],"global":[72],"or":[73],"local":[74],"linear":[75],"relationship,":[76],"which":[77,112],"could":[78],"be":[79],"far":[80],"from":[81],"real":[83],"case,":[84],"thus":[85],"causing":[86],"sub-optimal":[87],"performance.":[88],"Inspired":[89],"by":[90,172],"nonlinear":[92,109,130,158],"mapping":[93,110,159],"ability":[94],"machine":[96],"learning":[97],"(ML)":[98],"techniques,":[99],"we":[100,189],"propose":[101],"novel":[103],"term":[106,164,177],"learnable":[108,157],"(LNM-SF),":[111],"trains":[113],"an":[114,191],"implicit":[115],"functional":[116],"operator":[117],"via":[118],"specifically":[120],"designed":[121],"convolutional":[122],"neural":[123],"network":[124],"(CNN)":[125],"efficiently":[127],"constructs":[128],"relationship":[131],"between":[132],"known":[134],"latent":[138],"images.":[140],"Relying":[141],"upon":[142],"above":[144],"description":[145],"new":[152],"model":[154],"in":[160],"for":[165],"named":[167],"LNM-PS,":[168],"simply":[170],"integrated":[171],"conventional":[174],"into":[178],"proposed":[180,228],"LNM-SF.":[181],"To":[182],"effectively":[183],"solve":[184],"resulting":[186],"problem,":[188],"develop":[190],"alternating":[192],"direction":[193],"method":[194],"multipliers":[196],"(ADMM)-based":[197],"algorithm":[198,204],"fast":[201],"iterative":[202],"shrinkage-thresholding":[203],"(FISTA)":[205],"as":[206],"inner":[207],"solver.":[208],"Extensive":[209],"numerical":[210],"experiments":[211],"different":[213],"datasets,":[214],"assessing":[215],"performance":[217],"both":[218],"at":[219,235],"reduced-resolution":[220],"full-resolution,":[222],"show":[223],"superiority":[225],"LNM-PS":[229],"method.":[230],"code":[232],"available":[234],"https://github.com/liangjiandeng/-LNM-PS.":[236]},"counts_by_year":[{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
