{"id":"https://openalex.org/W4328007142","doi":"https://doi.org/10.1109/jstars.2023.3259014","title":"Pansharpening Using Unsupervised Generative Adversarial Networks With Recursive Mixed-Scale Feature Fusion","display_name":"Pansharpening Using Unsupervised Generative Adversarial Networks With Recursive Mixed-Scale Feature Fusion","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4328007142","doi":"https://doi.org/10.1109/jstars.2023.3259014"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2023.3259014","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/jstars.2023.3259014","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10076823.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10076823.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101568908","display_name":"Yuanyuan Wu","orcid":"https://orcid.org/0000-0001-9718-7649"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Wu","raw_affiliation_strings":["School of Information and Communication Engineering, Hainan University, Haikou, China"],"raw_orcid":"https://orcid.org/0000-0001-9718-7649","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101729131","display_name":"Yuchun Li","orcid":"https://orcid.org/0000-0003-2723-220X"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchun Li","raw_affiliation_strings":["School of Information and Communication Engineering, Hainan University, Haikou, China"],"raw_orcid":"https://orcid.org/0000-0003-2723-220X","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100572274","display_name":"Siling Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siling Feng","raw_affiliation_strings":["School of Information and Communication Engineering, Hainan University, Haikou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011132245","display_name":"Mengxing Huang","orcid":"https://orcid.org/0000-0002-5709-703X"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengxing Huang","raw_affiliation_strings":["State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou, China"],"raw_orcid":"https://orcid.org/0000-0002-5709-703X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20942203"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":2.7319,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.91234992,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"16","issue":null,"first_page":"3742","last_page":"3759"},"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":0.9979000091552734,"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":0.9907000064849854,"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":0.7519575953483582},{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.7247886657714844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5510719418525696},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5473851561546326},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5211936831474304},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5033800005912781},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.47399723529815674},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44069209694862366},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.43305566906929016},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4297259449958801},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33930128812789917},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.2862282991409302}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7519575953483582},{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.7247886657714844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5510719418525696},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5473851561546326},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5211936831474304},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5033800005912781},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.47399723529815674},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44069209694862366},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.43305566906929016},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4297259449958801},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33930128812789917},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.2862282991409302},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C103038307","wikidata":"https://www.wikidata.org/wiki/Q6556360","display_name":"Lipid bilayer fusion","level":3,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2023.3259014","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/jstars.2023.3259014","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10076823.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3ccde65b8b2044279a10cb310cb2010b","is_oa":true,"landing_page_url":"https://doaj.org/article/3ccde65b8b2044279a10cb310cb2010b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 3742-3759 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2023.3259014","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/jstars.2023.3259014","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10076823.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2021976906","display_name":null,"funder_award_id":"2019CXTD400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5230019526","display_name":null,"funder_award_id":"82260362","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G580643074","display_name":null,"funder_award_id":"2018YFB1404400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6674738655","display_name":null,"funder_award_id":"2018YFB1404400","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G848024145","display_name":null,"funder_award_id":"ZDKJ202017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4328007142.pdf","grobid_xml":"https://content.openalex.org/works/W4328007142.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W811864384","https://openalex.org/W1137659061","https://openalex.org/W2001800591","https://openalex.org/W2036485827","https://openalex.org/W2039247168","https://openalex.org/W2103504761","https://openalex.org/W2106002835","https://openalex.org/W2112693869","https://openalex.org/W2121652279","https://openalex.org/W2124743705","https://openalex.org/W2133665775","https://openalex.org/W2139529730","https://openalex.org/W2142843085","https://openalex.org/W2159269332","https://openalex.org/W2163334907","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2171845746","https://openalex.org/W2172185514","https://openalex.org/W2302255633","https://openalex.org/W2303172903","https://openalex.org/W2462592242","https://openalex.org/W2528170672","https://openalex.org/W2549139847","https://openalex.org/W2619662254","https://openalex.org/W2754256031","https://openalex.org/W2777033955","https://openalex.org/W2785678896","https://openalex.org/W2806865914","https://openalex.org/W2906771061","https://openalex.org/W2986860520","https://openalex.org/W3014514331","https://openalex.org/W3023991509","https://openalex.org/W3038139892","https://openalex.org/W3043042355","https://openalex.org/W3046562476","https://openalex.org/W3096904276","https://openalex.org/W3098542449","https://openalex.org/W3109408464","https://openalex.org/W3115223653","https://openalex.org/W3120331810","https://openalex.org/W3131816200","https://openalex.org/W3176195847","https://openalex.org/W3185712683","https://openalex.org/W3204971388","https://openalex.org/W3204998160","https://openalex.org/W3206049508","https://openalex.org/W4206147831","https://openalex.org/W4214589454","https://openalex.org/W4285203116","https://openalex.org/W6623043969","https://openalex.org/W6631190155","https://openalex.org/W6685078114","https://openalex.org/W7066455056"],"related_works":["https://openalex.org/W2158394102","https://openalex.org/W1930929277","https://openalex.org/W2361746014","https://openalex.org/W1502637513","https://openalex.org/W2124952510","https://openalex.org/W2375311607","https://openalex.org/W2022261651","https://openalex.org/W2565514930","https://openalex.org/W2011962637","https://openalex.org/W2163677711"],"abstract_inverted_index":{"Panchromatic":[0],"sharpening":[1],"(pansharpening)":[2],"is":[3,45,91,107,127,143,165,186,214,219],"an":[4],"important":[5],"technology":[6],"for":[7,64,168,176,182],"improving":[8],"the":[9,19,24,32,36,52,71,76,94,114,121,130,135,147,169,183,190,195,226,231],"spatial":[10,72],"resolution":[11,73],"of":[12,18,120,134,171],"multispectral":[13],"(MS)":[14],"images.":[15,202],"The":[16,141,216],"majority":[17],"models":[20],"are":[21,67,206],"implemented":[22],"at":[23,31],"reduced":[25],"resolution,":[26],"leading":[27],"to":[28,69,96,174,188],"unfavorable":[29],"results":[30,133],"full":[33],"resolution.":[34],"Moreover,":[35],"complicated":[37,196],"relationship":[38,197],"between":[39,198],"MS":[40,116,199],"and":[41,74,83,117,138,156,200,208,225,238],"panchromatic":[42],"(PAN)":[43],"images":[44],"often":[46],"ignored":[47],"in":[48,93,146],"detail":[49],"injection.":[50],"For":[51],"mentioned":[53],"problems,":[54],"unsupervised":[55],"generative":[56],"adversarial":[57],"networks":[58],"with":[59],"recursive":[60,102,152],"mixed-scale":[61,103,125,153],"feature":[62,104],"fusion":[63,105,112,126,132,142,154],"pansharpening":[65],"(RMFF-UPGAN)":[66],"modeled":[68],"boost":[70],"preserve":[75],"spectral":[77],"information.":[78,99,160,177],"RMFF-UPGAN":[79],"comprises":[80],"a":[81,101,110,151,209],"generator":[82,95],"two":[84,222],"U-shaped":[85,204],"discriminators.":[86],"A":[87,124,161,178],"dual-stream":[88],"trapezoidal":[89],"branch":[90],"designed":[92,167,207],"obtain":[97],"multiscale":[98],"Further,":[100],"subnetwork":[106],"designed.":[108],"Perform":[109],"prior":[111,131],"on":[113,129],"extracted":[115],"PAN":[118,201],"features":[119],"same":[122],"scale.":[123,140],"conducted":[128],"fine":[136],"scale":[137],"coarse":[139],"executed":[144],"sequentially":[145],"aforementioned":[148],"manner":[149],"building":[150],"structure,":[155],"finally,":[157],"generating":[158],"key":[159,172],"compensation":[162],"information":[163,173,185],"mechanism":[164],"also":[166],"reconstruction":[170],"compensate":[175],"nonlinear":[179],"rectification":[180],"block":[181],"reconstructed":[184],"developed":[187],"overcome":[189],"distortion":[191],"induced":[192],"by":[193],"neglecting":[194],"Two":[203],"discriminators":[205],"new":[210],"composite":[211],"loss":[212],"function":[213],"defined.":[215],"presented":[217],"model":[218],"validated":[220],"using":[221],"satellite":[223],"data":[224],"outcomes":[227],"reveal":[228],"better":[229],"than":[230],"prevalent":[232],"approaches":[233],"regarding":[234],"both":[235],"visual":[236],"assessment":[237],"objective":[239],"indicators.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":10}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}