{"id":"https://openalex.org/W4317761513","doi":"https://doi.org/10.1109/tgrs.2023.3239013","title":"Mutiscale Hybrid Attention Transformer for Remote Sensing Image Pansharpening","display_name":"Mutiscale Hybrid Attention Transformer for Remote Sensing Image Pansharpening","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4317761513","doi":"https://doi.org/10.1109/tgrs.2023.3239013"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3239013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3239013","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/A5027380639","display_name":"Wengang Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wengang Zhu","raw_affiliation_strings":["School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China","institution_ids":["https://openalex.org/I83776822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028836596","display_name":"Jinjiang Li","orcid":"https://orcid.org/0000-0002-2080-8678"},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinjiang Li","raw_affiliation_strings":["School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China","institution_ids":["https://openalex.org/I83776822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014888283","display_name":"Zhiyong An","orcid":"https://orcid.org/0000-0003-1252-3872"},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong An","raw_affiliation_strings":["School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China","institution_ids":["https://openalex.org/I83776822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078116487","display_name":"Zhen Hua","orcid":"https://orcid.org/0000-0003-1638-2974"},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Hua","raw_affiliation_strings":["School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, China","institution_ids":["https://openalex.org/I83776822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027380639"],"corresponding_institution_ids":["https://openalex.org/I83776822"],"apc_list":null,"apc_paid":null,"fwci":3.4982,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.93297202,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"16"},"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":0.9988999962806702,"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":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8010439872741699},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6345162987709045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5925084352493286},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.558131992816925},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5578314065933228},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5374951958656311},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5334630012512207},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34901320934295654},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.18968713283538818},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0729910135269165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8010439872741699},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6345162987709045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5925084352493286},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.558131992816925},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5578314065933228},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5374951958656311},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5334630012512207},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34901320934295654},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18968713283538818},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0729910135269165},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3239013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3239013","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3206296086","display_name":null,"funder_award_id":"62272281","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4423309937","display_name":null,"funder_award_id":"62002200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4878265459","display_name":null,"funder_award_id":"61772319","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5070134275","display_name":null,"funder_award_id":"ZR2021QF134","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G7646770259","display_name":null,"funder_award_id":"ZR2021MF068","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G944836803","display_name":null,"funder_award_id":"62202268","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/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":82,"referenced_works":["https://openalex.org/W228376220","https://openalex.org/W1247035941","https://openalex.org/W1522046140","https://openalex.org/W1553305639","https://openalex.org/W1885185971","https://openalex.org/W1996420463","https://openalex.org/W2001800591","https://openalex.org/W2112693869","https://openalex.org/W2122710056","https://openalex.org/W2124743705","https://openalex.org/W2128272608","https://openalex.org/W2133665775","https://openalex.org/W2142843085","https://openalex.org/W2144436897","https://openalex.org/W2158027388","https://openalex.org/W2171108951","https://openalex.org/W2171627515","https://openalex.org/W2171845746","https://openalex.org/W2172185514","https://openalex.org/W2194775991","https://openalex.org/W2302265399","https://openalex.org/W2394774286","https://openalex.org/W2462592242","https://openalex.org/W2610945978","https://openalex.org/W2613155248","https://openalex.org/W2735755726","https://openalex.org/W2748857496","https://openalex.org/W2751661950","https://openalex.org/W2752782242","https://openalex.org/W2754256031","https://openalex.org/W2777033955","https://openalex.org/W2792365373","https://openalex.org/W2884367402","https://openalex.org/W2902746003","https://openalex.org/W2923136550","https://openalex.org/W2950689937","https://openalex.org/W2963007295","https://openalex.org/W2963129413","https://openalex.org/W2963183385","https://openalex.org/W2964275574","https://openalex.org/W2964979676","https://openalex.org/W3009455122","https://openalex.org/W3023991509","https://openalex.org/W3035022492","https://openalex.org/W3081397212","https://openalex.org/W3096609285","https://openalex.org/W3097824737","https://openalex.org/W3098542449","https://openalex.org/W3099347747","https://openalex.org/W3121523901","https://openalex.org/W3127751679","https://openalex.org/W3138516171","https://openalex.org/W3171125843","https://openalex.org/W3172472472","https://openalex.org/W3200379731","https://openalex.org/W3207918547","https://openalex.org/W4205481600","https://openalex.org/W4214893857","https://openalex.org/W4225672218","https://openalex.org/W4289752563","https://openalex.org/W4292773652","https://openalex.org/W4312358791","https://openalex.org/W4312812783","https://openalex.org/W4312898263","https://openalex.org/W4313162929","https://openalex.org/W4385245566","https://openalex.org/W6602248423","https://openalex.org/W6618372016","https://openalex.org/W6623043969","https://openalex.org/W6628238970","https://openalex.org/W6631230401","https://openalex.org/W6633088995","https://openalex.org/W6682137061","https://openalex.org/W6685078114","https://openalex.org/W6692550842","https://openalex.org/W6697828997","https://openalex.org/W6738510669","https://openalex.org/W6748666111","https://openalex.org/W6750469568","https://openalex.org/W6755207826","https://openalex.org/W6790749177","https://openalex.org/W6840201148"],"related_works":["https://openalex.org/W3088721469","https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746"],"abstract_inverted_index":{"Pansharpening":[0],"methods":[1],"play":[2],"a":[3,35,106],"crucial":[4],"role":[5],"for":[6],"remote":[7],"sensing":[8],"image":[9],"processing.":[10],"The":[11,72],"existing":[12],"pansharpening":[13,40],"methods,":[14],"in":[15,74,111],"general,":[16],"have":[17,150],"the":[18,44,47,62,83,89,93,112,120,123,128,133,146,159,173],"problems":[19],"of":[20,25,172],"spectral":[21,124],"distortion":[22],"and":[23,68,82,127,158],"lack":[24],"spatial":[26,129],"detail":[27],"information.":[28,91],"To":[29],"mitigate":[30],"these":[31],"problems,":[32],"we":[33,136],"propose":[34,105],"multiscale":[36,94,113],"hybrid":[37,107],"attention":[38,65,108],"Transformer":[39,95],"network":[41],"(MHATP-Net).":[42],"In":[43,132],"proposed":[45],"network,":[46],"shallow":[48],"feature":[49,102,114,125,130],"(SF)":[50],"is":[51,97],"first":[52],"acquired":[53],"through":[54],"an":[55],"SF":[56,90],"extraction":[57],"module":[58,66,76,96,109,116],"(SFEM),":[59],"which":[60],"contains":[61],"convolutional":[63],"block":[64],"(CBAM)":[67],"dynamic":[69,84],"convolution":[70,85],"blocks.":[71],"CBAM":[73],"this":[75,163],"can":[77,87],"filter":[78],"initial":[79],"information":[80],"roughly,":[81],"blocks":[86],"enrich":[88],"Then,":[92],"used":[98],"to":[99,117,144],"obtain":[100],"multiencoding":[101],"images.":[103],"We":[104,149],"(HAM)":[110],"recovery":[115],"effectively":[118],"address":[119],"balance":[121],"between":[122],"retention":[126],"recovery.":[131],"training":[134],"process,":[135],"use":[137],"deep":[138],"semantic":[139],"statistics":[140],"matching":[141],"(D2SM)":[142],"loss":[143],"optimize":[145],"output":[147],"model.":[148],"conducted":[151],"extensive":[152],"experiments":[153],"on":[154],"several":[155],"known":[156],"datasets,":[157],"results":[160],"show":[161],"that":[162],"article":[164],"has":[165],"good":[166],"performance":[167],"compared":[168],"with":[169],"other":[170],"state":[171],"art":[174],"(SOTA)":[175],"methods.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":8}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}