{"id":"https://openalex.org/W4385982523","doi":"https://doi.org/10.1080/17538947.2023.2246944","title":"HyperRefiner: a refined hyperspectral pansharpening network based on the autoencoder and self-attention","display_name":"HyperRefiner: a refined hyperspectral pansharpening network based on the autoencoder and self-attention","publication_year":2023,"publication_date":"2023-08-18","ids":{"openalex":"https://openalex.org/W4385982523","doi":"https://doi.org/10.1080/17538947.2023.2246944"},"language":"en","primary_location":{"id":"doi:10.1080/17538947.2023.2246944","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2023.2246944","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2246944?needAccess=true&role=button","source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2246944?needAccess=true&role=button","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101758087","display_name":"Bo Zhou","orcid":"https://orcid.org/0009-0009-6123-1332"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Zhou","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, People\u2019s Republic of China","Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016709118","display_name":"Xianfeng Zhang","orcid":"https://orcid.org/0000-0002-2475-4558"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianfeng Zhang","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, People\u2019s Republic of China","Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, People's Republic of China"],"raw_orcid":"https://orcid.org/0000-0002-2475-4558","affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679598","display_name":"Xiao Chen","orcid":"https://orcid.org/0000-0001-9221-1603"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Chen","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, People\u2019s Republic of China","Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100602252","display_name":"Miao Ren","orcid":"https://orcid.org/0009-0006-1541-032X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Ren","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, People\u2019s Republic of China","Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100842756","display_name":"Ziyuan Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyuan Feng","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, People\u2019s Republic of China","Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016709118"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":{"value":2390,"currency":"USD","value_usd":2390},"apc_paid":{"value":2390,"currency":"USD","value_usd":2390},"fwci":1.7959,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86878925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"16","issue":"1","first_page":"3268","last_page":"3294"},"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":0.9993000030517578,"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":0.9986000061035156,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8051772117614746},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.7770712971687317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7236822247505188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7156912684440613},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6066627502441406},{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.5796130299568176},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5751411318778992},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49686458706855774},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4967966377735138},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4598435163497925},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4147148132324219},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.35403603315353394},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3204808235168457},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.27663522958755493},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26087814569473267},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14316803216934204}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8051772117614746},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.7770712971687317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7236822247505188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7156912684440613},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6066627502441406},{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.5796130299568176},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5751411318778992},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49686458706855774},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4967966377735138},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4598435163497925},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4147148132324219},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.35403603315353394},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3204808235168457},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.27663522958755493},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26087814569473267},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14316803216934204},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/17538947.2023.2246944","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2023.2246944","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2246944?needAccess=true&role=button","source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3564087430254ccfa59b98de870e66e0","is_oa":true,"landing_page_url":"https://doaj.org/article/3564087430254ccfa59b98de870e66e0","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":"International Journal of Digital Earth, Vol 16, Iss 1, Pp 3268-3294 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/17538947.2023.2246944","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2023.2246944","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2246944?needAccess=true&role=button","source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7988051032","display_name":null,"funder_award_id":"42171327","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"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385982523.pdf"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W54434497","https://openalex.org/W201959546","https://openalex.org/W1247035941","https://openalex.org/W1522046140","https://openalex.org/W1553305639","https://openalex.org/W1885185971","https://openalex.org/W1988952689","https://openalex.org/W1990231296","https://openalex.org/W2015380729","https://openalex.org/W2021046129","https://openalex.org/W2078855750","https://openalex.org/W2097259623","https://openalex.org/W2103504761","https://openalex.org/W2109773745","https://openalex.org/W2113240815","https://openalex.org/W2129471536","https://openalex.org/W2131697388","https://openalex.org/W2132984323","https://openalex.org/W2144436897","https://openalex.org/W2148039553","https://openalex.org/W2157321686","https://openalex.org/W2160547390","https://openalex.org/W2302265399","https://openalex.org/W2327302159","https://openalex.org/W2327364376","https://openalex.org/W2462592242","https://openalex.org/W2592312604","https://openalex.org/W2607041014","https://openalex.org/W2625894731","https://openalex.org/W2754256031","https://openalex.org/W2792111852","https://openalex.org/W2910457605","https://openalex.org/W2945202593","https://openalex.org/W2948669395","https://openalex.org/W2990162903","https://openalex.org/W3019893222","https://openalex.org/W3034552520","https://openalex.org/W3097824737","https://openalex.org/W3098542449","https://openalex.org/W3102912004","https://openalex.org/W3134743586","https://openalex.org/W3176750081","https://openalex.org/W3181737610","https://openalex.org/W4206511152","https://openalex.org/W4206900989","https://openalex.org/W4211233432","https://openalex.org/W4226080084","https://openalex.org/W4312340363","https://openalex.org/W4378421719"],"related_works":["https://openalex.org/W2158027388","https://openalex.org/W2349359340","https://openalex.org/W4287282750","https://openalex.org/W2347211862","https://openalex.org/W2393846550","https://openalex.org/W4285005667","https://openalex.org/W2950729865","https://openalex.org/W4298392938","https://openalex.org/W2008401355","https://openalex.org/W4212888438"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"has":[2],"been":[3],"developed":[4],"to":[5,25,40,76,91,132],"generate":[6],"promising":[7],"super":[8],"resolution":[9],"hyperspectral":[10,14,197],"imagery":[11,15],"by":[12,158,176],"fusing":[13],"with":[16,115,137],"the":[17,31,66,78,101,108,124,127,133,138,144,165],"panchromatic":[18],"band.":[19],"However,":[20],"it":[21],"is":[22,89,202],"still":[23],"challenging":[24],"maintain":[26],"edge":[27],"spectral":[28,86],"information":[29],"in":[30,64,196],"necessary":[32],"upsampling":[33,61],"processes":[34],"of":[35,82,126],"these":[36],"approaches,":[37],"and":[38,70,80,99,110,136,154,161,163,173,180,192],"difficult":[39],"guarantee":[41],"effective":[42],"feature":[43,97,111],"extraction.":[44],"This":[45],"study":[46],"proposes":[47],"a":[48,58,85],"pansharpening":[49],"network":[50,62,142],"denoted":[51],"as":[52],"HyperRefiner":[53,121,188],"that":[54,88,120,187],"consists":[55],"of,":[56],"(1)":[57],"well":[59],"performing":[60],"SRNet,":[63],"which":[65,104],"dual":[67],"attention":[68,72],"block":[69,73],"refined":[71],"are":[74],"cascaded":[75],"accomplish":[77],"extraction":[79],"fusion":[81],"features;":[83],"(2)":[84],"autoencoder":[87],"embedded":[90],"perform":[92],"dimensionality":[93],"reduction":[94],"under":[95],"constrained":[96],"extraction;":[98],"(3)":[100],"optimization":[102],"module":[103],"performs":[105],"self-attention":[106],"at":[107,205],"pixel":[109],"levels.":[112],"A":[113],"comparison":[114],"several":[116,190],"state-of-the-art":[117],"models":[118],"reveals":[119],"can":[122],"improve":[123],"quality":[125],"fused":[128],"image.":[129],"Specifically,":[130],"compared":[131],"single-head":[134],"HyperTransformer":[135],"Chikusei":[139],"dataset,":[140],"our":[141],"improved":[143],"Peak":[145],"Signal-to-Noise":[146],"Ratio,":[147],"Erreur":[148],"Relative":[149],"Globale":[150],"Adimensionnelle":[151],"de":[152],"Synth\u00e8se":[153],"Spectral":[155],"Angle":[156],"Mapper":[157],"0.86%,":[159],"3.62%,":[160],"2.09%,":[162],"reduce":[164],"total":[166],"memory,":[167],"floating":[168],"point":[169],"operations,":[170],"model":[171],"parameters":[172],"computation":[174],"time":[175],"41%,":[177],"75%,":[178],"86%":[179],"46%,":[181],"respectively.":[182],"The":[183,200],"experimental":[184],"results":[185],"show":[186],"outperforms":[189],"networks":[191],"demonstrates":[193],"its":[194],"usefulness":[195],"image":[198],"fusion.":[199],"code":[201],"publicly":[203],"available":[204],"https://github.com/zsspo/Fusion_HyperRefiner.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2025-10-10T00:00:00"}