{"id":"https://openalex.org/W4386973911","doi":"https://doi.org/10.1109/tnnls.2023.3313202","title":"SSTF-Unet: Spatial\u2013Spectral Transformer-Based U-Net for High-Resolution Hyperspectral Image Acquisition","display_name":"SSTF-Unet: Spatial\u2013Spectral Transformer-Based U-Net for High-Resolution Hyperspectral Image Acquisition","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4386973911","doi":"https://doi.org/10.1109/tnnls.2023.3313202","pmid":"https://pubmed.ncbi.nlm.nih.gov/37738195"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3313202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3313202","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101793537","display_name":"Haibo Liu","orcid":"https://orcid.org/0000-0002-9465-9433"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibo Liu","raw_affiliation_strings":["School of Robotics, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-9465-9433","affiliations":[{"raw_affiliation_string":"School of Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003850065","display_name":"Chenguo Feng","orcid":"https://orcid.org/0009-0007-0222-5114"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenguo Feng","raw_affiliation_strings":["School of Robotics, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0007-0222-5114","affiliations":[{"raw_affiliation_string":"School of Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026156663","display_name":"Renwei Dian","orcid":"https://orcid.org/0000-0001-9197-6292"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renwei Dian","raw_affiliation_strings":["School of Robotics, Hunan University, Changsha, China","Beijing Key Laboratory of Urban Spatial Information Engineering, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9197-6292","affiliations":[{"raw_affiliation_string":"School of Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Beijing Key Laboratory of Urban Spatial Information Engineering, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067097659","display_name":"Shutao Li","orcid":"https://orcid.org/0000-0002-0585-9848"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutao Li","raw_affiliation_strings":["College of Electrical and Information Engineering and the Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0585-9848","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering and the Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":3.0194,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.92463784,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"35","issue":"12","first_page":"18222","last_page":"18236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9775999784469604,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9775999784469604,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9190999865531921,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8730227947235107},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.47897934913635254},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.46197569370269775},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.428935706615448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.425906240940094},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4228602349758148},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4157765507698059},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40961581468582153},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39580291509628296},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.22338071465492249},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1954670250415802},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.06468576192855835}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8730227947235107},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.47897934913635254},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.46197569370269775},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.428935706615448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.425906240940094},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4228602349758148},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4157765507698059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40961581468582153},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39580291509628296},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.22338071465492249},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1954670250415802},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.06468576192855835},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3313202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3313202","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37738195","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37738195","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1069716622","display_name":null,"funder_award_id":"531118010744","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G1085509035","display_name":null,"funder_award_id":"62221002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1326090616","display_name":null,"funder_award_id":"12072366","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8469281213","display_name":null,"funder_award_id":"kq2202170","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8696630765","display_name":null,"funder_award_id":"62201205","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1916874600","https://openalex.org/W1940108662","https://openalex.org/W1988386267","https://openalex.org/W1990231296","https://openalex.org/W2012946078","https://openalex.org/W2021046129","https://openalex.org/W2097259623","https://openalex.org/W2100109944","https://openalex.org/W2221899823","https://openalex.org/W2327302159","https://openalex.org/W2520844005","https://openalex.org/W2617100983","https://openalex.org/W2748530166","https://openalex.org/W2761385227","https://openalex.org/W2792111852","https://openalex.org/W2794048225","https://openalex.org/W2803825432","https://openalex.org/W2804744787","https://openalex.org/W2889788332","https://openalex.org/W2936109839","https://openalex.org/W2941707854","https://openalex.org/W2963129413","https://openalex.org/W2964140612","https://openalex.org/W2989355516","https://openalex.org/W3016410830","https://openalex.org/W3034400067","https://openalex.org/W3034885317","https://openalex.org/W3036475713","https://openalex.org/W3044477028","https://openalex.org/W3045851210","https://openalex.org/W3083606623","https://openalex.org/W3130282602","https://openalex.org/W3133774295","https://openalex.org/W3138516171","https://openalex.org/W3160949528","https://openalex.org/W3161700323","https://openalex.org/W3164714368","https://openalex.org/W3165729427","https://openalex.org/W3172509117","https://openalex.org/W3178925107","https://openalex.org/W3188774019","https://openalex.org/W3196711624","https://openalex.org/W3198656026","https://openalex.org/W3202708053","https://openalex.org/W3204169305","https://openalex.org/W3205965083","https://openalex.org/W3209001699","https://openalex.org/W3214821343","https://openalex.org/W4221151152","https://openalex.org/W4224294196","https://openalex.org/W4226469049","https://openalex.org/W4283760989","https://openalex.org/W4288064619","https://openalex.org/W4307741723","https://openalex.org/W4309875138","https://openalex.org/W4312523466","https://openalex.org/W4312553104","https://openalex.org/W4313009532","https://openalex.org/W4318953520","https://openalex.org/W4319792453","https://openalex.org/W4320002835","https://openalex.org/W4320713273","https://openalex.org/W4320713392","https://openalex.org/W4320881617","https://openalex.org/W4328104974","https://openalex.org/W4362014056","https://openalex.org/W4362470511","https://openalex.org/W4367146812","https://openalex.org/W4367834188","https://openalex.org/W4378421719","https://openalex.org/W4380875849","https://openalex.org/W4385245566","https://openalex.org/W6739622702","https://openalex.org/W6791481479"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W2317401237","https://openalex.org/W1990800631","https://openalex.org/W2167120702","https://openalex.org/W2579567122","https://openalex.org/W2369060955"],"abstract_inverted_index":{"To":[0,65],"obtain":[1,66],"a":[2,8,14,20,73],"high-resolution":[3,15],"hyperspectral":[4,10,35],"image":[5,11,17,36,40,56],"(HR-HSI),":[6],"fusing":[7],"low-resolution":[9],"(LR-HSI)":[12],"and":[13,38,87,103,112,118,168],"multispectral":[16,39],"(HR-MSI)":[18],"is":[19],"prominent":[21],"approach.":[22],"Numerous":[23],"approaches":[24],"based":[25],"on":[26,152],"convolutional":[27,63],"neural":[28],"networks":[29],"(CNNs)":[30],"have":[31],"been":[32],"presented":[33],"for":[34,145],"(HSI)":[37],"(MSI)":[41],"fusion.":[42,149],"Nevertheless,":[43],"these":[44],"CNN-based":[45],"methods":[46],"may":[47],"ignore":[48],"the":[49,54,59,82,89,98,110,126,133,158],"global":[50],"relevant":[51],"features":[52,86],"from":[53],"input":[55],"due":[57],"to":[58,108,124],"geometric":[60],"limitations":[61],"of":[62,92],"kernels.":[64],"more":[67],"accurate":[68],"fusion":[69,128,170],"results,":[70],"we":[71,96,136],"provide":[72],"spatial-spectral":[74,127,147],"transformer-based":[75],"U-net":[76,134],"(SSTF-Unet).":[77],"Our":[78],"SSTF-Unet":[79,140,160],"can":[80],"capture":[81],"association":[83],"between":[84],"distant":[85],"explore":[88],"intrinsic":[90],"information":[91],"images.":[93],"More":[94],"specifically,":[95],"use":[97],"spatial":[99,111],"transformer":[100,105],"block":[101,106,129],"(SATB)":[102],"spectral":[104,113],"(SETB)":[107],"calculate":[109],"self-attention,":[114],"respectively.":[115],"Then,":[116],"SATB":[117],"SETB":[119],"are":[120],"connected":[121],"in":[122],"parallel":[123],"form":[125],"(SSFB).":[130],"Inspired":[131],"by":[132],"architecture,":[135],"build":[137],"up":[138],"our":[139],"through":[141],"stacking":[142],"several":[143],"SSFBs":[144],"multiscale":[146],"feature":[148],"Experimental":[150],"results":[151],"public":[153],"HSI":[154,167],"datasets":[155],"demonstrate":[156],"that":[157],"designed":[159],"achieves":[161],"better":[162],"performance":[163],"than":[164],"other":[165],"existing":[166],"MSI":[169],"approaches.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
