{"id":"https://openalex.org/W4386590665","doi":"https://doi.org/10.1109/tgrs.2023.3312280","title":"AS<sup>3</sup>ITransUNet: Spatial\u2013Spectral Interactive Transformer U-Net With Alternating Sampling for Hyperspectral Image Super-Resolution","display_name":"AS<sup>3</sup>ITransUNet: Spatial\u2013Spectral Interactive Transformer U-Net With Alternating Sampling for Hyperspectral Image Super-Resolution","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386590665","doi":"https://doi.org/10.1109/tgrs.2023.3312280"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3312280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3312280","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/A5081006499","display_name":"Qin Xu","orcid":"https://orcid.org/0000-0002-9020-2006"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qin Xu","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111037784","display_name":"Shiji Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiji Liu","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446916","display_name":"Jiahui Wang","orcid":"https://orcid.org/0000-0002-6438-1506"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053609164","display_name":"Bo Jiang","orcid":"https://orcid.org/0000-0002-6238-1596"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Jiang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030720334","display_name":"Jin Tang","orcid":"https://orcid.org/0000-0001-8375-3590"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Tang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5081006499"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":2.7418,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.91606847,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"13"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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/upsampling","display_name":"Upsampling","score":0.8253718614578247},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7704290151596069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7037668228149414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6626866459846497},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5411777496337891},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4848933815956116},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4674191474914551},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.43121808767318726},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4100402295589447},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.35425829887390137},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3518187403678894},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14277830719947815},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07009291648864746}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.8253718614578247},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7704290151596069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7037668228149414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6626866459846497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5411777496337891},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4848933815956116},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4674191474914551},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.43121808767318726},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4100402295589447},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35425829887390137},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3518187403678894},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14277830719947815},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07009291648864746},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3312280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3312280","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/G2231845458","display_name":null,"funder_award_id":"61860206004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4959458362","display_name":null,"funder_award_id":"72071001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7038253478","display_name":null,"funder_award_id":"KJ2021A0038","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G7114861057","display_name":null,"funder_award_id":"U20B2068","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/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1901129140","https://openalex.org/W2012946078","https://openalex.org/W2067532478","https://openalex.org/W2100109944","https://openalex.org/W2121058967","https://openalex.org/W2161516371","https://openalex.org/W2165709183","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2327302159","https://openalex.org/W2462831000","https://openalex.org/W2503339013","https://openalex.org/W2607041014","https://openalex.org/W2612690371","https://openalex.org/W2747898905","https://openalex.org/W2752782242","https://openalex.org/W2767522909","https://openalex.org/W2773850265","https://openalex.org/W2792144524","https://openalex.org/W2804744787","https://openalex.org/W2887210918","https://openalex.org/W2898062170","https://openalex.org/W2900780912","https://openalex.org/W2963284277","https://openalex.org/W2963372104","https://openalex.org/W2963729050","https://openalex.org/W2979880570","https://openalex.org/W2984765964","https://openalex.org/W3025440211","https://openalex.org/W3027120144","https://openalex.org/W3032400974","https://openalex.org/W3082743121","https://openalex.org/W3102745911","https://openalex.org/W3109953061","https://openalex.org/W3136032573","https://openalex.org/W3138516171","https://openalex.org/W3208460268","https://openalex.org/W3213453744","https://openalex.org/W4210794570","https://openalex.org/W4224882649","https://openalex.org/W4225672218","https://openalex.org/W4226277663","https://openalex.org/W4283732315","https://openalex.org/W4285202680","https://openalex.org/W4288064619","https://openalex.org/W4293731866","https://openalex.org/W4294310997","https://openalex.org/W4312524730","https://openalex.org/W4312543911","https://openalex.org/W4312707458","https://openalex.org/W4312812783","https://openalex.org/W4312845279","https://openalex.org/W4318953520","https://openalex.org/W4322731406","https://openalex.org/W4381730126","https://openalex.org/W4381885522","https://openalex.org/W4386076602","https://openalex.org/W6718683173","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2317401237","https://openalex.org/W1990800631","https://openalex.org/W2167120702","https://openalex.org/W2579567122","https://openalex.org/W3004135429","https://openalex.org/W3121005460","https://openalex.org/W1982418987","https://openalex.org/W1978077614","https://openalex.org/W4327563507","https://openalex.org/W2603494857"],"abstract_inverted_index":{"Single":[0],"hyperspectral":[1],"image":[2],"(HSI)":[3],"super-resolution":[4],"(SR)":[5],"is":[6,102,119,189],"an":[7],"important":[8],"topic":[9],"in":[10,59,196,206],"remote":[11],"sensing":[12],"field.":[13],"However,":[14],"existing":[15],"HSI":[16,79,199,209],"SR":[17,80],"methods":[18],"mainly":[19],"use":[20],"the":[21,32,38,64,78,87,92,107,112,123,127,139,146,156,174,183,193,197,203,207,214,220,230,235],"feed-forward":[22],"upsampling":[23,116],"technique":[24],"and":[25,45,48,52,117,152,158,179,233,242],"convolutional":[26],"neural":[27],"network":[28],"(CNN)":[29],"to":[30,36,85,131,191],"learn":[31,37],"feature":[33],"representation,":[34],"failing":[35],"complex":[39,128],"mapping":[40,129],"relationship":[41,130],"between":[42,177],"low-resolution":[43],"(LR)":[44],"high-resolution":[46],"(HR)":[47],"long-range":[49],"joint":[50],"spectral":[51,94,180,236],"spatial":[53,178,231],"features.":[54],"To":[55,104,136],"address":[56],"this":[57,60,83],"issue,":[58],"paper,":[61],"we":[62,144],"propose":[63,145],"Spatial-Spectral":[65],"Interactive":[66],"Transformer":[67],"U-Net":[68,113],"with":[69,114],"Alternating":[70],"Sampling":[71],"(AS":[72],"<sup":[73,223],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[74,224],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[75,225],"ITransUNet)":[76],"for":[77,201],"task.":[81],"In":[82],"method,":[84],"mitigate":[86],"computational":[88],"burden":[89],"resulting":[90],"from":[91],"high":[93],"dimension":[95],"of":[96,110,125,134,142,160],"HSI,":[97,111,143],"a":[98,166],"group":[99],"reconstruction":[100],"strategy":[101],"adopted.":[103],"effectively":[105,228],"explore":[106],"hierarchical":[108],"features":[109,141],"alternating":[115],"downsampling":[118],"designed":[120],"that":[121,219],"allocates":[122],"task":[124],"learning":[126,187],"each":[132],"stage":[133],"U-Net.":[135,161],"fully":[137],"extract":[138],"spatial-spectral":[140,147],"interactive":[148],"transformer":[149],"(SSIT)":[150],"block":[151,164],"integrate":[153],"it":[154],"into":[155],"encoder":[157],"decoder":[159],"The":[162,211],"SSIT":[163],"contains":[165],"cross-branch":[167],"bidirectional":[168],"interaction":[169],"module,":[170],"which":[171],"further":[172],"captures":[173],"complementary":[175,185,194],"information":[176,186,195,237],"dimensions.":[181],"Moreover,":[182],"multi-stage":[184],"(MFEL)":[188],"proposed":[190,221],"capture":[192],"adjacent":[198],"groups":[200],"recovering":[202],"absent":[204],"details":[205],"current":[208],"group.":[210],"experiments":[212],"on":[213],"three":[215],"benchmark":[216],"datasets":[217],"demonstrate":[218],"AS":[222],"ITransUNet":[226],"can":[227],"improve":[229],"resolution":[232],"preserve":[234],"at":[238,246],"different":[239],"scales.":[240],"Models":[241],"code":[243],"are":[244],"available":[245],"https://github.com/liushiji666/AS3-ITransUNet.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}