{"id":"https://openalex.org/W4399206168","doi":"https://doi.org/10.1109/jstars.2024.3407953","title":"A Hybrid Spectral Attention-Enabled Multiscale Spatial\u2013Spectral Learning Network for Hyperspectral Image Superresolution","display_name":"A Hybrid Spectral Attention-Enabled Multiscale Spatial\u2013Spectral Learning Network for Hyperspectral Image Superresolution","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399206168","doi":"https://doi.org/10.1109/jstars.2024.3407953"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3407953","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3407953","pdf_url":null,"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":null,"license_id":null,"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://doi.org/10.1109/jstars.2024.3407953","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100429460","display_name":"Wenjing Wang","orcid":"https://orcid.org/0000-0002-2465-5437"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenjing Wang","raw_affiliation_strings":["MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, Research Center for Space Optics and Astronomy, School of Physics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, Research Center for Space Optics and Astronomy, School of Physics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071187874","display_name":"Tingkui Mu","orcid":"https://orcid.org/0000-0002-7927-7760"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tingkui Mu","raw_affiliation_strings":["MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, Research Center for Space Optics and Astronomy, School of Physics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-7927-7760","affiliations":[{"raw_affiliation_string":"MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, Research Center for Space Optics and Astronomy, School of Physics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101723199","display_name":"Qiuxia Li","orcid":"https://orcid.org/0000-0003-1141-1334"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiuxia Li","raw_affiliation_strings":["MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, Research Center for Space Optics and Astronomy, School of Physics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, Research Center for Space Optics and Astronomy, School of Physics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369547","display_name":"Haoyang Li","orcid":"https://orcid.org/0009-0000-1683-9386"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haoyang Li","raw_affiliation_strings":["MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, Research Center for Space Optics and Astronomy, School of Physics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, Research Center for Space Optics and Astronomy, School of Physics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108248388","display_name":"Qiujie Yang","orcid":"https://orcid.org/0000-0002-1740-9561"},"institutions":[{"id":"https://openalex.org/I4210135723","display_name":"Shanghai Institute of Technical Physics","ror":"https://ror.org/02txedb84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210135723"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiujie Yang","raw_affiliation_strings":["Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1740-9561","affiliations":[{"raw_affiliation_string":"Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210135723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.0846,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79465205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"17","issue":null,"first_page":"11016","last_page":"11033"},"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":0.9994999766349792,"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":0.9987999796867371,"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":0.8157340288162231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7320362329483032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6762790679931641},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5979995131492615},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5925911068916321},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.513883113861084},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4820709824562073},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.47407880425453186},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.46219000220298767},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.45806175470352173},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.45506522059440613},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4546130895614624},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4344196021556854},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42484328150749207},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39304324984550476},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3101681172847748},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14289426803588867},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13603997230529785},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10445627570152283},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.0662539005279541}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8157340288162231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7320362329483032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6762790679931641},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5979995131492615},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5925911068916321},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.513883113861084},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4820709824562073},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.47407880425453186},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.46219000220298767},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.45806175470352173},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.45506522059440613},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4546130895614624},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4344196021556854},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42484328150749207},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39304324984550476},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3101681172847748},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14289426803588867},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13603997230529785},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10445627570152283},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0662539005279541},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3407953","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3407953","pdf_url":null,"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":null,"license_id":null,"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:9bf0554afaef44c0af5f9abd0880172b","is_oa":true,"landing_page_url":"https://doaj.org/article/9bf0554afaef44c0af5f9abd0880172b","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 17, Pp 11016-11033 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3407953","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3407953","pdf_url":null,"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":null,"license_id":null,"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":[],"awards":[{"id":"https://openalex.org/G2930001660","display_name":null,"funder_award_id":"62175196","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1988128371","https://openalex.org/W1990231296","https://openalex.org/W2021046129","https://openalex.org/W2029684123","https://openalex.org/W2100109944","https://openalex.org/W2117865218","https://openalex.org/W2121058967","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2414132572","https://openalex.org/W2588000623","https://openalex.org/W2593769214","https://openalex.org/W2752782242","https://openalex.org/W2767522909","https://openalex.org/W2807977194","https://openalex.org/W2809082179","https://openalex.org/W2910457605","https://openalex.org/W2914205315","https://openalex.org/W2928165649","https://openalex.org/W2954930822","https://openalex.org/W2955111813","https://openalex.org/W2963372104","https://openalex.org/W2966739747","https://openalex.org/W2987151592","https://openalex.org/W3000422461","https://openalex.org/W3000573080","https://openalex.org/W3015378990","https://openalex.org/W3025440211","https://openalex.org/W3027120144","https://openalex.org/W3033214016","https://openalex.org/W3040726448","https://openalex.org/W3091107621","https://openalex.org/W3102745911","https://openalex.org/W3102912004","https://openalex.org/W3123265576","https://openalex.org/W3124196789","https://openalex.org/W3162761567","https://openalex.org/W3166936699","https://openalex.org/W3172304795","https://openalex.org/W3176447417","https://openalex.org/W3188607452","https://openalex.org/W3195697237","https://openalex.org/W3196356615","https://openalex.org/W3208181816","https://openalex.org/W3209001699","https://openalex.org/W3212386989","https://openalex.org/W4213185605","https://openalex.org/W4225747055","https://openalex.org/W4229058281","https://openalex.org/W4282830160","https://openalex.org/W4285179032","https://openalex.org/W4285202680","https://openalex.org/W4312524730","https://openalex.org/W4381730126","https://openalex.org/W4384026595","https://openalex.org/W4385271928","https://openalex.org/W4390873790","https://openalex.org/W4391074589","https://openalex.org/W6772334358"],"related_works":["https://openalex.org/W2911259277","https://openalex.org/W4386427838","https://openalex.org/W2800956885","https://openalex.org/W2533019003","https://openalex.org/W1788560349","https://openalex.org/W2626158795","https://openalex.org/W2078656815","https://openalex.org/W2391021239","https://openalex.org/W2560525382","https://openalex.org/W2126575155"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"super":[2],"resolution":[3],"(HSI-SR)":[4],"has":[5],"become":[6],"an":[7,60,168],"essential":[8],"step":[9],"of":[10,55,88,101,130],"data":[11],"preprocessing":[12],"for":[13,51,73,202],"tasks":[14],"such":[15],"as":[16,165,167],"classification":[17],"and":[18,37,45,80,113,125,148],"change":[19],"detection":[20],"in":[21,31],"remote":[22],"sensing.":[23],"For":[24],"HSI-SR":[25],"tasks,":[26],"the":[27,43,52,86,127,145,160,191,197,203],"state-of-the-art":[28],"methods":[29,213],"lie":[30],"how":[32],"to":[33,76,118,143,195],"learn":[34],"effective":[35],"spatial":[36,147,158],"spectral":[38,70,171],"characteristics.":[39,83],"More":[40],"deeply":[41],"mining":[42],"shallow":[44,79,89,122],"deep":[46,81,146,178],"spatial-spectral":[47,63,82,90,123,136,149,179],"features":[48,91,124],"is":[49,115,140,207],"vital":[50],"performance":[53],"improvement":[54],"HSI-SR.":[56],"Hereby,":[57],"we":[58,182],"provide":[59],"end-to-end":[61],"multi-scale":[62,96,121,135,177,185],"network":[64],"(M3SN)":[65],"driven":[66],"by":[67,214],"a":[68,95,102,133,184],"hybrid":[69,170],"attention":[71,172],"mechanism":[72,173],"HSI-SR,":[74],"aiming":[75],"fully":[77],"dig":[78],"Precisely,":[84],"considering":[85],"importance":[87],"at":[92],"early":[93],"stages,":[94],"information":[97],"block":[98,138,187],"(MSIB)":[99],"consisting":[100],"3D":[103],"convolution,":[104],"three":[105],"parallel":[106],"2D":[107,155],"convolutions":[108,156],"with":[109],"different":[110],"scale":[111],"sizes,":[112],"SE-Net":[114],"first":[116],"designed":[117],"extract":[119],"informative":[120],"recalibrate":[126],"channel":[128,192],"weights":[129],"features.":[131,150,180],"Then":[132],"dual-path":[134],"feature":[137,200],"(DMFB)":[139],"set":[141],"up":[142],"explore":[144],"While":[151],"one":[152],"path":[153,162],"using":[154],"extracts":[157],"features,":[159],"other":[161],"employing":[163],"3D-Res2Net":[164],"well":[166],"updated":[169],"(HSAM)":[174],"module":[175],"mines":[176],"Finally,":[181],"design":[183],"fusion":[186],"(MSFB)":[188],"based":[189],"on":[190,217],"reduction-scaling":[193],"operation":[194],"fuse":[196],"extracted":[198],"hierarchical":[199],"maps":[201],"final":[204],"reconstruction.":[205],"It":[206],"demonstrated":[208],"that":[209],"M3SN":[210],"outperforms":[211],"existing":[212],"extensive":[215],"experiments":[216],"four":[218],"publicly":[219],"available":[220],"hyperspectral":[221],"datasets.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2024-06-01T00:00:00"}
