{"id":"https://openalex.org/W4384829291","doi":"https://doi.org/10.3390/rs15143603","title":"Thangka Hyperspectral Image Super-Resolution Based on a Spatial\u2013Spectral Integration Network","display_name":"Thangka Hyperspectral Image Super-Resolution Based on a Spatial\u2013Spectral Integration Network","publication_year":2023,"publication_date":"2023-07-19","ids":{"openalex":"https://openalex.org/W4384829291","doi":"https://doi.org/10.3390/rs15143603"},"language":"en","primary_location":{"id":"doi:10.3390/rs15143603","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15143603","pdf_url":"https://www.mdpi.com/2072-4292/15/14/3603/pdf?version=1689762008","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/14/3603/pdf?version=1689762008","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100417855","display_name":"Sai Wang","orcid":"https://orcid.org/0000-0003-3434-1578"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sai Wang","raw_affiliation_strings":["School of Geography, South China Normal University, Guangzhou 510631, China"],"affiliations":[{"raw_affiliation_string":"School of Geography, South China Normal University, Guangzhou 510631, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085862781","display_name":"Fenglei Fan","orcid":"https://orcid.org/0000-0001-6190-9072"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fenglei Fan","raw_affiliation_strings":["School of Geography, South China Normal University, Guangzhou 510631, China"],"affiliations":[{"raw_affiliation_string":"School of Geography, South China Normal University, Guangzhou 510631, China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085862781"],"corresponding_institution_ids":["https://openalex.org/I187400657"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.597,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68648204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"15","issue":"14","first_page":"3603","last_page":"3603"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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/T11659","display_name":"Advanced Image Fusion Techniques","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":0.9966999888420105,"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":0.9275178909301758},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6760835647583008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6131464838981628},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6052591800689697},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5479528903961182},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.47635626792907715},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.46825939416885376},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4601041078567505},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38668587803840637},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2954230308532715},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25047820806503296}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9275178909301758},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6760835647583008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6131464838981628},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6052591800689697},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5479528903961182},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.47635626792907715},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.46825939416885376},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4601041078567505},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38668587803840637},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2954230308532715},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25047820806503296}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15143603","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15143603","pdf_url":"https://www.mdpi.com/2072-4292/15/14/3603/pdf?version=1689762008","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f6bd24c29dd6426c80f2970d06f002dd","is_oa":true,"landing_page_url":"https://doaj.org/article/f6bd24c29dd6426c80f2970d06f002dd","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 14, p 3603 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/14/3603/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15143603","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 15; Issue 14; Pages: 3603","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15143603","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15143603","pdf_url":"https://www.mdpi.com/2072-4292/15/14/3603/pdf?version=1689762008","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.800000011920929}],"awards":[{"id":"https://openalex.org/G5181613253","display_name":null,"funder_award_id":"ZDPY2206","funder_id":"https://openalex.org/F4320321758","funder_display_name":"South China Normal University"},{"id":"https://openalex.org/G5625434284","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320324155","funder_display_name":"Liaocheng University"}],"funders":[{"id":"https://openalex.org/F4320321758","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72"},{"id":"https://openalex.org/F4320324155","display_name":"Liaocheng University","ror":"https://ror.org/03yh0n709"},{"id":"https://openalex.org/F4320327557","display_name":"National Office for Philosophy and Social Sciences","ror":"https://ror.org/04m0ms912"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4384829291.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W2025156180","https://openalex.org/W2048389433","https://openalex.org/W2055289219","https://openalex.org/W2106496585","https://openalex.org/W2127401436","https://openalex.org/W2133665775","https://openalex.org/W2133936247","https://openalex.org/W2157494358","https://openalex.org/W2159269332","https://openalex.org/W2160635556","https://openalex.org/W2214802144","https://openalex.org/W2342980088","https://openalex.org/W2503339013","https://openalex.org/W2524108718","https://openalex.org/W2598675171","https://openalex.org/W2766101120","https://openalex.org/W2789569109","https://openalex.org/W2792955223","https://openalex.org/W2802245680","https://openalex.org/W2893739000","https://openalex.org/W2894752812","https://openalex.org/W2898062170","https://openalex.org/W2906750674","https://openalex.org/W2949200686","https://openalex.org/W2962793481","https://openalex.org/W2963470893","https://openalex.org/W3091771023","https://openalex.org/W3096831136","https://openalex.org/W3097781638","https://openalex.org/W3136440239","https://openalex.org/W3172588088","https://openalex.org/W3175283070","https://openalex.org/W3176096490","https://openalex.org/W3177200386","https://openalex.org/W3179965609","https://openalex.org/W3199040267","https://openalex.org/W3210936700","https://openalex.org/W4225672218","https://openalex.org/W4226277663","https://openalex.org/W4230098700","https://openalex.org/W4256311484","https://openalex.org/W4297539435","https://openalex.org/W4312628443","https://openalex.org/W6797719664","https://openalex.org/W6803137121"],"related_works":["https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W1991437568","https://openalex.org/W2317401237","https://openalex.org/W1990800631","https://openalex.org/W2167120702","https://openalex.org/W2579567122","https://openalex.org/W2912065050","https://openalex.org/W2369060955"],"abstract_inverted_index":{"Thangka":[0,43,150,172],"refers":[1],"to":[2,27,58,84,106],"a":[3,10,73,118,145],"form":[4],"of":[5,32,42,148,171],"Tibetan":[6],"Buddhist":[7],"painting":[8],"on":[9,144],"fabric,":[11],"scroll,":[12],"or":[13,19],"Thangka,":[14],"often":[15],"depicting":[16],"deities,":[17],"scenes,":[18],"mandalas.":[20],"Deep-learning-based":[21],"super-resolution":[22,76],"techniques":[23],"have":[24],"been":[25],"applied":[26],"improve":[28],"the":[29,38,86,137,158,168],"spatial":[30,55,111,169],"resolution":[31,160],"hyperspectral":[33,91,163],"images":[34,92,164],"(HSIs),":[35],"especially":[36],"for":[37],"preservation":[39],"and":[40,64,101,109,112,128,152],"analysis":[41],"cultural":[44],"heritage.":[45],"However,":[46],"existing":[47],"CNN-based":[48],"methods":[49],"encounter":[50],"difficulties":[51],"in":[52,89,156,161],"effectively":[53,107],"preserving":[54,167],"information,":[56],"due":[57],"challenges":[59],"such":[60],"as":[61,131],"registration":[62],"errors":[63],"spectral":[65,87,113,159],"variability.":[66],"To":[67],"overcome":[68],"these":[69],"limitations,":[70],"we":[71,116],"present":[72],"novel":[74],"cross-sensor":[75],"(SR)":[77],"framework":[78],"that":[79,124],"utilizes":[80,96],"high-resolution":[81,162],"RGBs":[82],"(HR-RGBs)":[83],"enhance":[85],"features":[88,130],"low-resolution":[90],"(LR-HSIs).":[93],"Our":[94],"approach":[95],"spatial\u2013spectral":[97,102],"integration":[98],"(SSI)":[99],"blocks":[100,105],"restoration":[103],"(SSR)":[104],"integrate":[108],"reconstruct":[110],"features.":[114],"Furthermore,":[115],"introduce":[117],"frequency":[119,138],"multi-head":[120],"self-attention":[121,134],"(F-MSA)":[122],"mechanism":[123],"treats":[125],"high-,":[126],"medium-,":[127],"low-frequency":[129],"tokens,":[132],"enabling":[133],"computations":[135],"across":[136],"dimension.":[139],"We":[140],"evaluate":[141],"our":[142],"method":[143],"custom":[146],"dataset":[147],"ancient":[149],"paintings":[151],"demonstrate":[153],"its":[154],"effectiveness":[155],"enhancing":[157],"(HR-HSIs),":[165],"while":[166],"characteristics":[170],"artwork":[173],"with":[174],"minimal":[175],"information":[176],"loss.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2023-07-21T00:00:00"}