{"id":"https://openalex.org/W4381686278","doi":"https://doi.org/10.3390/rs15133225","title":"Hyperspectral Super-Resolution Reconstruction Network Based on Hybrid Convolution and Spectral Symmetry Preservation","display_name":"Hyperspectral Super-Resolution Reconstruction Network Based on Hybrid Convolution and Spectral Symmetry Preservation","publication_year":2023,"publication_date":"2023-06-21","ids":{"openalex":"https://openalex.org/W4381686278","doi":"https://doi.org/10.3390/rs15133225"},"language":"en","primary_location":{"id":"doi:10.3390/rs15133225","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15133225","pdf_url":"https://www.mdpi.com/2072-4292/15/13/3225/pdf?version=1687867819","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/2072-4292/15/13/3225/pdf?version=1687867819","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062061199","display_name":"Lijing Bu","orcid":"https://orcid.org/0000-0002-7754-0617"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijing Bu","raw_affiliation_strings":["School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China"],"affiliations":[{"raw_affiliation_string":"School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102785638","display_name":"Dong Dai","orcid":"https://orcid.org/0000-0003-2291-3487"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dong Dai","raw_affiliation_strings":["School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China"],"affiliations":[{"raw_affiliation_string":"School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067621240","display_name":"Zhengpeng Zhang","orcid":"https://orcid.org/0000-0001-8388-6289"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengpeng Zhang","raw_affiliation_strings":["School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China"],"affiliations":[{"raw_affiliation_string":"School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024865406","display_name":"Yin Yang","orcid":"https://orcid.org/0000-0002-7435-152X"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Yang","raw_affiliation_strings":["National Center for Applied Mathematics in Hunan Laboratory, Xiangtan 411105, China","School of Mathematics and Computational Science, Xiangtan University, Xiangtan 411105, China"],"affiliations":[{"raw_affiliation_string":"National Center for Applied Mathematics in Hunan Laboratory, Xiangtan 411105, China","institution_ids":[]},{"raw_affiliation_string":"School of Mathematics and Computational Science, Xiangtan University, Xiangtan 411105, China","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039932931","display_name":"Mingjun Deng","orcid":"https://orcid.org/0000-0003-3869-6819"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjun Deng","raw_affiliation_strings":["School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China"],"affiliations":[{"raw_affiliation_string":"School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China","institution_ids":["https://openalex.org/I4610292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102785638"],"corresponding_institution_ids":["https://openalex.org/I4610292"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.4643,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84081633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"15","issue":"13","first_page":"3225","last_page":"3225"},"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/T10688","display_name":"Image and Signal Denoising Methods","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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9990000128746033,"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":0.946467936038971},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.732795774936676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6286289691925049},{"id":"https://openalex.org/keywords/spectral-resolution","display_name":"Spectral resolution","score":0.5869089961051941},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.5622999668121338},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.5505533218383789},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5463297367095947},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5046316385269165},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4699343144893646},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4472094476222992},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4188275933265686},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3460236191749573},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.26864975690841675},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22468629479408264},{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.14653274416923523},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1356109380722046}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.946467936038971},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.732795774936676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6286289691925049},{"id":"https://openalex.org/C124967146","wikidata":"https://www.wikidata.org/wiki/Q3457898","display_name":"Spectral resolution","level":3,"score":0.5869089961051941},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.5622999668121338},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.5505533218383789},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5463297367095947},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5046316385269165},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4699343144893646},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4472094476222992},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4188275933265686},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3460236191749573},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.26864975690841675},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22468629479408264},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.14653274416923523},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1356109380722046},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15133225","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15133225","pdf_url":"https://www.mdpi.com/2072-4292/15/13/3225/pdf?version=1687867819","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:767239414fff497c8db340f66e9ee830","is_oa":true,"landing_page_url":"https://doaj.org/article/767239414fff497c8db340f66e9ee830","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 13, p 3225 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/13/3225/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15133225","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 13; Pages: 3225","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15133225","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15133225","pdf_url":"https://www.mdpi.com/2072-4292/15/13/3225/pdf?version=1687867819","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":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4381686278.pdf"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W817971873","https://openalex.org/W1885185971","https://openalex.org/W1916874600","https://openalex.org/W1990231296","https://openalex.org/W2055225600","https://openalex.org/W2097259623","https://openalex.org/W2100109944","https://openalex.org/W2116240518","https://openalex.org/W2133665775","https://openalex.org/W2165709183","https://openalex.org/W2171108951","https://openalex.org/W2242218935","https://openalex.org/W2588000623","https://openalex.org/W2592312604","https://openalex.org/W2752716059","https://openalex.org/W2767522909","https://openalex.org/W2773850265","https://openalex.org/W2804744787","https://openalex.org/W2889211735","https://openalex.org/W2898062170","https://openalex.org/W2901422491","https://openalex.org/W2908833896","https://openalex.org/W2945242228","https://openalex.org/W2954930822","https://openalex.org/W2963372104","https://openalex.org/W2963729050","https://openalex.org/W2963820951","https://openalex.org/W2964140612","https://openalex.org/W2989259581","https://openalex.org/W3004845866","https://openalex.org/W3016106731","https://openalex.org/W3022107227","https://openalex.org/W3025440211","https://openalex.org/W3027120144","https://openalex.org/W3034552520","https://openalex.org/W3043719198","https://openalex.org/W3044477028","https://openalex.org/W3099608030","https://openalex.org/W3102745911","https://openalex.org/W3109953061","https://openalex.org/W3124125362","https://openalex.org/W3131679173","https://openalex.org/W3136032573","https://openalex.org/W4312553821","https://openalex.org/W4322731406","https://openalex.org/W4378175218","https://openalex.org/W4383002819","https://openalex.org/W6623043969","https://openalex.org/W6791641097"],"related_works":["https://openalex.org/W2911259277","https://openalex.org/W2024377932","https://openalex.org/W1978077614","https://openalex.org/W2889956472","https://openalex.org/W1982418987","https://openalex.org/W2799746630","https://openalex.org/W4390582117","https://openalex.org/W2020749638","https://openalex.org/W2090368006","https://openalex.org/W4399039444"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1,31,48,65,84],"(HSI)":[2],"have":[3],"high-dimensional":[4],"and":[5,79,119,164,177,197,227,243,249,266,272,291],"complex":[6],"spectral":[7,80,99,107,111,120,140,296],"characteristics,":[8],"with":[9],"dozens":[10],"or":[11],"even":[12],"hundreds":[13],"of":[14,20,25,42,63,82,113,174,298],"bands":[15,112,141,190],"covering":[16],"the":[17,26,40,60,90,98,103,158,169,194,198,215,221,230,234,239,253,257,262,295],"same":[18,170],"area":[19],"pixels.":[21],"The":[22,76,148,275],"rich":[23],"information":[24,78,81,108,137,184,204],"ground":[27],"objects":[28],"makes":[29],"hyperspectral":[30,47,64,83,114,128,200,217,223,299],"widely":[32],"used":[33,181],"in":[34,109,157,193,285],"satellite":[35,45],"remote":[36,43],"sensing.":[37],"Due":[38],"to":[39,58,73,135,142,161,182],"limitations":[41],"sensing":[44],"sensors,":[46],"suffer":[49],"from":[50,138,185],"insufficient":[51],"spatial":[52,61,77,91],"resolution.":[53],"Therefore,":[54],"utilizing":[55],"software":[56],"algorithms":[57,284],"improve":[59],"resolution":[62,92],"has":[66,124],"become":[67],"an":[68],"urgent":[69],"problem":[70],"that":[71,278],"needs":[72],"be":[74],"solved.":[75],"are":[85,191],"strongly":[86],"correlated.":[87],"If":[88],"only":[89],"is":[93,180,205],"improved,":[94],"it":[95],"often":[96],"damages":[97],"information.":[100,147],"Inspired":[101],"by":[102,207],"high":[104],"correlation":[105],"between":[106],"adjacent":[110],"images,":[115],"a":[116,133,172],"hybrid":[117],"convolution":[118,156,176],"symmetry":[121],"preservation":[122],"network":[123,159],"been":[125],"proposed":[126,149],"for":[127],"super-resolution":[129,232,255],"reconstruction.":[130],"This":[131],"includes":[132],"model":[134,150],"integrate":[136],"neighboring":[139,165],"supplement":[143],"target":[144],"band":[145,166],"feature":[146],"introduces":[151],"flexible":[152],"spatial-spectral":[153],"symmetric":[154],"3D":[155],"structure":[160],"extract":[162,183],"low-resolution":[163,186],"features.":[167],"At":[168],"time,":[171],"combination":[173],"deformable":[175],"attention":[178],"mechanisms":[179],"bands.":[187],"Finally,":[188],"multiple":[189],"fused":[192],"reconstruction":[195],"module,":[196],"high-resolution":[199],"image":[201,218],"containing":[202],"global":[203],"obtained":[206],"Fourier":[208],"transform":[209],"upsampling.":[210],"Experiments":[211],"were":[212,246,269],"conducted":[213],"on":[214,238,261],"indoor":[216],"dataset":[219,224],"CAVE,":[220,240,263],"airborne":[222],"Pavia":[225,241,264],"Center,":[226,242,265],"Chikusei.":[228],"In":[229,252],"X2":[231],"task,":[233,256],"PSNR":[235,258,290],"values":[236,259],"achieved":[237,260],"Chikusei":[244,267],"datasets":[245,268],"46.335,":[247],"36.321,":[248],"46.310,":[250],"respectively.":[251,274],"X4":[254],"41.218,":[270],"30.377,":[271],"38.365,":[273],"results":[276],"show":[277],"our":[279],"method":[280],"outperforms":[281],"many":[282],"advanced":[283],"objective":[286],"indicators":[287],"such":[288],"as":[289],"SSIM":[292],"while":[293],"maintaining":[294],"characteristics":[297],"images.":[300]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2026-01-21T23:30:37.877113","created_date":"2025-10-10T00:00:00"}