{"id":"https://openalex.org/W4414249249","doi":"https://doi.org/10.3390/e27090959","title":"Reconstructing Hyperspectral Images from RGB Images by Multi-Scale Spectral\u2013Spatial Sequence Learning","display_name":"Reconstructing Hyperspectral Images from RGB Images by Multi-Scale Spectral\u2013Spatial Sequence Learning","publication_year":2025,"publication_date":"2025-09-15","ids":{"openalex":"https://openalex.org/W4414249249","doi":"https://doi.org/10.3390/e27090959","pmid":"https://pubmed.ncbi.nlm.nih.gov/41008085"},"language":"en","primary_location":{"id":"doi:10.3390/e27090959","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27090959","pdf_url":"https://www.mdpi.com/1099-4300/27/9/959/pdf?version=1757944759","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/27/9/959/pdf?version=1757944759","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008633913","display_name":"Wenjing Chen","orcid":"https://orcid.org/0000-0003-3878-7681"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjing Chen","raw_affiliation_strings":["Hubei Provincial Key Laboratory of Green Intelligent Computing Power Network, Hubei University of Technology, Wuhan 430068, China","School of Computer Science, Hubei University of Technology, Wuhan 430068, China"],"raw_orcid":"https://orcid.org/0000-0003-3878-7681","affiliations":[{"raw_affiliation_string":"Hubei Provincial Key Laboratory of Green Intelligent Computing Power Network, Hubei University of Technology, Wuhan 430068, China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan 430068, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371605","display_name":"Lang Li\u00fc","orcid":"https://orcid.org/0000-0002-0297-9633"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lang Liu","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan 430068, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan 430068, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052869008","display_name":"Rong Gao","orcid":"https://orcid.org/0000-0001-7935-7173"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rong Gao","raw_affiliation_strings":["Hubei Provincial Key Laboratory of Green Intelligent Computing Power Network, Hubei University of Technology, Wuhan 430068, China","School of Computer Science, Hubei University of Technology, Wuhan 430068, China"],"raw_orcid":"https://orcid.org/0000-0001-7935-7173","affiliations":[{"raw_affiliation_string":"Hubei Provincial Key Laboratory of Green Intelligent Computing Power Network, Hubei University of Technology, Wuhan 430068, China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan 430068, China","institution_ids":["https://openalex.org/I74525822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5052869008"],"corresponding_institution_ids":["https://openalex.org/I74525822"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":0.5419,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6994001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"27","issue":"9","first_page":"959","last_page":"959"},"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":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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":0.7954000234603882},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6123999953269958},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.570900022983551},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.49459999799728394},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48829999566078186},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47839999198913574},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.42800000309944153}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7954000234603882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7409999966621399},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7318000197410583},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6123999953269958},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.570900022983551},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.49459999799728394},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48829999566078186},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47839999198913574},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.42800000309944153},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4246000051498413},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.41990000009536743},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41609999537467957},{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.33469998836517334},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.2563000023365021}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e27090959","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27090959","pdf_url":"https://www.mdpi.com/1099-4300/27/9/959/pdf?version=1757944759","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},{"id":"pmid:41008085","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41008085","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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:89f35e8d041d4c4092fca8ac7c930ede","is_oa":true,"landing_page_url":"https://doaj.org/article/89f35e8d041d4c4092fca8ac7c930ede","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":"Entropy, Vol 27, Iss 9, p 959 (2025)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:11277848","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12468563","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:12468563","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12468563/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e27090959","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27090959","pdf_url":"https://www.mdpi.com/1099-4300/27/9/959/pdf?version=1757944759","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8574934902","display_name":null,"funder_award_id":"42401473","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":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414249249.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W2100109944","https://openalex.org/W2242218935","https://openalex.org/W2520430674","https://openalex.org/W2766101120","https://openalex.org/W2766419681","https://openalex.org/W2893739000","https://openalex.org/W2947295162","https://openalex.org/W2958699286","https://openalex.org/W2963947695","https://openalex.org/W2987250212","https://openalex.org/W3035556176","https://openalex.org/W3035598238","https://openalex.org/W3085794209","https://openalex.org/W3138516171","https://openalex.org/W3163663634","https://openalex.org/W3170203937","https://openalex.org/W3171125843","https://openalex.org/W3188607452","https://openalex.org/W3195162645","https://openalex.org/W3202310860","https://openalex.org/W3210739020","https://openalex.org/W4224294196","https://openalex.org/W4225484420","https://openalex.org/W4294310684","https://openalex.org/W4362500662","https://openalex.org/W4366753174","https://openalex.org/W4386075678","https://openalex.org/W4386083034","https://openalex.org/W4387449263","https://openalex.org/W4393906060","https://openalex.org/W4395029161","https://openalex.org/W4399521968","https://openalex.org/W4400617944","https://openalex.org/W4400810737","https://openalex.org/W4400903546","https://openalex.org/W4401070681","https://openalex.org/W4401943624","https://openalex.org/W4402952320","https://openalex.org/W4403022269","https://openalex.org/W4403863621","https://openalex.org/W4404687897","https://openalex.org/W4404836673","https://openalex.org/W4406172284","https://openalex.org/W4406457474","https://openalex.org/W4407737508","https://openalex.org/W4408352122","https://openalex.org/W7076050040"],"related_works":[],"abstract_inverted_index":{"With":[0],"rapid":[1],"advancements":[2],"in":[3,43,51,106],"transformers,":[4],"the":[5,87,114,175,182],"reconstruction":[6],"of":[7,86,184],"hyperspectral":[8,67,170],"images":[9,68],"from":[10,69],"RGB":[11,70],"images,":[12],"also":[13],"known":[14],"as":[15],"spectral":[16],"super-resolution":[17],"(SSR),":[18],"has":[19,39],"made":[20],"significant":[21],"breakthroughs.":[22],"However,":[23],"existing":[24],"transformer-based":[25],"methods":[26],"often":[27],"struggle":[28],"to":[29,81,102,135],"balance":[30],"computational":[31],"efficiency":[32],"with":[33],"long-range":[34,45],"receptive":[35],"fields.":[36],"Recently,":[37],"Mamba":[38,89],"demonstrated":[40],"linear":[41],"complexity":[42],"modeling":[44],"dependencies":[46],"and":[47,138,163,178],"shown":[48],"broad":[49],"applicability":[50],"vision":[52],"tasks.":[53],"This":[54,153],"paper":[55],"proposes":[56],"a":[57,75,94,132,168],"multi-scale":[58,109,115],"spectral-spatial":[59,77],"sequence":[60,95],"learning":[61,108],"method,":[62],"named":[63],"MSS-Mamba,":[64],"for":[65],"reconstructing":[66,167],"images.":[71],"First,":[72],"we":[73,92,112],"introduce":[74],"continuous":[76],"scan":[78],"(CS3)":[79],"mechanism":[80],"improve":[82],"cross-dimensional":[83],"feature":[84,155],"extraction":[85],"foundational":[88],"model.":[90],"Second,":[91],"propose":[93],"tokenization":[96],"strategy":[97],"that":[98,149,157],"generates":[99,150],"multi-scale-aware":[100],"sequences":[101,123],"overcome":[103],"Mamba's":[104],"limitations":[105],"hierarchically":[107],"information.":[110],"Specifically,":[111],"design":[113],"information":[116,140,162],"fusion":[117],"(MIF)":[118],"module,":[119],"which":[120],"tokenizes":[121],"input":[122],"before":[124],"feeding":[125],"them":[126],"into":[127],"Mamba.":[128],"The":[129],"MIF":[130],"employs":[131],"dual-branch":[133],"architecture":[134],"process":[136],"global":[137,160],"local":[139,164],"separately,":[141],"dynamically":[142],"fusing":[143],"features":[144],"through":[145],"an":[146],"adaptive":[147],"router":[148],"weighting":[151],"coefficients.":[152],"produces":[154],"maps":[156],"contain":[158],"both":[159],"contextual":[161],"details,":[165],"ultimately":[166],"high-fidelity":[169],"image.":[171],"Experimental":[172],"results":[173],"on":[174],"ARAD_1k,":[176],"CAVE":[177],"grss_dfc_2018":[179],"dataset":[180],"demonstrate":[181],"performance":[183],"MSS-Mamba.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
