{"id":"https://openalex.org/W7204136952","doi":"https://doi.org/10.3390/electronics15173768","title":"SSDM-Net: A Spatial\u2013Spectral Distillation Mamba Network for Hyperspectral Image Super-Resolution","display_name":"SSDM-Net: A Spatial\u2013Spectral Distillation Mamba Network for Hyperspectral Image Super-Resolution","publication_year":2026,"publication_date":"2026-08-22","ids":{"openalex":"https://openalex.org/W7204136952","doi":"https://doi.org/10.3390/electronics15173768"},"language":"en","primary_location":{"id":"doi:10.3390/electronics15173768","doi":"https://doi.org/10.3390/electronics15173768","is_oa":true,"landing_page_url":"https://doi.org/10.3390/electronics15173768","pdf_url":null,"source":{"id":"https://openalex.org/S4210202905","display_name":"Electronics","issn_l":"2079-9292","issn":["2079-9292"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-100","russia-white-list-2","vabb-shw"],"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":"Electronics","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W7204136952"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/electronics15173768","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5147939458","display_name":"Anjie Chen","orcid":"https://orcid.org/0009-0008-3786-882X","observed_orcids":["https://orcid.org/0009-0008-3786-882X"]},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anjie Chen","raw_affiliation_strings":["School of Electronic Information Engineering, China West Normal University, Nanchong 637009, China"],"raw_orcid":"https://orcid.org/0009-0008-3786-882X","affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, China West Normal University, Nanchong 637009, China","institution_ids":["https://openalex.org/I16351329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148012036","display_name":"Shunli Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunli Liu","raw_affiliation_strings":["School of Electronic Information Engineering, China West Normal University, Nanchong 637009, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, China West Normal University, Nanchong 637009, China","institution_ids":["https://openalex.org/I16351329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147941222","display_name":"Qiao Luo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiao Luo","raw_affiliation_strings":["School of Electronic Information Engineering, China West Normal University, Nanchong 637009, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, China West Normal University, Nanchong 637009, China","institution_ids":["https://openalex.org/I16351329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100301406","display_name":"Zhengyong Feng","orcid":"https://orcid.org/0009-0005-7291-1684","observed_orcids":["https://orcid.org/0009-0005-7291-1684"]},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhengyong Feng","raw_affiliation_strings":["School of Electronic Information Engineering, China West Normal University, Nanchong 637009, China"],"raw_orcid":"https://orcid.org/0009-0005-7291-1684","affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, China West Normal University, Nanchong 637009, China","institution_ids":["https://openalex.org/I16351329"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101975704","display_name":"Weichao Yang","orcid":"https://orcid.org/0009-0006-5776-8880","observed_orcids":["https://orcid.org/0009-0006-5776-8880","https://orcid.org/0009-0009-9905-8993"]},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weichao Yang","raw_affiliation_strings":["School of Electronic Information Engineering, China West Normal University, Nanchong 637009, China"],"raw_orcid":"https://orcid.org/0009-0009-9905-8993","affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, China West Normal University, Nanchong 637009, China","institution_ids":["https://openalex.org/I16351329"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100301406","https://openalex.org/A5101975704"],"corresponding_institution_ids":["https://openalex.org/I16351329"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2896},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2896},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":"17","first_page":"3768","last_page":"3768"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.8637999892234802,"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":0.8637999892234802,"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":0.06279999762773514,"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":0.029999999329447746,"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-image-super-resolution","display_name":"hyperspectral image super-resolution","score":1.0},{"id":"https://openalex.org/keywords/knowledge-distillation","display_name":"knowledge distillation","score":0.9100000262260437},{"id":"https://openalex.org/keywords/mamba","display_name":"Mamba","score":0.7620000243186951},{"id":"https://openalex.org/keywords/selective-scanning","display_name":"selective scanning","score":0.6949999928474426},{"id":"https://openalex.org/keywords/spectral-spatial-feature-extraction","display_name":"spectral-spatial feature extraction","score":0.6589999794960022},{"id":"https://openalex.org/keywords/auxiliary-branch","display_name":"auxiliary branch","score":0.8629999756813049},{"id":"https://openalex.org/keywords/dynamic-loss-weighting","display_name":"dynamic loss weighting","score":0.9200000166893005},{"id":"https://openalex.org/keywords/spectral-distortion","display_name":"spectral distortion","score":0.6420000195503235},{"id":"https://openalex.org/keywords/cross-dataset-generalization","display_name":"cross-dataset generalization","score":0.8600000143051147}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8525999784469604},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7077000141143799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.695900022983551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6086999773979187},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5949000120162964},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5613999962806702},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5062000155448914},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45239999890327454},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.44850000739097595},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43380001187324524},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4219000041484833},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.37549999356269836},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.364300012588501},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.35910001397132874},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.34529998898506165},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C158709400","wikidata":"https://www.wikidata.org/wiki/Q3578586","display_name":"Spatial ecology","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C70136482","wikidata":"https://www.wikidata.org/wiki/Q13583781","display_name":"A-weighting","level":3,"score":0.2849999964237213},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2583000063896179}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/electronics15173768","doi":"https://doi.org/10.3390/electronics15173768","is_oa":true,"landing_page_url":"https://doi.org/10.3390/electronics15173768","pdf_url":null,"source":{"id":"https://openalex.org/S4210202905","display_name":"Electronics","issn_l":"2079-9292","issn":["2079-9292"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-100","russia-white-list-2","vabb-shw"],"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":"Electronics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/electronics15173768","doi":"https://doi.org/10.3390/electronics15173768","is_oa":true,"landing_page_url":"https://doi.org/10.3390/electronics15173768","pdf_url":null,"source":{"id":"https://openalex.org/S4210202905","display_name":"Electronics","issn_l":"2079-9292","issn":["2079-9292"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-100","russia-white-list-2","vabb-shw"],"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":"Electronics","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G419004247","display_name":null,"funder_award_id":"2024JDKP0153","funder_id":"https://openalex.org/F4320322922","funder_display_name":"Department of Science and Technology of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320322922","display_name":"Department of Science and Technology of Sichuan Province","ror":"https://ror.org/04323m874"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2010319424","https://openalex.org/W2012946078","https://openalex.org/W2064076387","https://openalex.org/W2100109944","https://openalex.org/W2121058967","https://openalex.org/W2133665775","https://openalex.org/W2887695188","https://openalex.org/W2898062170","https://openalex.org/W2947295162","https://openalex.org/W2961290969","https://openalex.org/W3025440211","https://openalex.org/W3027120144","https://openalex.org/W3033214016","https://openalex.org/W3039186706","https://openalex.org/W3099239430","https://openalex.org/W3165892790","https://openalex.org/W4226328078","https://openalex.org/W4294663621","https://openalex.org/W4312916358","https://openalex.org/W4376891139","https://openalex.org/W4381617366","https://openalex.org/W4383495986","https://openalex.org/W4388807037","https://openalex.org/W4390873790","https://openalex.org/W4401673408","https://openalex.org/W4401836300","https://openalex.org/W4402952320","https://openalex.org/W4406890763","https://openalex.org/W4408352222","https://openalex.org/W4409762837","https://openalex.org/W4410119465","https://openalex.org/W4410616640","https://openalex.org/W4413832432","https://openalex.org/W4414165874","https://openalex.org/W4414360611","https://openalex.org/W4414360675","https://openalex.org/W4415101750","https://openalex.org/W4416251293","https://openalex.org/W7127974120","https://openalex.org/W7128534616","https://openalex.org/W7131659541","https://openalex.org/W7163923340"],"related_works":["https://openalex.org/W7128421916","https://openalex.org/W4410119465","https://openalex.org/W4205923348","https://openalex.org/W7164989164","https://openalex.org/W4415607795","https://openalex.org/W7222971262","https://openalex.org/W4384026595","https://openalex.org/W2945242228","https://openalex.org/W7162534904","https://openalex.org/W3165892790"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"super-resolution":[2],"(HSI":[3],"SR)":[4],"focuses":[5],"on":[6,185,211],"enhancing":[7],"the":[8,85,107,113,118,131,154,159,186,212,218,226],"spatial":[9,28,79,86,141],"resolution":[10],"of":[11],"HSIs":[12],"while":[13],"preserving":[14],"their":[15],"inherent":[16],"spectral":[17,31,81,88,102],"information.":[18],"Existing":[19],"single-image":[20],"HSI":[21,65,206],"SR":[22,207],"methods":[23],"still":[24],"suffer":[25],"from":[26],"blurred":[27],"edges":[29],"and":[30,73,80,87,100,142,177,188],"distortion.":[32],"Although":[33],"numerous":[34],"spatial\u2013spectral":[35,40,108,136],"enhancement":[36,138],"networks":[37],"can":[38,220],"enhance":[39],"feature":[41,160],"extraction,":[42],"they":[43],"often":[44],"lead":[45],"to":[46,112,173],"a":[47,57,69,134,166],"cumbersome":[48],"network":[49],"architecture.":[50],"To":[51],"address":[52],"these":[53],"issues,":[54],"we":[55],"propose":[56],"Spatial\u2013Spectral":[58],"Distillation":[59],"Mamba":[60],"Network,":[61],"called":[62],"SSDM-Net,":[63],"for":[64,78],"SR,":[66],"which":[67,91],"contains":[68],"main":[70,114,132],"reconstruction":[71,124,201,223],"branch":[72],"two":[74],"training-only":[75],"auxiliary":[76,89,119,178],"branches":[77,120],"knowledge":[82,109],"distillation.":[83],"Specifically,":[84],"branches,":[90],"are":[92,121,162],"utilized":[93],"exclusively":[94],"during":[95,180],"training,":[96,106],"provide":[97],"edge-aware":[98],"guidance":[99],"capture":[101],"correlations,":[103],"respectively.":[104],"During":[105,116],"is":[110,151,171],"transferred":[111],"branch.":[115],"inference,":[117],"removed,":[122],"improving":[123],"quality":[125],"without":[126],"extra":[127],"computational":[128],"burden.":[129],"In":[130,164],"branch,":[133],"Mamba-based":[135],"global":[137],"module":[139],"processes":[140],"latent":[143],"inter-channel":[144],"sequences":[145],"using":[146],"selective":[147],"scanning":[148],"whose":[149],"cost":[150],"linear":[152],"in":[153],"processed":[155],"sequence":[156],"lengths":[157],"when":[158],"dimensions":[161],"fixed.":[163],"addition,":[165],"dynamic":[167],"loss":[168],"weighting":[169],"strategy":[170],"developed":[172],"balance":[174],"reconstruction,":[175],"distillation,":[176],"losses":[179],"optimization.":[181],"Comprehensive":[182],"experiments":[183,210],"conducted":[184],"CAVE":[187],"Houston":[189],"datasets":[190],"with":[191],"three":[192],"scale":[193],"factors":[194],"demonstrate":[195],"that":[196,217],"SSDM-Net":[197],"produces":[198],"more":[199],"accurate":[200],"results":[202],"than":[203],"existing":[204],"representative":[205],"methods.":[208],"Cross-dataset":[209],"Harvard":[213],"dataset":[214],"further":[215],"suggest":[216],"method":[219],"maintain":[221],"competitive":[222],"performance":[224],"under":[225],"evaluated":[227],"cross-dataset":[228],"settings.":[229]},"counts_by_year":[],"updated_date":"2026-09-25T08:18:29.962427","created_date":"2026-08-25T00:00:00"}
