{"id":"https://openalex.org/W7131096194","doi":"https://doi.org/10.1007/s44443-026-00538-4","title":"WMM: noise-robust hyperspectral image classification via joint wavelet-manifold mamba framework","display_name":"WMM: noise-robust hyperspectral image classification via joint wavelet-manifold mamba framework","publication_year":2026,"publication_date":"2026-02-23","ids":{"openalex":"https://openalex.org/W7131096194","doi":"https://doi.org/10.1007/s44443-026-00538-4"},"language":"en","primary_location":{"id":"doi:10.1007/s44443-026-00538-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-026-00538-4","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s44443-026-00538-4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083814265","display_name":"Hongyu Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Xie","raw_affiliation_strings":["Changchun Institute of Optics, Fine Mechanics and Physics, Changchun, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun Institute of Optics, Fine Mechanics and Physics, Changchun, China","institution_ids":["https://openalex.org/I4210088164"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101724326","display_name":"Mengya Zhang","orcid":"https://orcid.org/0000-0002-1055-3528"},"institutions":[{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingle Zhang","raw_affiliation_strings":["Changchun Institute of Optics, Fine Mechanics and Physics, Changchun, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun Institute of Optics, Fine Mechanics and Physics, Changchun, China","institution_ids":["https://openalex.org/I4210088164"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126592608","display_name":"Huansong Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huansong Huang","raw_affiliation_strings":["Changchun Institute of Optics, Fine Mechanics and Physics, Changchun, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun Institute of Optics, Fine Mechanics and Physics, Changchun, China","institution_ids":["https://openalex.org/I4210088164"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126625177","display_name":"Mingyu Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyu Yang","raw_affiliation_strings":["Changchun Institute of Optics, Fine Mechanics and Physics, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun Institute of Optics, Fine Mechanics and Physics, Changchun, China","institution_ids":["https://openalex.org/I4210088164"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126617512","display_name":"Liang Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Xu","raw_affiliation_strings":["Changchun Institute of Optics, Fine Mechanics and Physics, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun Institute of Optics, Fine Mechanics and Physics, Changchun, China","institution_ids":["https://openalex.org/I4210088164"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101809093","display_name":"Qingbin Jiao","orcid":"https://orcid.org/0000-0002-4483-3915"},"institutions":[{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingbin Jiao","raw_affiliation_strings":["Changchun Institute of Optics, Fine Mechanics and Physics, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun Institute of Optics, Fine Mechanics and Physics, Changchun, China","institution_ids":["https://openalex.org/I4210088164"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126618341","display_name":"Xin Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Tan","raw_affiliation_strings":["Changchun Institute of Optics, Fine Mechanics and Physics, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun Institute of Optics, Fine Mechanics and Physics, Changchun, China","institution_ids":["https://openalex.org/I4210088164"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5126618341"],"corresponding_institution_ids":["https://openalex.org/I4210088164"],"apc_list":{"value":1350,"currency":"USD","value_usd":1350},"apc_paid":{"value":1350,"currency":"USD","value_usd":1350},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27829963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9545000195503235,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9545000195503235,"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":0.006899999920278788,"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":0.00559999980032444,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6611999869346619},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6431000232696533},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.628000020980835},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5902000069618225},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.510200023651123},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5029000043869019},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5001999735832214},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4474000036716461},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4269999861717224},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4221000075340271}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6611999869346619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6470000147819519},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6431000232696533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.641700029373169},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.628000020980835},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5902000069618225},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.510200023651123},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5029000043869019},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5001999735832214},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4474000036716461},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4269999861717224},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4221000075340271},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.3991999924182892},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.3756999969482422},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3695000112056732},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.34209999442100525},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.32280001044273376},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.31850001215934753},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.3165999948978424},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3131999969482422},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2962000072002411},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.2667999863624573},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C2776848632","wikidata":"https://www.wikidata.org/wiki/Q853463","display_name":"Clipping (morphology)","level":2,"score":0.25780001282691956},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2506999969482422},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44443-026-00538-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-026-00538-4","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f4be55b093714a56b3c284e5f87f9487","is_oa":true,"landing_page_url":"https://doaj.org/article/f4be55b093714a56b3c284e5f87f9487","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":"Journal of King Saud University: Computer and Information Sciences, Vol 38, Iss 4 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44443-026-00538-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-026-00538-4","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.740207314491272}],"awards":[{"id":"https://openalex.org/G2278840770","display_name":null,"funder_award_id":"42377037","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":33,"referenced_works":["https://openalex.org/W2007969993","https://openalex.org/W2162266621","https://openalex.org/W2614256707","https://openalex.org/W2767805377","https://openalex.org/W3049655825","https://openalex.org/W3155353888","https://openalex.org/W3196393328","https://openalex.org/W3204449597","https://openalex.org/W4213002774","https://openalex.org/W4281255185","https://openalex.org/W4385800872","https://openalex.org/W4390970939","https://openalex.org/W4399241440","https://openalex.org/W4400279352","https://openalex.org/W4401452846","https://openalex.org/W4403060848","https://openalex.org/W4404599510","https://openalex.org/W4407743067","https://openalex.org/W4407851760","https://openalex.org/W4408828937","https://openalex.org/W4409727181","https://openalex.org/W4410494796","https://openalex.org/W4410965061","https://openalex.org/W4412375139","https://openalex.org/W4412470931","https://openalex.org/W4412572445","https://openalex.org/W4412840901","https://openalex.org/W4413336467","https://openalex.org/W4413462594","https://openalex.org/W4413967146","https://openalex.org/W4415221989","https://openalex.org/W4416078380","https://openalex.org/W4416928990"],"related_works":[],"abstract_inverted_index":{"Hyperspectral":[0],"Images":[1],"(HSIs)":[2],"classification":[3,186],"plays":[4],"a":[5,66,78,104,140,146,158],"vital":[6],"role":[7],"in":[8,96,184],"precision":[9],"agriculture":[10],"and":[11,28,42,50,85,173],"environmental":[12],"monitoring.":[13],"However,":[14],"real-world":[15],"HSIs":[16],"is":[17,98,110],"frequently":[18],"degraded":[19],"by":[20],"complex":[21],"noise,":[22],"which":[23],"compromises":[24],"both":[25],"spectral":[26],"integrity":[27],"spatial":[29],"consistency.":[30],"Existing":[31],"deep":[32,79],"learning":[33],"(DL)":[34],"methods,":[35],"such":[36],"as":[37],"Convolutional":[38],"Neural":[39],"Networks":[40],"(CNNs)":[41],"Transformers,":[43],"often":[44],"face":[45],"trade-offs":[46],"between":[47,81],"noise":[48],"suppression":[49],"feature":[51,133],"preservation,":[52],"or":[53],"suffer":[54],"from":[55],"high":[56],"computational":[57],"costs.":[58],"To":[59],"address":[60],"these":[61],"challenges,":[62],"this":[63],"paper":[64],"proposes":[65],"noise-robust":[67,185],"framework":[68],"named":[69],"Wavelet-Manifold-Mamba":[70],"(WMM).":[71],"Unlike":[72],"straightforward":[73],"modular":[74],"concatenation,":[75],"WMM":[76,180],"establishes":[77],"coupling":[80],"physical-level":[82],"signal":[83],"restoration":[84],"geometric-level":[86],"manifold":[87,152],"alignment.":[88],"Specifically,":[89],"recognizing":[90],"that":[91,135,177],"the":[92,123,132,155,171,178],"recursive":[93],"state":[94],"propagation":[95],"Mamba":[97,142],"highly":[99],"sensitive":[100],"to":[101,113,130,149,162],"input":[102],"perturbations,":[103],"Multi-scale":[105],"Wavelet":[106],"Denoising":[107],"Block":[108,143],"(MWDB)":[109],"first":[111],"employed":[112],"suppress":[114],"high-frequency":[115],"artifacts":[116],"via":[117],"learnable":[118],"cross-frequency":[119],"attention,":[120],"thereby":[121],"stabilizing":[122],"token":[124],"sequence":[125],"for":[126],"subsequent":[127],"modeling.":[128],"Complementarily,":[129],"rectify":[131],"drift":[134],"persists":[136],"even":[137],"after":[138],"denoising,":[139],"Manifold-Regularized":[141],"(MRMB)":[144],"leverages":[145],"topological":[147],"loss":[148],"enforce":[150],"noise-invariant":[151],"embeddings.":[153],"Furthermore,":[154],"architecture":[156],"incorporates":[157],"selective":[159],"scanning":[160],"mechanism":[161],"capture":[163],"long-range":[164],"dependencies":[165],"with":[166],"linear":[167],"complexity.":[168],"Experiments":[169],"on":[170],"WHU-Hi":[172],"SZU-Tree":[174],"datasets":[175],"demonstrate":[176],"proposed":[179],"outperforms":[181],"state-of-the-art":[182],"methods":[183],"accuracy.":[187]},"counts_by_year":[],"updated_date":"2026-05-13T08:25:38.343686","created_date":"2026-02-24T00:00:00"}
