{"id":"https://openalex.org/W4413966806","doi":"https://doi.org/10.1016/j.eswa.2026.132497","title":"S2PW-Mamba: Pinwheel and Wavelet-based Spatial-Spectral Mamba for Hyperspectral Image Classification","display_name":"S2PW-Mamba: Pinwheel and Wavelet-based Spatial-Spectral Mamba for Hyperspectral Image Classification","publication_year":2025,"publication_date":"2025-09-03","ids":{"openalex":"https://openalex.org/W4413966806","doi":"https://doi.org/10.1016/j.eswa.2026.132497"},"language":"en","primary_location":{"id":"doi:10.1016/j.eswa.2026.132497","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.eswa.2026.132497","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.techrxiv.org/doi/pdf/10.36227/techrxiv.175693604.45516380/v1","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036534306","display_name":"Lianhui Liang","orcid":"https://orcid.org/0000-0001-6958-0443"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lianhui Liang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-6958-0443","affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Wanqi He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wanqi He","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101658227","display_name":"Ying Zhang","orcid":"https://orcid.org/0000-0002-3972-3316"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Yixuan Zeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yixuan Zeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Thomas Xinzhang Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Xinzhang Wu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Antonio Plaza","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antonio Plaza","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3220,"currency":"USD","value_usd":3220},"apc_paid":{"value":3220,"currency":"USD","value_usd":3220},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30960599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"324","issue":null,"first_page":"132497","last_page":"132497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.7919999957084656,"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":0.7919999957084656,"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":0.7946877479553223},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5912008285522461},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.33574867248535156},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3349205553531647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31531354784965515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2848712205886841},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.28398147225379944}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7946877479553223},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5912008285522461},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.33574867248535156},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3349205553531647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31531354784965515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2848712205886841},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.28398147225379944}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.eswa.2026.132497","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.eswa.2026.132497","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-article"},{"id":"doi:10.36227/techrxiv.175693604.45516380/v1","is_oa":true,"landing_page_url":"https://doi.org/10.36227/techrxiv.175693604.45516380/v1","pdf_url":"https://www.techrxiv.org/doi/pdf/10.36227/techrxiv.175693604.45516380/v1","source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Techrxiv","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.36227/techrxiv.175693604.45516380/v1","is_oa":true,"landing_page_url":"https://doi.org/10.36227/techrxiv.175693604.45516380/v1","pdf_url":"https://www.techrxiv.org/doi/pdf/10.36227/techrxiv.175693604.45516380/v1","source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Techrxiv","raw_type":"posted-content"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null},{"id":"https://openalex.org/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413966806.pdf","grobid_xml":"https://content.openalex.org/works/W4413966806.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2070598848","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Recently,":[0],"the":[1,10,71,77,82,89,106,110,114,129,172,176,179,194],"selective":[2],"structured":[3],"state":[4],"space":[5],"model":[6,180],"(S6)":[7],"built":[8],"upon":[9],"Mamba":[11,54],"architecture":[12],"has":[13],"attracted":[14],"widespread":[15],"attention":[16],"for":[17],"its":[18],"outstanding":[19],"performance":[20],"in":[21,36,60,81],"long-range":[22],"modeling.":[23],"However,":[24],"existing":[25,209],"Mamba-based":[26],"hyperspectral":[27],"image":[28],"(HSI)":[29],"classification":[30,47],"methods":[31],"suffer":[32],"from":[33,109],"certain":[34],"limitations":[35],"extracting":[37],"edge":[38,150],"information.":[39,93],"To":[40],"address":[41],"this":[42,61],"problem,":[43],"a":[44,121,156,160],"new":[45],"HSI":[46,83,202],"framework":[48],"called":[49],"Pinwheel":[50],"and":[51,116,133,151,159,189],"Wavelet-based":[52],"Spatial-Spectral":[53],"(S":[55],"2":[56,68,145],"PW-Mamba)":[57],"is":[58,70,124,181],"proposed":[59],"paper.":[62],"The":[63],"input":[64],"to":[65,87,104,126],"our":[66,143,206],"S":[67,144],"PW-Mamba":[69,146],"complete,":[72],"unsegmented":[73],"image,":[74],"which":[75],"preserves":[76],"correlation":[78],"between":[79],"pixels":[80],"while":[84],"leveraging":[85],"convolution":[86,158],"enhance":[88],"extraction":[90],"of":[91,131,183],"local":[92,190],"Specifically,":[94],"two":[95],"S6":[96,177],"modules":[97],"are":[98],"employed":[99],"along":[100],"different":[101],"scanning":[102,163],"directions":[103],"extract":[105],"spatial-spectral":[107],"features":[108,135,154],"HSI,":[111],"acting":[112],"on":[113,199],"spectral":[115,134,195],"spatial":[117,132,153,162],"domains,":[118],"respectively.":[119],"Meanwhile,":[120],"GateFusion":[122],"module":[123],"designed":[125],"adaptively":[127],"guide":[128],"fusion":[130],"by":[136,170],"discerning":[137],"their":[138],"relative":[139],"importance.":[140],"More":[141],"precisely,":[142],"first":[147],"extracts":[148],"both":[149,185],"central":[152],"using":[155],"Pinwheel-shaped":[157],"four-directional":[161],"module,":[164],"effectively":[165],"capturing":[166,184],"spatial-contextual":[167],"relationships.":[168],"Subsequently,":[169],"integrating":[171],"wavelet":[173],"transform":[174],"with":[175],"architecture,":[178],"capable":[182],"global":[186],"contextual":[187],"dependencies":[188],"texture":[191],"details":[192],"within":[193],"domain.":[196],"Comprehensive":[197],"experiments":[198],"three":[200],"benchmark":[201],"datasets":[203],"show":[204],"that":[205],"approach":[207],"outperforms":[208],"state-of-the-art":[210],"methods.":[211]},"counts_by_year":[],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}
