{"id":"https://openalex.org/W4404132619","doi":"https://doi.org/10.1109/tgrs.2024.3493387","title":"H2MWSTNet: A Hybrid Hierarchical Multigranularity Window Shift Transformer Network for Hyperspectral Image Classification","display_name":"H2MWSTNet: A Hybrid Hierarchical Multigranularity Window Shift Transformer Network for Hyperspectral Image Classification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404132619","doi":"https://doi.org/10.1109/tgrs.2024.3493387"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3493387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3493387","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003373281","display_name":"Linshan Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linshan Zhong","raw_affiliation_strings":["School of Computer Science and Technology, Xinjiang University, Ürümqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xinjiang University, Ürümqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038160921","display_name":"Shuli Cheng","orcid":"https://orcid.org/0000-0003-4759-0282"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuli Cheng","raw_affiliation_strings":["School of Computer Science and Technology, Xinjiang University, Ürümqi, China"],"raw_orcid":"https://orcid.org/0000-0003-4759-0282","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xinjiang University, Ürümqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081489939","display_name":"Liejun Wang","orcid":"https://orcid.org/0000-0003-0210-2273"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liejun Wang","raw_affiliation_strings":["School of Computer Science and Technology, Xinjiang University, Ürümqi, China"],"raw_orcid":"https://orcid.org/0000-0003-0210-2273","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xinjiang University, Ürümqi, China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":0.3334,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60334853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9897000193595886,"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":0.9897000193595886,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8685933351516724},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.558578610420227},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.502065896987915},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4718097448348999},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4659733772277832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45658889412879944},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.41516488790512085},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3953331708908081},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32807832956314087},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31827014684677124},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13077205419540405},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08067595958709717}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8685933351516724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.558578610420227},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.502065896987915},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4718097448348999},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4659733772277832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45658889412879944},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.41516488790512085},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3953331708908081},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32807832956314087},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31827014684677124},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13077205419540405},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08067595958709717},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3493387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3493387","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5737550843","display_name":null,"funder_award_id":"2022ZD0115800","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G6139635593","display_name":null,"funder_award_id":"XJ2024G086","funder_id":"https://openalex.org/F4320330373","funder_display_name":"Research and Innovation in Science and Technology Project"}],"funders":[{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null},{"id":"https://openalex.org/F4320330373","display_name":"Research and Innovation in Science and Technology Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1521436688","https://openalex.org/W2546696642","https://openalex.org/W2764276316","https://openalex.org/W2777427437","https://openalex.org/W2882394250","https://openalex.org/W2898381489","https://openalex.org/W2914331134","https://openalex.org/W2971432438","https://openalex.org/W2991494819","https://openalex.org/W2991616716","https://openalex.org/W3031696400","https://openalex.org/W3125860323","https://openalex.org/W3179652040","https://openalex.org/W3187800423","https://openalex.org/W3194751550","https://openalex.org/W3214821343","https://openalex.org/W4210794570","https://openalex.org/W4220853886","https://openalex.org/W4240485910","https://openalex.org/W4280563105","https://openalex.org/W4286373942","https://openalex.org/W4294310053","https://openalex.org/W4296339430","https://openalex.org/W4312678416","https://openalex.org/W4313007769","https://openalex.org/W4313524854","https://openalex.org/W4319069095","https://openalex.org/W4319303918","https://openalex.org/W4321601151","https://openalex.org/W4362690177","https://openalex.org/W4364323060","https://openalex.org/W4372054869","https://openalex.org/W4379116660","https://openalex.org/W4382118993","https://openalex.org/W4384519088","https://openalex.org/W4385308856","https://openalex.org/W4385336589","https://openalex.org/W4385819914","https://openalex.org/W4386918729","https://openalex.org/W4388739256","https://openalex.org/W4388757380","https://openalex.org/W4388838755","https://openalex.org/W4389776891","https://openalex.org/W4390204423","https://openalex.org/W4390480870","https://openalex.org/W4390659362","https://openalex.org/W4391547543","https://openalex.org/W4391661462","https://openalex.org/W4391953355","https://openalex.org/W4392450175","https://openalex.org/W4392903274","https://openalex.org/W4394711567","https://openalex.org/W4395017736","https://openalex.org/W4396598495"],"related_works":["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/W2044184146","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W3034864990"],"abstract_inverted_index":{"Currently,":[0],"hybrid":[1,24,55,205],"network":[2,61],"models":[3,25],"combining":[4],"convolutional":[5],"neural":[6],"networks":[7],"(CNNs)":[8],"and":[9,34,42,70,107,159,177,189,216,230],"Transformers":[10],"have":[11,112],"garnered":[12],"significant":[13],"interest":[14],"among":[15],"researchers":[16],"in":[17,75,209],"hyperspectral":[18],"image":[19],"(HSI)":[20],"classification.":[21],"However,":[22],"some":[23],"only":[26],"consider":[27],"the":[28,37,43,92,102,123,126,145,149,186,231,237],"combination":[29],"of":[30,94,104,125,151],"a":[31,54,80,114,135,163,171,194,210],"single-branch":[32],"CNN":[33],"Transformer,":[35],"neglecting":[36],"shallow":[38],"multiscale":[39,67],"spatial-spectral":[40,68,95],"information":[41,69,74,96],"deeper":[44],"local":[45,72,154],"spatial":[46,73,83,106,155],"information.":[47],"To":[48],"address":[49],"these":[50],"issues,":[51],"we":[52,78,111,133,191],"propose":[53,134],"hierarchical":[56,211],"multigranularity":[57,136,178,195],"window":[58,137,179,196],"shift":[59,138,180,197],"transformer":[60,198],"(H2MWSTNet),":[62],"which":[63,142],"can":[64],"efficiently":[65],"extract":[66],"capture":[71],"sequences.":[76,129],"Specifically,":[77],"construct":[79],"new":[81],"dual-branch":[82],"spectral":[84,108],"convolution":[85],"(DBSSC)":[86],"block.":[87,201],"The":[88,157],"block":[89],"effectively":[90,121,213],"realizes":[91],"fusion":[93],"at":[97],"different":[98],"scales":[99],"by":[100],"aggregating":[101],"outputs":[103],"both":[105],"branches.":[109],"Furthermore,":[110],"designed":[113,208],"global":[115],"feature":[116,168,172],"enhancement":[117],"(GFE)":[118],"module":[119],"that":[120,234],"enhances":[122],"features":[124],"input":[127],"token":[128],"Along":[130],"with":[131],"GFE,":[132],"attention":[139,181],"(MWSA)":[140],"module,":[141],"dynamically":[143],"shifts":[144],"key":[146],"matrix,":[147],"enhancing":[148],"distinguishability":[150],"deeply":[152],"extracted":[153],"features.":[156],"GFE":[158,176],"MWSA":[160],"modules":[161],"provide":[162],"novel":[164],"perspective":[165],"for":[166],"HSI":[167,228],"extraction,":[169],"constituting":[170],"mixer":[173],"based":[174],"on":[175,185,225],"(GMSA)":[182],"module.":[183],"Building":[184],"generic":[187],"architecture":[188],"GMSA,":[190],"further":[192],"developed":[193],"(MWSFormer)":[199],"encoder":[200],"Finally,":[202],"our":[203],"CNN-Transformer":[204],"model":[206],"is":[207],"fashion,":[212],"reducing":[214],"dimensionality":[215],"markedly":[217],"improving":[218],"classification":[219,240],"accuracy.":[220],"We":[221],"conducted":[222],"extensive":[223],"experiments":[224],"six":[226],"public":[227],"datasets,":[229],"results":[232],"demonstrate":[233],"H2MWSTNet":[235],"outperforms":[236],"most":[238],"advanced":[239],"algorithms.":[241]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}