{"id":"https://openalex.org/W4308238079","doi":"https://doi.org/10.1109/icip46576.2022.9897603","title":"Rethinking Unified Spectral-Spatial-Based Hyperspectral Image Classification Under 3D Configuration of Vision Transformer","display_name":"Rethinking Unified Spectral-Spatial-Based Hyperspectral Image Classification Under 3D Configuration of Vision Transformer","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308238079","doi":"https://doi.org/10.1109/icip46576.2022.9897603"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897603","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-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/A5029724037","display_name":"Weilian Zhou","orcid":"https://orcid.org/0000-0002-2071-1489"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Weilian Zhou","raw_affiliation_strings":["Waseda University,Graduate School of Information, Production and Systems,Japan","Graduate School of Information, Production and Systems, Waseda University, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University,Graduate School of Information, Production and Systems,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Graduate School of Information, Production and Systems, Waseda University, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066452160","display_name":"Sei\u2010ichiro Kamata","orcid":"https://orcid.org/0000-0002-1496-2417"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sei-Ichiro Kamata","raw_affiliation_strings":["Waseda University,Graduate School of Information, Production and Systems,Japan","Graduate School of Information, Production and Systems, Waseda University, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University,Graduate School of Information, Production and Systems,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Graduate School of Information, Production and Systems, Waseda University, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014321050","display_name":"Zhengbo Luo","orcid":"https://orcid.org/0000-0003-1662-6166"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhengbo Luo","raw_affiliation_strings":["Waseda University,Graduate School of Information, Production and Systems,Japan","Graduate School of Information, Production and Systems, Waseda University, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University,Graduate School of Information, Production and Systems,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Graduate School of Information, Production and Systems, Waseda University, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112876306","display_name":"Xi Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xi Xue","raw_affiliation_strings":["Waseda University,Graduate School of Information, Production and Systems,Japan","Graduate School of Information, Production and Systems, Waseda University, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University,Graduate School of Information, Production and Systems,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Graduate School of Information, Production and Systems, Waseda University, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029724037"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":1.1983,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83061129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"711","last_page":"715"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9973000288009644,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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":0.8697043061256409},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7403971552848816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7004815936088562},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6080653071403503},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6029557585716248},{"id":"https://openalex.org/keywords/flowchart","display_name":"Flowchart","score":0.43453627824783325},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.42863789200782776},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4239060878753662},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19083839654922485}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8697043061256409},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7403971552848816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7004815936088562},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6080653071403503},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6029557585716248},{"id":"https://openalex.org/C72041958","wikidata":"https://www.wikidata.org/wiki/Q185092","display_name":"Flowchart","level":2,"score":0.43453627824783325},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.42863789200782776},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4239060878753662},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19083839654922485},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897603","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2029316659","https://openalex.org/W2278837653","https://openalex.org/W2609880332","https://openalex.org/W2765904812","https://openalex.org/W2767074788","https://openalex.org/W2767805377","https://openalex.org/W2782517596","https://openalex.org/W2793941577","https://openalex.org/W2803552875","https://openalex.org/W2884585870","https://openalex.org/W2888715336","https://openalex.org/W2942454403","https://openalex.org/W2963091558","https://openalex.org/W2971432438","https://openalex.org/W2989871747","https://openalex.org/W3006984222","https://openalex.org/W3040978759","https://openalex.org/W3094502228","https://openalex.org/W3128776197","https://openalex.org/W3134486524","https://openalex.org/W3165607318","https://openalex.org/W3171853541","https://openalex.org/W3203701986","https://openalex.org/W3214821343","https://openalex.org/W4205342161","https://openalex.org/W4210794570","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W2115906794","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W2109215547","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2131878319","https://openalex.org/W2404757046","https://openalex.org/W1992202691"],"abstract_inverted_index":{"Vision":[0],"Transformer":[1],"(ViT)":[2],"has":[3],"been":[4],"introduced":[5],"into":[6],"the":[7,64,81,102],"computer":[8],"vision":[9],"(CV)":[10],"field":[11],"with":[12,95,135],"its":[13],"self-attention":[14,41],"mechanism":[15],"to":[16],"capture":[17],"global":[18],"dependency.":[19],"However,":[20],"simply":[21],"deploying":[22],"ViT":[23,37,94],"on":[24],"a":[25,39,60,90,104],"hyperspectral":[26],"image":[27],"(HSI)":[28],"classification":[29,126],"task":[30],"can":[31,78,122,142],"not":[32,79,115],"get":[33,143],"satisfying":[34],"results":[35],"because":[36],"is":[38,110],"spatial-only":[40],"model,":[42],"but":[43],"rich":[44],"spectral":[45,55,68],"information":[46],"exists":[47],"in":[48,59],"HSI.":[49],"Moreover,":[50],"most":[51],"HSI":[52,138],"classifiers":[53],"integrate":[54],"and":[56,69,121],"spatial":[57,70],"features":[58],"cascaded":[61],"flowchart,":[62],"ignoring":[63],"internal":[65],"correlation":[66],"between":[67],"information.":[71],"Furthermore,":[72,133],"existing":[73,136],"positional":[74,99],"embedding":[75],"(PE)":[76],"methods":[77],"fulfil":[80],"3D":[82,93,97],"configuration":[83],"of":[84],"ViT.":[85],"Therefore,":[86],"this":[87],"paper":[88],"proposes":[89],"unified":[91],"spectral-spatial-based":[92],"cooperative":[96],"coordinate":[98],"embedding.":[100],"In":[101],"meanwhile,":[103],"novel":[105],"local-global":[106],"feature":[107],"fusion":[108],"strategy":[109],"proposed.":[111],"The":[112],"model":[113],"does":[114],"contain":[116],"convolution":[117],"or":[118],"recurrent":[119],"units":[120],"achieve":[123],"more":[124],"competitive":[125],"performance":[127],"than":[128],"other":[129],"state-of-the-art":[130],"(SOTA)":[131],"methods.":[132],"compared":[134],"ViT-based":[137],"classifiers,":[139],"our":[140],"concept":[141],"better":[144],"results.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}