{"id":"https://openalex.org/W4366598231","doi":"https://doi.org/10.1080/17538947.2023.2202423","title":"MDvT: introducing mobile three-dimensional convolution to a vision transformer for hyperspectral image classification","display_name":"MDvT: introducing mobile three-dimensional convolution to a vision transformer for hyperspectral image classification","publication_year":2023,"publication_date":"2023-04-20","ids":{"openalex":"https://openalex.org/W4366598231","doi":"https://doi.org/10.1080/17538947.2023.2202423"},"language":"en","primary_location":{"id":"doi:10.1080/17538947.2023.2202423","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2023.2202423","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/17538947.2023.2202423","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102970106","display_name":"Xinyao Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyao Zhou","raw_affiliation_strings":["School of Geographical Sciences, Southwest University, Chongqing, People\u2019s Republic of China","School of Geographical Sciences, Southwest University, Chongqing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geographical Sciences, Southwest University, Chongqing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"School of Geographical Sciences, Southwest University, Chongqing, People's Republic of China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069308414","display_name":"Wenzuo Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenzuo Zhou","raw_affiliation_strings":["School of Geographical Sciences, Southwest University, Chongqing, People\u2019s Republic of China","School of Geographical Sciences, Southwest University, Chongqing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geographical Sciences, Southwest University, Chongqing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"School of Geographical Sciences, Southwest University, Chongqing, People's Republic of China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102970109","display_name":"Xiaoli Fu","orcid":"https://orcid.org/0000-0001-9136-9396"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoli Fu","raw_affiliation_strings":["School of Geographical Sciences, Southwest University, Chongqing, People\u2019s Republic of China","School of Geographical Sciences, Southwest University, Chongqing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geographical Sciences, Southwest University, Chongqing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"School of Geographical Sciences, Southwest University, Chongqing, People's Republic of China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008396609","display_name":"Yichen Hu","orcid":"https://orcid.org/0000-0002-0720-583X"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichen Hu","raw_affiliation_strings":["School of Geographical Sciences, Southwest University, Chongqing, People\u2019s Republic of China","School of Geographical Sciences, Southwest University, Chongqing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geographical Sciences, Southwest University, Chongqing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"School of Geographical Sciences, Southwest University, Chongqing, People's Republic of China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104127942","display_name":"Jinlian Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinlian Liu","raw_affiliation_strings":["View further author information"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"View further author information","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5069308414"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":{"value":2390,"currency":"USD","value_usd":2390},"apc_paid":{"value":2390,"currency":"USD","value_usd":2390},"fwci":4.6347,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.95317412,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"16","issue":"1","first_page":"1469","last_page":"1490"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9958999752998352,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9919999837875366,"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":0.7356944680213928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7256788015365601},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5246505737304688},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5178713798522949},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5043460130691528},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5026683807373047},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43050646781921387},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4272543787956238},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4079519510269165},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3309495151042938},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3217473328113556},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12888649106025696},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.10860967636108398},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10481059551239014}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7356944680213928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7256788015365601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5246505737304688},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5178713798522949},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5043460130691528},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5026683807373047},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43050646781921387},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4272543787956238},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4079519510269165},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3309495151042938},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3217473328113556},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12888649106025696},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.10860967636108398},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10481059551239014},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/17538947.2023.2202423","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2023.2202423","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a71005ea594a48dd873d7e7b7c4b4e53","is_oa":true,"landing_page_url":"https://doaj.org/article/a71005ea594a48dd873d7e7b7c4b4e53","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":"International Journal of Digital Earth, Vol 16, Iss 1, Pp 1469-1490 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/17538947.2023.2202423","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2023.2202423","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1591801644","https://openalex.org/W1799946925","https://openalex.org/W1928278792","https://openalex.org/W1950365613","https://openalex.org/W1971637299","https://openalex.org/W1983364832","https://openalex.org/W1990653740","https://openalex.org/W2001298023","https://openalex.org/W2059217921","https://openalex.org/W2100921418","https://openalex.org/W2136251662","https://openalex.org/W2316226477","https://openalex.org/W2500751094","https://openalex.org/W2519653196","https://openalex.org/W2614256707","https://openalex.org/W2772452219","https://openalex.org/W2796438033","https://openalex.org/W2895340641","https://openalex.org/W2896457183","https://openalex.org/W2899423466","https://openalex.org/W2904698365","https://openalex.org/W2908510526","https://openalex.org/W2923014074","https://openalex.org/W2963091558","https://openalex.org/W2963163009","https://openalex.org/W2981830988","https://openalex.org/W2991616716","https://openalex.org/W3006683367","https://openalex.org/W3012503967","https://openalex.org/W3036016333","https://openalex.org/W3043082011","https://openalex.org/W3046711384","https://openalex.org/W3047317383","https://openalex.org/W3049655825","https://openalex.org/W3103753223","https://openalex.org/W3114720220","https://openalex.org/W3121523901","https://openalex.org/W3128592650","https://openalex.org/W3128776197","https://openalex.org/W3131500599","https://openalex.org/W3132859298","https://openalex.org/W3133902755","https://openalex.org/W3138516171","https://openalex.org/W3140885850","https://openalex.org/W3163770455","https://openalex.org/W3201839010","https://openalex.org/W3203105104","https://openalex.org/W4214493665","https://openalex.org/W4240485910","https://openalex.org/W4285187901","https://openalex.org/W4302043355","https://openalex.org/W4319924581","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6791943378"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440","https://openalex.org/W2343470940"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1],"carry":[2],"numerous":[3],"spectral":[4,31],"bands,":[5],"and":[6,43,88,131,135,142],"their":[7],"wealth":[8],"of":[9,16,22,41,52,85,94,108,124,187],"band":[10],"data":[11,91,96],"is":[12,35,73,102,152,196],"a":[13,63,99],"valuable":[14],"source":[15],"information":[17,32],"for":[18],"the":[19,56,83,90,106,112,120,125,129,163,166,170,174,185,188,193],"accurate":[20],"classification":[21,121,140],"ground":[23],"objects.":[24],"Three-dimensional":[25],"(3D)":[26],"convolution,":[27],"although":[28],"an":[29,178],"excellent":[30],"extraction":[33],"method,":[34],"limited":[36],"by":[37,180],"its":[38],"huge":[39],"number":[40,84],"parameters":[42,87],"long":[44],"model":[45,86,113,143,194],"training":[46],"time.":[47],"To":[48,183],"allow":[49],"better":[50],"integration":[51],"3D":[53,68,160],"convolution":[54,161],"with":[55,146,157],"most":[57],"popular":[58],"transformer":[59,71,164],"models":[60],"currently":[61],"available,":[62],"new":[64],"architecture":[65,168],"called":[66],"mobile":[67],"convolutional":[69],"vision":[70],"(MDvT)":[72],"proposed.":[74],"The":[75],"MDvT":[76,127,167],"introduces":[77],"inverted":[78],"residual":[79],"structure":[80],"to":[81,104,110,176],"reduce":[82],"balance":[89],"mining":[92],"efficiency":[93],"low-dimensional":[95],"input.":[97],"Simultaneously,":[98],"square":[100],"patch":[101],"used":[103],"cut":[105],"sequence":[107],"tokens":[109],"accelerate":[111],"operation.":[114],"Through":[115],"extensive":[116],"experiments,":[117],"we":[118],"evaluated":[119],"overall":[122],"performance":[123],"proposed":[126],"on":[128],"WHU-Hi":[130],"Pavia":[132],"University":[133],"datasets,":[134],"demonstrated":[136],"significant":[137],"improvements":[138],"in":[139,190],"accuracy":[141,171],"runtime":[144],"compared":[145,156],"classical":[147],"deep":[148],"learning":[149],"models.":[150],"It":[151],"worth":[153],"noting":[154],"that":[155],"directly":[158],"integrating":[159],"into":[162],"model,":[165],"improves":[169],"while":[172],"reducing":[173],"time":[175],"train":[177],"epoch":[179],"approximately":[181],"58.54%.":[182],"facilitate":[184],"reproduction":[186],"work":[189],"this":[191],"paper,":[192],"code":[195],"available":[197],"at":[198],"https://github.com/gloryofroad/MDvT.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}