{"id":"https://openalex.org/W4381163482","doi":"https://doi.org/10.1109/lgrs.2023.3287277","title":"Hybrid Conv-ViT Network for Hyperspectral Image Classification","display_name":"Hybrid Conv-ViT Network for Hyperspectral Image Classification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4381163482","doi":"https://doi.org/10.1109/lgrs.2023.3287277"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3287277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3287277","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5101828551","display_name":"Huaiping Yan","orcid":"https://orcid.org/0000-0003-3512-2510"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]},{"id":"https://openalex.org/I4210146051","display_name":"Anyang Institute of Technology","ror":"https://ror.org/03sd3t490","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210146051"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaiping Yan","raw_affiliation_strings":["School of Information Science and Technology, Northwest University, Xi’an, China","Anyang Institute of Technology, Anyang, China"],"raw_orcid":"https://orcid.org/0000-0003-3512-2510","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, Xi’an, China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"Anyang Institute of Technology, Anyang, China","institution_ids":["https://openalex.org/I4210146051"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086988401","display_name":"Erlei Zhang","orcid":"https://orcid.org/0000-0002-3408-1932"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Erlei Zhang","raw_affiliation_strings":["College of Information Engineering, Northwest A&F University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-3408-1932","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Northwest A&F University, Xi’an, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100774416","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-5717-1914"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["School of Information Science and Technology, Northwest University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-5717-1914","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, Xi’an, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004032587","display_name":"Chengcai Leng","orcid":"https://orcid.org/0000-0003-4535-5430"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengcai Leng","raw_affiliation_strings":["School of Mathematics, Northwest University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-4535-5430","affiliations":[{"raw_affiliation_string":"School of Mathematics, Northwest University, Xi’an, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054810403","display_name":"Anup Basu","orcid":"https://orcid.org/0000-0002-7695-4148"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Anup Basu","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, Canada","Department of Computing Science, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":"https://orcid.org/0000-0002-7695-4148","affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110371318","display_name":"Jinye Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinye Peng","raw_affiliation_strings":["School of Information Science and Technology, Northwest University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, Xi’an, China","institution_ids":["https://openalex.org/I37802460"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.568,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.93623786,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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":0.9947999715805054,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9927999973297119,"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/computer-science","display_name":"Computer science","score":0.7181484699249268},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7007822394371033},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6639883518218994},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6474391222000122},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5949867963790894},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5261618494987488},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4893743395805359},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4700281322002411},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.42185020446777344},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41249895095825195},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2425166368484497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7181484699249268},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7007822394371033},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6639883518218994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6474391222000122},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5949867963790894},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5261618494987488},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4893743395805359},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4700281322002411},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.42185020446777344},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41249895095825195},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2425166368484497},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3287277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3287277","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1761034735","display_name":null,"funder_award_id":"2021ZDLGY15-06","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G2817630070","display_name":null,"funder_award_id":"62006188","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4493066537","display_name":null,"funder_award_id":"62101446","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4508564999","display_name":null,"funder_award_id":"IRT_17R87","funder_id":"https://openalex.org/F4320338204","funder_display_name":"Program for Changjiang Scholars and Innovative Research Team in University"},{"id":"https://openalex.org/G8475701055","display_name":null,"funder_award_id":"2452022341","funder_id":"https://openalex.org/F4320334997","funder_display_name":"Chinese Universities Scientific Fund"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334997","display_name":"Chinese Universities Scientific Fund","ror":null},{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null},{"id":"https://openalex.org/F4320338204","display_name":"Program for Changjiang Scholars and Innovative Research Team in University","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2630837129","https://openalex.org/W2764276316","https://openalex.org/W2942454403","https://openalex.org/W2950185713","https://openalex.org/W3125860323","https://openalex.org/W3170841864","https://openalex.org/W4210794570","https://openalex.org/W4226128421","https://openalex.org/W4316661069","https://openalex.org/W4319069095","https://openalex.org/W4319303918","https://openalex.org/W4321780008","https://openalex.org/W6739696289"],"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/W2565656575"],"abstract_inverted_index":{"With":[0],"the":[1,36,49,52,75,79,88,103,113,132,142,151,162,165],"success":[2],"of":[3,51,81,115,136,164],"ViT":[4,65],"(Vision":[5],"Transformer),":[6],"Transformer":[7],"is":[8,68,87,109,147],"being":[9],"increasingly":[10],"used":[11,148],"for":[12,70],"hyperspectral":[13],"image":[14],"(HSI)":[15],"classification":[16,76],"given":[17],"its":[18,85],"ability":[19,114],"to":[20,32,95,149],"extract":[21],"global":[22,46,99,121,139],"context":[23],"dependencies.":[24],"However,":[25],"existing":[26],"methods":[27,42],"based":[28],"on":[29,158],"transformers":[30],"tend":[31],"classify":[33],"HSI":[34,71],"in":[35],"traditional":[37],"patch-wise":[38],"manner.":[39],"Thus,":[40],"these":[41,59],"cannot":[43],"obtain":[44,96],"true":[45],"features":[47],"because":[48],"inputs":[50],"model":[53],"are":[54],"local":[55,116,137],"patches.":[56],"To":[57],"solve":[58],"problems,":[60],"a":[61],"hybrid":[62,125],"convolution":[63,126],"and":[64,84,128,134,138,153],"network":[66,145],"(HCVN)":[67],"proposed":[69,166],"classification.":[72],"HCVN":[73,124],"realizes":[74],"task":[77],"from":[78],"perspective":[80],"semantic":[82],"segmentation,":[83],"input":[86],"entire":[89],"HSI,":[90],"which":[91,111],"makes":[92],"it":[93],"possible":[94],"truly":[97],"meaningful":[98],"features.":[100,122,140,155],"By":[101],"improving":[102],"original":[104],"ViT,":[105],"an":[106],"HCV":[107,129],"module":[108,130],"proposed,":[110],"enhances":[112],"structure":[117],"characterization":[118],"while":[119],"extracting":[120],"The":[123],"layer":[127],"realize":[131],"extraction":[133],"fusion":[135],"Finally,":[141],"dual":[143],"branch":[144],"architecture":[146],"integrate":[150],"spatial":[152],"spectral":[154],"Extensive":[156],"experiments":[157],"two":[159],"datasets":[160],"verify":[161],"effectiveness":[163],"method.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}