{"id":"https://openalex.org/W4391345429","doi":"https://doi.org/10.3390/s24030867","title":"Joint Classification of Hyperspectral Images and LiDAR Data Based on Dual-Branch Transformer","display_name":"Joint Classification of Hyperspectral Images and LiDAR Data Based on Dual-Branch Transformer","publication_year":2024,"publication_date":"2024-01-29","ids":{"openalex":"https://openalex.org/W4391345429","doi":"https://doi.org/10.3390/s24030867","pmid":"https://pubmed.ncbi.nlm.nih.gov/38339584"},"language":"en","primary_location":{"id":"doi:10.3390/s24030867","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24030867","pdf_url":"https://www.mdpi.com/1424-8220/24/3/867/pdf?version=1706518847","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/3/867/pdf?version=1706518847","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102014849","display_name":"Qingyan Wang","orcid":"https://orcid.org/0000-0002-8565-8690"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingyan Wang","raw_affiliation_strings":["School of Measurement-Control and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China"],"raw_orcid":"https://orcid.org/0000-0002-8565-8690","affiliations":[{"raw_affiliation_string":"School of Measurement-Control and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102946922","display_name":"Binbin Zhou","orcid":"https://orcid.org/0009-0000-3587-6828"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binbin Zhou","raw_affiliation_strings":["School of Measurement-Control and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Measurement-Control and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696425","display_name":"Junping Zhang","orcid":"https://orcid.org/0000-0002-1082-114X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Zhang","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China"],"raw_orcid":"https://orcid.org/0000-0002-1082-114X","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101072943","display_name":"Jinbao Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I152033890","display_name":"Hainan Normal University","ror":"https://ror.org/031dhcv14","country_code":"CN","type":"education","lineage":["https://openalex.org/I152033890"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinbao Xie","raw_affiliation_strings":["College of Physics and Electronic Engineering, Hainan Normal University, Haikou 571158, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physics and Electronic Engineering, Hainan Normal University, Haikou 571158, China","institution_ids":["https://openalex.org/I152033890"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100776573","display_name":"Yujing Wang","orcid":"https://orcid.org/0000-0002-4447-3032"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujing Wang","raw_affiliation_strings":["School of Measurement-Control and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Measurement-Control and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China","institution_ids":["https://openalex.org/I100188998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102014849"],"corresponding_institution_ids":["https://openalex.org/I100188998"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.9828,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.91434222,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"24","issue":"3","first_page":"867","last_page":"867"},"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":0.9941999912261963,"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":0.9926000237464905,"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":0.7483066916465759},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6268724203109741},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5899726748466492},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.587878406047821},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.4501124620437622},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.43082401156425476},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4291539192199707},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42655789852142334},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.4105875790119171},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34582510590553284},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.32088905572891235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7483066916465759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6268724203109741},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5899726748466492},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.587878406047821},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.4501124620437622},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.43082401156425476},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4291539192199707},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42655789852142334},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4105875790119171},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34582510590553284},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32088905572891235},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24030867","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24030867","pdf_url":"https://www.mdpi.com/1424-8220/24/3/867/pdf?version=1706518847","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38339584","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38339584","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10856822","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10856822","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10856822/pdf/sensors-24-00867.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:fa317843e1bb443d8a2b1b280c376c5d","is_oa":true,"landing_page_url":"https://doaj.org/article/fa317843e1bb443d8a2b1b280c376c5d","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":"Sensors, Vol 24, Iss 3, p 867 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24030867","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24030867","pdf_url":"https://www.mdpi.com/1424-8220/24/3/867/pdf?version=1706518847","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.5600000023841858,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G3991767359","display_name":null,"funder_award_id":"YQJH2023262","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5291607210","display_name":null,"funder_award_id":"62271171","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391345429.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1584663654","https://openalex.org/W1965309615","https://openalex.org/W1976416886","https://openalex.org/W2008233110","https://openalex.org/W2054689043","https://openalex.org/W2059217921","https://openalex.org/W2146062404","https://openalex.org/W2346557146","https://openalex.org/W2565258258","https://openalex.org/W2576300543","https://openalex.org/W2606929568","https://openalex.org/W2623518586","https://openalex.org/W2752782242","https://openalex.org/W2765739551","https://openalex.org/W2782517596","https://openalex.org/W2791006446","https://openalex.org/W2900827684","https://openalex.org/W2950266692","https://openalex.org/W2963091558","https://openalex.org/W2997786074","https://openalex.org/W3004968762","https://openalex.org/W3014859219","https://openalex.org/W3033482004","https://openalex.org/W3081753142","https://openalex.org/W3105997607","https://openalex.org/W3114720220","https://openalex.org/W3121000959","https://openalex.org/W3128776197","https://openalex.org/W3133902755","https://openalex.org/W3135282456","https://openalex.org/W3140885850","https://openalex.org/W3171853541","https://openalex.org/W3202733799","https://openalex.org/W3214821343","https://openalex.org/W4206706211","https://openalex.org/W4206824864","https://openalex.org/W4212897988","https://openalex.org/W4213357621","https://openalex.org/W4225911019","https://openalex.org/W4312465065","https://openalex.org/W4313306177","https://openalex.org/W4380763457","https://openalex.org/W6782801387","https://openalex.org/W6797691975","https://openalex.org/W6802111531","https://openalex.org/W6807583360","https://openalex.org/W6847441247"],"related_works":["https://openalex.org/W2783354812","https://openalex.org/W4384112194","https://openalex.org/W4312958259","https://openalex.org/W2103009189","https://openalex.org/W4308259661","https://openalex.org/W4390813131","https://openalex.org/W2349383066","https://openalex.org/W4328132048","https://openalex.org/W2594043982","https://openalex.org/W3036493597"],"abstract_inverted_index":{"In":[0],"the":[1,6,50,59,119,130,133,154,160,208,211],"face":[2],"of":[3,9,28,52,61,102,121,132,157,164,210],"complex":[4],"scenarios,":[5],"information":[7,79,156,163,181],"insufficiency":[8],"classification":[10,23,62,85,101,186,205],"tasks":[11,36],"dominated":[12],"by":[13],"a":[14,20,90],"single":[15],"modality":[16],"has":[17,37,70],"led":[18],"to":[19,117,124,147,215],"bottleneck":[21],"in":[22,54,136],"performance.":[24],"The":[25,113,140,166,185],"joint":[26,98],"application":[27],"multimodal":[29,68],"remote":[30,138,203],"sensing":[31,204],"data":[32,69],"for":[33],"surface":[34],"observation":[35],"garnered":[38],"widespread":[39],"attention.":[40,184],"However,":[41],"issues":[42],"such":[43],"as":[44],"sample":[45],"differences":[46],"between":[47,67],"modalities":[48,82],"and":[49,83,106,109,159,194],"lack":[51],"correlation":[53],"physical":[55],"features":[56,149,175],"have":[57],"limited":[58],"performance":[60],"tasks.":[63],"Establishing":[64],"effective":[65],"interaction":[66],"become":[71],"another":[72],"significant":[73],"challenge.":[74],"To":[75],"fully":[76],"integrate":[77],"heterogeneous":[78],"from":[80,176],"multiple":[81],"enhance":[84],"performance,":[86],"this":[87],"paper":[88],"proposes":[89],"dual-branch":[91],"cross-Transformer":[92],"feature":[93,167],"fusion":[94,168],"network":[95],"aimed":[96],"at":[97],"land":[99],"cover":[100],"hyperspectral":[103],"imagery":[104],"(HSI)":[105],"Light":[107],"Detection":[108],"Ranging":[110],"(LiDAR)":[111],"data.":[112],"core":[114],"idea":[115],"is":[116,188],"leverage":[118],"potential":[120],"convolutional":[122],"operators":[123],"represent":[125],"spatial":[126,161,195],"features,":[127],"combined":[128],"with":[129],"advantages":[131],"Transformer":[134],"architecture":[135],"learning":[137],"dependencies.":[139],"framework":[141],"employs":[142],"an":[143],"improved":[144],"self-attention":[145],"mechanism":[146],"aggregate":[148],"within":[150],"each":[151],"modality,":[152],"highlighting":[153],"spectral":[155,193],"HSI":[158],"(elevation)":[162],"LiDAR.":[165],"module":[169],"based":[170],"on":[171,200],"cross-attention":[172],"integrates":[173],"deep":[174],"two":[177],"modalities,":[178],"achieving":[179],"complementary":[180],"through":[182],"cross-modal":[183],"task":[187],"performed":[189],"using":[190],"jointly":[191],"obtained":[192],"features.":[196],"Experiments":[197],"were":[198],"conducted":[199],"three":[201],"multi-source":[202],"datasets,":[206],"demonstrating":[207],"effectiveness":[209],"proposed":[212],"model":[213],"compared":[214],"existing":[216],"methods.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}