{"id":"https://openalex.org/W4402041082","doi":"https://doi.org/10.1109/jstars.2024.3452494","title":"Pseudolabeling Contrastive Learning for Semisupervised Hyperspectral and LiDAR Data Classification","display_name":"Pseudolabeling Contrastive Learning for Semisupervised Hyperspectral and LiDAR Data Classification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402041082","doi":"https://doi.org/10.1109/jstars.2024.3452494"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3452494","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3452494","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2024.3452494","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100726881","display_name":"Zhongwei Li","orcid":"https://orcid.org/0000-0002-3934-9053"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongwei Li","raw_affiliation_strings":["College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-3934-9053","affiliations":[{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020534506","display_name":"Yuewen Wang","orcid":"https://orcid.org/0009-0006-0975-5129"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuewen Wang","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":"https://orcid.org/0009-0006-0975-5129","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031199063","display_name":"Leiquan Wang","orcid":"https://orcid.org/0000-0003-4314-0030"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leiquan Wang","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-4314-0030","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041522379","display_name":"Fangming Guo","orcid":"https://orcid.org/0000-0002-0093-9398"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangming Guo","raw_affiliation_strings":["College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104234418","display_name":"Yajie Yang","orcid":"https://orcid.org/0009-0004-1429-6372"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajie Yang","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":"https://orcid.org/0009-0004-1429-6372","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113562780","display_name":"Jie Wei","orcid":"https://orcid.org/0009-0004-8007-8197"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wei","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210162190"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":2.4405,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.9023114,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"17","issue":null,"first_page":"17099","last_page":"17116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T12676","display_name":"Machine Learning and ELM","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9664999842643738,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8777453899383545},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.779450535774231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6189616918563843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5790380239486694},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5352473855018616},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3870297074317932},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23826882243156433}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8777453899383545},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.779450535774231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6189616918563843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5790380239486694},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5352473855018616},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3870297074317932},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23826882243156433}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3452494","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3452494","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2976b10823ac47efa6091a5335d86c62","is_oa":true,"landing_page_url":"https://doaj.org/article/2976b10823ac47efa6091a5335d86c62","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":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17099-17116 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3452494","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3452494","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1930027536","display_name":null,"funder_award_id":"62101150","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5727579702","display_name":null,"funder_award_id":"62071491","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":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1976416886","https://openalex.org/W2054689043","https://openalex.org/W2133564696","https://openalex.org/W2623518586","https://openalex.org/W2765739551","https://openalex.org/W2890133123","https://openalex.org/W2914331134","https://openalex.org/W2945608588","https://openalex.org/W2963091558","https://openalex.org/W2965129091","https://openalex.org/W2998142089","https://openalex.org/W3004968762","https://openalex.org/W3034552520","https://openalex.org/W3035356612","https://openalex.org/W3035524453","https://openalex.org/W3081753142","https://openalex.org/W3099850646","https://openalex.org/W3105997607","https://openalex.org/W3122028341","https://openalex.org/W3152716313","https://openalex.org/W3197832506","https://openalex.org/W3202733799","https://openalex.org/W3208935369","https://openalex.org/W3209540366","https://openalex.org/W4200068923","https://openalex.org/W4213185605","https://openalex.org/W4229058281","https://openalex.org/W4283370461","https://openalex.org/W4285107185","https://openalex.org/W4285124347","https://openalex.org/W4285134520","https://openalex.org/W4285507497","https://openalex.org/W4312465065","https://openalex.org/W4312473532","https://openalex.org/W4313306177","https://openalex.org/W4315606133","https://openalex.org/W4380078700","https://openalex.org/W4380763457","https://openalex.org/W4384915783","https://openalex.org/W4384917159","https://openalex.org/W4385413338","https://openalex.org/W4386266673","https://openalex.org/W4387789827","https://openalex.org/W6679434410","https://openalex.org/W6776700526","https://openalex.org/W6843394891"],"related_works":["https://openalex.org/W2385371209","https://openalex.org/W2351984678","https://openalex.org/W4250051149","https://openalex.org/W2140032575","https://openalex.org/W2083270190","https://openalex.org/W2011860471","https://openalex.org/W2012196540","https://openalex.org/W3011451421","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Elevation":[0],"information":[1,47,85,91,137,150],"from":[2,121,192],"light":[3],"detection":[4],"and":[5,25,49,62,208],"ranging":[6],"(LiDAR)":[7],"data":[8,126],"relieve":[9],"the":[10,55,66,105,117,133,147,155,186,201,211],"phenomenon":[11],"of":[12,51,57,83,119,135,149,164,226],"\u201csame":[13],"spectrum":[14],"with":[15,160,222],"different":[16],"object\u201d":[17],"in":[18,45,86],"hyperspectral":[19],"images":[20],"(HSI)":[21],"classification.":[22,103],"Consequently,":[23],"HSI":[24],"LiDAR":[26],"joint":[27],"classification":[28,70,159,216],"is":[29,60,77,96,113,129,167,175],"a":[30,43,69,161,223],"significant":[31],"research":[32],"topic.":[33],"However,":[34],"existing":[35,220],"methods":[36,221],"encounter":[37],"several":[38],"challenges.":[39],"Primarily,":[40],"there":[41],"exists":[42],"deficiency":[44],"intraclass":[46,90,152],"interaction":[48,118,134,148],"underutilization":[50],"discriminative":[52,179],"feature.":[53],"Furthermore,":[54],"process":[56],"labeling":[58],"samples":[59,166],"time-consuming":[61],"laborious.":[63],"To":[64],"solve":[65],"aforementioned":[67],"issues,":[68],"method":[71,95,213],"based":[72],"on":[73,205],"pseudolabeled":[74],"contrastive":[75,143],"learning":[76,144],"proposed":[78,94,130,212],"to":[79,88,115,131,177,184,199],"exploit":[80],"substantial":[81],"amounts":[82],"unlabeled":[84],"order":[87],"enhance":[89,132],"interaction.":[92],"The":[93,169],"divided":[97],"into":[98],"two":[99],"stages":[100],"for":[101],"semisupervised":[102],"In":[104,154],"first":[106],"stage,":[107,157],"an":[108],"unsupervised":[109],"feature":[110,173,188],"extraction":[111],"network":[112],"designed":[114,176],"improve":[116],"features":[120,198],"multimodal":[122,125,136],"data.":[123],"A":[124],"cross-attention":[127],"module":[128,145,174,195],"at":[138],"corresponding":[139],"locations.":[140],"Exploiting":[141],"pseudolabeling":[142],"facilitates":[146],"between":[151],"objects.":[153],"second":[156],"supervised":[158],"limited":[162,224],"number":[163],"labeled":[165,227],"performed.":[168],"multisource":[170],"discriminatively":[171],"consolidate":[172],"generate":[178],"features,":[180],"which":[181],"are":[182],"used":[183],"guide":[185],"fusion":[187],"enhancement":[189],"process.":[190],"Apart":[191],"this,":[193],"this":[194],"leverages":[196],"multiscale":[197],"expand":[200],"receptive":[202],"field.":[203],"Tested":[204],"both":[206],"self-constructed":[207],"public":[209],"datasets,":[210],"provides":[214],"higher":[215],"accuracy":[217],"than":[218],"some":[219],"amount":[225],"samples.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
