{"id":"https://openalex.org/W4412375040","doi":"https://doi.org/10.1109/lgrs.2025.3587593","title":"CrossACL: Analytic Continual Learning via Feature Cross for Hyperspectral Image Classification","display_name":"CrossACL: Analytic Continual Learning via Feature Cross for Hyperspectral Image Classification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412375040","doi":"https://doi.org/10.1109/lgrs.2025.3587593"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2025.3587593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3587593","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":null,"display_name":"Yue Yan","orcid":"https://orcid.org/0009-0001-4908-057X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Yan","raw_affiliation_strings":["Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, Guangdong, China","Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0001-4908-057X","affiliations":[{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianan Ji","orcid":"https://orcid.org/0009-0007-4813-4090"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianan Ji","raw_affiliation_strings":["Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, Guangdong, China","Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0007-4813-4090","affiliations":[{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuxuan Cheng","orcid":"https://orcid.org/0009-0005-7795-0375"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Cheng","raw_affiliation_strings":["Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, Guangdong, China","Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0005-7795-0375","affiliations":[{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ye Liu","orcid":"https://orcid.org/0009-0006-9342-7047"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Liu","raw_affiliation_strings":["Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, Guangdong, China","Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0006-9342-7047","affiliations":[{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peiting Xiong","orcid":"https://orcid.org/0009-0004-0744-4023"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiting Xiong","raw_affiliation_strings":["Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, Guangdong, China","Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0004-0744-4023","affiliations":[{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061256037","display_name":"Huiping Zhuang","orcid":"https://orcid.org/0000-0002-4612-5445"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiping Zhuang","raw_affiliation_strings":["Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, Guangdong, China","Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-4612-5445","affiliations":[{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.762,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75171907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"22","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":0.9839000105857849,"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":0.9839000105857849,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8200453519821167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6372642517089844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6276271939277649},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6059222221374512},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6057031750679016},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.543131411075592},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49589595198631287},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41181570291519165},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3396757245063782},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33429694175720215},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12641438841819763}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8200453519821167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6372642517089844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6276271939277649},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6059222221374512},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6057031750679016},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.543131411075592},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49589595198631287},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41181570291519165},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3396757245063782},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33429694175720215},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12641438841819763},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3587593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3587593","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":[],"awards":[{"id":"https://openalex.org/G7626417556","display_name":null,"funder_award_id":"62306117","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"},{"id":"https://openalex.org/F4320336737","display_name":"China Aerospace Science and Technology Innovation Fund","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1682403713","https://openalex.org/W2942454403","https://openalex.org/W2954929116","https://openalex.org/W2964189064","https://openalex.org/W4312210066","https://openalex.org/W4312636650","https://openalex.org/W4377007936","https://openalex.org/W4378070706","https://openalex.org/W4388692446","https://openalex.org/W4390603854","https://openalex.org/W4391305849","https://openalex.org/W4393160296","https://openalex.org/W4401219056","https://openalex.org/W4402644323","https://openalex.org/W4403511680","https://openalex.org/W4405600690","https://openalex.org/W4408858466","https://openalex.org/W4410616640","https://openalex.org/W4410639054","https://openalex.org/W6838906238","https://openalex.org/W6873005543"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W3034864990","https://openalex.org/W2565656575"],"abstract_inverted_index":{"Rapidly":[0],"developing":[1],"remote":[2],"sensing":[3],"technologies":[4],"expand":[5],"the":[6,59,96,102],"volume":[7],"and":[8,86,129],"variety":[9],"of":[10,31,104],"hyperspectral":[11],"images":[12],"(HSIs).":[13],"An":[14],"HSI":[15,105,162],"classification":[16,157],"(HSIC)":[17],"model":[18],"should":[19],"be":[20],"able":[21],"to":[22,24,35,92,95,155,160],"adapt":[23,94],"new":[25],"classes":[26,34,106],"continually":[27],"while":[28],"retaining":[29],"knowledge":[30],"previously":[32,54],"learned":[33,55],"reduce":[36],"training":[37,131],"resources.":[38],"However,":[39],"popular":[40],"HSIC":[41,166],"models":[42],"based":[43,77],"on":[44,78,132,165],"deep":[45],"neural":[46],"networks":[47],"exhibit":[48],"a":[49,84,118,139,149],"significant":[50],"performance":[51],"decline":[52],"in":[53,68],"classes,":[56],"known":[57],"as":[58,101],"catastrophic":[60,143],"forgetting":[61],"phenomenon.":[62],"To":[63],"efficiently":[64],"address":[65],"this":[66],"issue":[67],"HSIC,":[69],"we":[70],"propose":[71],"an":[72,111],"analytic":[73,112],"continual":[74,127],"learning":[75,128],"method":[76],"feature":[79,88,99],"cross":[80,89],"(CrossACL).":[81],"CrossACL":[82,147,170],"introduces":[83,148],"novel":[85],"training-free":[87],"module":[90],"(FCM)":[91],"better":[93],"increasingly":[97],"complex":[98],"space":[100],"number":[103],"increases.":[107],"Furthermore,":[108],"it":[109],"utilizes":[110],"recursive":[113],"ridge":[114],"regression":[115],"classifier":[116],"with":[117,175],"closed-form":[119],"solution.":[120],"This":[121],"formulation":[122],"achieves":[123,171],"conditional":[124],"equivalence":[125],"between":[126],"joint":[130],"all":[133],"data":[134],"seen":[135],"so":[136],"far,":[137],"providing":[138],"theoretical":[140],"guarantee":[141],"against":[142],"forgetting.":[144],"In":[145],"addition,":[146],"simple":[150],"but":[151],"effective":[152],"oversampling":[153],"strategy":[154],"mitigate":[156],"discrimination":[158],"due":[159],"class-imbalanced":[161],"samples.":[163],"Experiments":[164],"datasets":[167],"demonstrate":[168],"that":[169],"competitive":[172],"results":[173],"compared":[174],"state-of-the-art":[176],"methods":[177],"at":[178],"significantly":[179],"lower":[180],"computational":[181],"consumption.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
