{"id":"https://openalex.org/W4408564938","doi":"https://doi.org/10.1109/tgrs.2025.3552449","title":"HyperKD: Lifelong Hyperspectral Image Classification With Cross-Spectral\u2013Spatial Knowledge Distillation","display_name":"HyperKD: Lifelong Hyperspectral Image Classification With Cross-Spectral\u2013Spatial Knowledge Distillation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408564938","doi":"https://doi.org/10.1109/tgrs.2025.3552449"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3552449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3552449","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5101755539","display_name":"Zhenlin Li","orcid":"https://orcid.org/0000-0001-7525-330X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenlin Li","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060714617","display_name":"Shaobo Xia","orcid":"https://orcid.org/0000-0003-2890-838X"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaobo Xia","raw_affiliation_strings":["Department of Geomatics Engineering, Changsha University of Science and Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2890-838X","affiliations":[{"raw_affiliation_string":"Department of Geomatics Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064831469","display_name":"Jun Yue","orcid":"https://orcid.org/0000-0002-6465-5052"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yue","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-6465-5052","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065061505","display_name":"Leyuan Fang","orcid":"https://orcid.org/0000-0003-2351-4461"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leyuan Fang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2351-4461","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2693,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.93806577,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9591000080108643,"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":0.9591000080108643,"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":0.8686947822570801},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6075112819671631},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5944132804870605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5355911254882812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5262826085090637},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4833666682243347},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4517676830291748},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38691025972366333},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3266667127609253},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2669900953769684}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8686947822570801},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6075112819671631},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5944132804870605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5355911254882812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5262826085090637},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4833666682243347},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4517676830291748},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38691025972366333},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3266667127609253},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2669900953769684}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3552449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3552449","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G1066888405","display_name":null,"funder_award_id":"2025JJ40059","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G2075748576","display_name":null,"funder_award_id":"2022RSC3064","funder_id":"https://openalex.org/F4320330206","funder_display_name":"Science and Technology Program of Hunan Province"},{"id":"https://openalex.org/G4217899750","display_name":null,"funder_award_id":"62425109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4583694037","display_name":null,"funder_award_id":"U22B2014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7219121048","display_name":null,"funder_award_id":"2023JJ40024","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G8388973742","display_name":null,"funder_award_id":"42201481","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/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320330206","display_name":"Science and Technology Program of Hunan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1682403713","https://openalex.org/W1821462560","https://openalex.org/W2104877815","https://openalex.org/W2441795991","https://openalex.org/W2465503420","https://openalex.org/W2473930607","https://openalex.org/W2560647685","https://openalex.org/W2767805377","https://openalex.org/W2786446225","https://openalex.org/W2788388592","https://openalex.org/W2884282566","https://openalex.org/W2908349615","https://openalex.org/W2939137134","https://openalex.org/W2948734064","https://openalex.org/W2954929116","https://openalex.org/W2963140444","https://openalex.org/W2963588172","https://openalex.org/W2964189064","https://openalex.org/W2972313371","https://openalex.org/W2981864462","https://openalex.org/W2982410595","https://openalex.org/W2995139074","https://openalex.org/W3013325675","https://openalex.org/W3030364939","https://openalex.org/W3034368386","https://openalex.org/W3034856281","https://openalex.org/W3107810305","https://openalex.org/W3128031946","https://openalex.org/W3163939464","https://openalex.org/W3168149265","https://openalex.org/W4280490589","https://openalex.org/W4281618720","https://openalex.org/W4312615142","https://openalex.org/W4312636650","https://openalex.org/W4313185051","https://openalex.org/W4378195019","https://openalex.org/W4382371057","https://openalex.org/W4384915783","https://openalex.org/W4385269049","https://openalex.org/W4386076049","https://openalex.org/W4387682254","https://openalex.org/W4388430582","https://openalex.org/W4388692446","https://openalex.org/W4391305849","https://openalex.org/W4394699146","https://openalex.org/W4401070619","https://openalex.org/W4401452846","https://openalex.org/W4402674165","https://openalex.org/W4402703021","https://openalex.org/W4402772396","https://openalex.org/W4403511252","https://openalex.org/W6637551013","https://openalex.org/W6677258307","https://openalex.org/W6720926796","https://openalex.org/W6738602802","https://openalex.org/W6741217325","https://openalex.org/W6746643698","https://openalex.org/W6779133958","https://openalex.org/W6803276101"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W2317401237","https://openalex.org/W1990800631","https://openalex.org/W2167120702","https://openalex.org/W2579567122","https://openalex.org/W2369060955","https://openalex.org/W2046697080"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"(HSI)":[2],"classification":[3],"models":[4],"suffer":[5],"from":[6,35,128,144],"a":[7,27,36,73,100,110,181],"phenomenon":[8],"known":[9],"as":[10,126],"catastrophic":[11,59,210],"forgetting,":[12],"which":[13,81],"refers":[14],"to":[15,106,148,200],"the":[16,56,96,120,134,140,145,149,155,165,186],"sharp":[17],"decline":[18],"in":[19,61],"performance":[20,198],"on":[21,84,180],"previously":[22],"learned":[23],"tasks":[24,130],"after":[25],"learning":[26,45,63,76,203],"new":[28,33],"one":[29],"when":[30],"continuously":[31],"acquiring":[32],"knowledge":[34,90,112,173],"sequence":[37],"of":[38,58,167,183,215],"tasks.":[39],"In":[40,68],"recent":[41],"years,":[42],"some":[43,54],"lifelong":[44,62,75,202],"approaches":[46],"have":[47],"been":[48],"proposed":[49,97],"for":[50,78,131,205],"HSI":[51,79,107,206],"classification.":[52],"Despite":[53],"progress,":[55],"challenge":[57],"forgetting":[60],"remains":[64],"significant":[65],"and":[66,87,174,191],"unresolved.":[67],"this":[69],"article,":[70],"we":[71],"propose":[72],"novel":[74],"framework":[77,98],"classification,":[80,207],"is":[82],"based":[83],"exemplar":[85],"replay":[86],"cross-spectral\u2013spatial":[88],"feature":[89,157,168],"distillation":[91,113],"(KD),":[92],"termed":[93],"HyperKD.":[94],"Specifically,":[95],"incorporates":[99],"min-max":[101],"cross-selection":[102],"(MMCS)":[103],"module":[104,118,136],"tailored":[105],"characteristics":[108],"with":[109],"cross-spectral-spatial":[111],"(CSSKD)":[114],"module.":[115],"The":[116,212],"MMCS":[117],"selects":[119],"most":[121],"representative":[122],"or":[123],"diverse":[124],"samples":[125],"exemplars":[127],"previous":[129,146,201],"replay.":[132],"Additionally,":[133],"CSSKD":[135],"not":[137],"only":[138],"transfers":[139,154],"prediction":[141],"logit":[142],"distribution":[143,158],"network":[147,151],"current":[150],"but":[152],"also":[153],"spectral-spatial":[156],"via":[159],"cross-network":[160],"KD,":[161],"without":[162],"directly":[163],"assessing":[164],"similarity":[166],"distributions,":[169],"thereby":[170],"retaining":[171],"more":[172],"mitigating":[175,209],"forgetting.":[176,211],"Through":[177],"experiments":[178],"conducted":[179],"series":[182],"tasks,":[184],"including":[185],"Pavia,":[187],"Indian":[188],"Pines,":[189],"Salinas,":[190],"Houston":[192],"datasets,":[193],"our":[194,216],"approach":[195,217],"demonstrates":[196],"superior":[197],"compared":[199],"methods":[204],"effectively":[208],"code":[213],"implementation":[214],"will":[218],"be":[219],"publicly":[220],"available":[221],"at":[222],"<uri":[223],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[224],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/lzlsxs/hyperkd</uri>.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-06-14T07:44:22.658603","created_date":"2025-10-10T00:00:00"}