{"id":"https://openalex.org/W4281618720","doi":"https://doi.org/10.3390/rs14112556","title":"Hyperspectral Image Classification Based on Class-Incremental Learning with Knowledge Distillation","display_name":"Hyperspectral Image Classification Based on Class-Incremental Learning with Knowledge Distillation","publication_year":2022,"publication_date":"2022-05-26","ids":{"openalex":"https://openalex.org/W4281618720","doi":"https://doi.org/10.3390/rs14112556"},"language":"en","primary_location":{"id":"doi:10.3390/rs14112556","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14112556","pdf_url":"https://www.mdpi.com/2072-4292/14/11/2556/pdf?version=1653579539","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/11/2556/pdf?version=1653579539","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038002446","display_name":"Meng Xu","orcid":"https://orcid.org/0000-0002-4056-7787"},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Xu","raw_affiliation_strings":["China Academy of Space Technology, Beijjng 100098, China"],"affiliations":[{"raw_affiliation_string":"China Academy of Space Technology, Beijjng 100098, China","institution_ids":["https://openalex.org/I194716290"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101625788","display_name":"Yuanyuan Zhao","orcid":"https://orcid.org/0000-0001-5447-2861"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Zhao","raw_affiliation_strings":["School of Information Science and Technology, Dalian University of Technology, Dalian 116024, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Dalian University of Technology, Dalian 116024, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100905573","display_name":"Liang Yajun","orcid":null},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajun Liang","raw_affiliation_strings":["Space Star Technology Co., Ltd., Chengdu 610100, China"],"affiliations":[{"raw_affiliation_string":"Space Star Technology Co., Ltd., Chengdu 610100, China","institution_ids":["https://openalex.org/I194716290"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087248518","display_name":"Xiaorui Ma","orcid":"https://orcid.org/0000-0001-7697-2285"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaorui Ma","raw_affiliation_strings":["School of Information Science and Technology, Dalian University of Technology, Dalian 116024, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Dalian University of Technology, Dalian 116024, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087248518"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.7052,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.91000818,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"14","issue":"11","first_page":"2556","last_page":"2556"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8764568567276001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7799903154373169},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6015946865081787},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5977016687393188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5559104084968567},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5059956908226013},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4826541543006897},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33745700120925903},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33129316568374634},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.1474234163761139},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06737589836120605}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8764568567276001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7799903154373169},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6015946865081787},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5977016687393188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5559104084968567},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5059956908226013},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4826541543006897},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33745700120925903},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33129316568374634},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.1474234163761139},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06737589836120605},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14112556","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14112556","pdf_url":"https://www.mdpi.com/2072-4292/14/11/2556/pdf?version=1653579539","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3be4dbd844c94eddb171018ff4d89fe6","is_oa":true,"landing_page_url":"https://doaj.org/article/3be4dbd844c94eddb171018ff4d89fe6","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 11, p 2556 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/11/2556/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14112556","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Remote Sensing; Volume 14; Issue 11; Pages: 2556","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14112556","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14112556","pdf_url":"https://www.mdpi.com/2072-4292/14/11/2556/pdf?version=1653579539","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3836612152","display_name":null,"funder_award_id":"61801078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4160678754","display_name":null,"funder_award_id":"2020-MS-099","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7836423780","display_name":null,"funder_award_id":"Liaoning","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8820464852","display_name":null,"funder_award_id":"2020-MS-09","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323086","display_name":"Natural Science Foundation of Liaoning Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281618720.pdf","grobid_xml":"https://content.openalex.org/works/W4281618720.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1491705651","https://openalex.org/W1576462183","https://openalex.org/W1990895816","https://openalex.org/W1997866865","https://openalex.org/W2004104348","https://openalex.org/W2007969993","https://openalex.org/W2029316659","https://openalex.org/W2044184146","https://openalex.org/W2060277733","https://openalex.org/W2090424610","https://openalex.org/W2122301197","https://openalex.org/W2136251662","https://openalex.org/W2150566919","https://openalex.org/W2162698522","https://openalex.org/W2345128667","https://openalex.org/W2473930607","https://openalex.org/W2593528311","https://openalex.org/W2603422184","https://openalex.org/W2605911906","https://openalex.org/W2752782242","https://openalex.org/W2759824248","https://openalex.org/W2768412495","https://openalex.org/W2786240540","https://openalex.org/W2791091755","https://openalex.org/W2811355488","https://openalex.org/W2884821113","https://openalex.org/W2896320980","https://openalex.org/W2897160171","https://openalex.org/W2909158354","https://openalex.org/W2928260953","https://openalex.org/W2939573284","https://openalex.org/W2943270518","https://openalex.org/W2948734064","https://openalex.org/W2954929116","https://openalex.org/W2963813679","https://openalex.org/W2964189064","https://openalex.org/W2974777596","https://openalex.org/W3012135036","https://openalex.org/W3033900788","https://openalex.org/W3034435444","https://openalex.org/W3043713335","https://openalex.org/W3083068801","https://openalex.org/W3086507804","https://openalex.org/W3103800629","https://openalex.org/W3107769984","https://openalex.org/W3120389167","https://openalex.org/W3130652158","https://openalex.org/W3134036510","https://openalex.org/W3144281354","https://openalex.org/W3156646782","https://openalex.org/W3178686235","https://openalex.org/W3186918158","https://openalex.org/W3205986049","https://openalex.org/W4320339642","https://openalex.org/W6747837551"],"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/W2343470940"],"abstract_inverted_index":{"By":[0],"virtue":[1],"of":[2,15,27,58,120],"its":[3],"large-covered":[4],"spatial":[5],"information":[6,119,149,166],"and":[7,46,51,131,189],"high-resolution":[8],"spectral":[9],"information,":[10],"hyperspectral":[11,34,73,178],"images":[12,179],"make":[13],"lots":[14],"mapping-based":[16],"fine-grained":[17],"remote":[18,60,206],"sensing":[19,61,207],"applications":[20],"possible.":[21],"However,":[22],"due":[23],"to":[24,81,96,116,126,138,162],"the":[25,56,66,88,93,118,127,140,144,154,174,182,198],"inconsistency":[26],"land-cover":[28,84,99,191],"types":[29,85,100,192],"between":[30,150],"different":[31,151],"images,":[32],"most":[33],"image":[35,45,74],"classification":[36,49,75,94],"methods":[37],"keep":[38],"their":[39],"effectiveness":[40],"by":[41,123,147,167],"training":[42,52],"on":[43,78,173],"every":[44],"saving":[47],"all":[48,98],"models":[50],"samples,":[53],"which":[54,91,196],"limits":[55],"promotion":[57],"related":[59],"tasks.":[62,208],"To":[63],"deal":[64],"with":[65,101,193],"aforementioned":[67],"issues,":[68],"this":[69],"paper":[70],"proposes":[71],"a":[72,110,132,158,168],"method":[76,95,156,184,200],"based":[77],"class-incremental":[79],"learning":[80,107],"learn":[82],"new":[83,108,145,188],"without":[86],"forgetting":[87],"old":[89,121,190],"ones,":[90],"enables":[92],"classify":[97],"one":[102],"final":[103],"model.":[104],"Specially,":[105],"when":[106],"classes,":[109],"knowledge":[111,125],"distillation":[112],"strategy":[113],"is":[114,136,201],"designed":[115],"recall":[117],"classes":[122],"transferring":[124],"newly":[128],"trained":[129],"network,":[130],"linear":[133],"correction":[134],"layer":[135],"proposed":[137,155,183,199],"relax":[139],"heavy":[141],"bias":[142],"towards":[143],"class":[146],"reapportioning":[148],"classes.":[152],"Additionally,":[153],"introduces":[157],"channel":[159],"attention":[160],"mechanism":[161],"effectively":[163],"utilize":[164],"spatial\u2013spectral":[165],"recalibration":[169],"strategy.":[170],"Experimental":[171],"results":[172],"three":[175],"widely":[176],"used":[177],"demonstrate":[180],"that":[181],"can":[185],"identify":[186],"both":[187],"high":[194],"accuracy,":[195],"proves":[197],"more":[202],"practical":[203],"in":[204],"large-coverage":[205]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2022-06-13T00:00:00"}
