{"id":"https://openalex.org/W4401618703","doi":"https://doi.org/10.3390/rs16162988","title":"Few-Shot Hyperspectral Remote Sensing Image Classification via an Ensemble of Meta-Optimizers with Update Integration","display_name":"Few-Shot Hyperspectral Remote Sensing Image Classification via an Ensemble of Meta-Optimizers with Update Integration","publication_year":2024,"publication_date":"2024-08-14","ids":{"openalex":"https://openalex.org/W4401618703","doi":"https://doi.org/10.3390/rs16162988"},"language":"en","primary_location":{"id":"doi:10.3390/rs16162988","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16162988","pdf_url":null,"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://doi.org/10.3390/rs16162988","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034778725","display_name":"Hao Tao","orcid":"https://orcid.org/0000-0003-1361-2527"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Hao","raw_affiliation_strings":["Interdisciplinary Data Mining Group, School of Mathematics, Shandong University, Jinan 250100, China"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Data Mining Group, School of Mathematics, Shandong University, Jinan 250100, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393609","display_name":"Zhihua Zhang","orcid":"https://orcid.org/0000-0002-6449-4332"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhihua Zhang","raw_affiliation_strings":["Interdisciplinary Data Mining Group, School of Mathematics, Shandong University, Jinan 250100, China"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Data Mining Group, School of Mathematics, Shandong University, Jinan 250100, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061647269","display_name":"M. James C. Crabbe","orcid":"https://orcid.org/0000-0003-3609-1963"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"M. James C. Crabbe","raw_affiliation_strings":["Wolfson College, University of Oxford, Oxford OX2 6UD, UK"],"affiliations":[{"raw_affiliation_string":"Wolfson College, University of Oxford, Oxford OX2 6UD, UK","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100393609"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.3167,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61539085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"16","issue":"16","first_page":"2988","last_page":"2988"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9962999820709229,"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":0.9937999844551086,"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":0.7404002547264099},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6247872710227966},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5785949230194092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4530283808708191},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3752375543117523},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3223288655281067},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.25060462951660156}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7404002547264099},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6247872710227966},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5785949230194092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4530283808708191},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3752375543117523},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3223288655281067},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.25060462951660156}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/rs16162988","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16162988","pdf_url":null,"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:2669068793e84ec3b1b198a3a27e8b3b","is_oa":true,"landing_page_url":"https://doaj.org/article/2669068793e84ec3b1b198a3a27e8b3b","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 16, Iss 16, p 2988 (2024)","raw_type":"article"},{"id":"pmh:oai:ora.ox.ac.uk:uuid:43ee8987-641a-431c-abf5-077d1d047394","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Jisc Publications Router","raw_type":"http://purl.org/coar/resource_type/c_dcae04bc"},{"id":"pmh:oai:uobrep.openrepository.com:10547/626352","is_oa":true,"landing_page_url":"http://hdl.handle.net/10547/626352","pdf_url":null,"source":{"id":"https://openalex.org/S4306400178","display_name":"University of Bedfordshire Repository (University of Bedfordshire)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I147554453","host_organization_name":"University of Bedfordshire","host_organization_lineage":["https://openalex.org/I147554453"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:uobrep.openrepository.com:10547/626727","is_oa":true,"landing_page_url":"http://hdl.handle.net/10547/626727","pdf_url":null,"source":{"id":"https://openalex.org/S4306400178","display_name":"University of Bedfordshire Repository (University of Bedfordshire)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I147554453","host_organization_name":"University of Bedfordshire","host_organization_lineage":["https://openalex.org/I147554453"],"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":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.3390/rs16162988","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16162988","pdf_url":null,"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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1574100544","https://openalex.org/W1998030734","https://openalex.org/W2004104348","https://openalex.org/W2013251902","https://openalex.org/W2019338222","https://openalex.org/W2024106491","https://openalex.org/W2029316659","https://openalex.org/W2037236246","https://openalex.org/W2085527057","https://openalex.org/W2097915756","https://openalex.org/W2101711129","https://openalex.org/W2103094532","https://openalex.org/W2103304742","https://openalex.org/W2104269704","https://openalex.org/W2114819256","https://openalex.org/W2122282653","https://openalex.org/W2146502635","https://openalex.org/W2162698522","https://openalex.org/W2427497464","https://openalex.org/W2519653196","https://openalex.org/W2602585184","https://openalex.org/W2603834682","https://openalex.org/W2604763608","https://openalex.org/W2614326984","https://openalex.org/W2624086852","https://openalex.org/W2662617432","https://openalex.org/W2788364218","https://openalex.org/W2789643644","https://openalex.org/W2790978721","https://openalex.org/W2887785636","https://openalex.org/W2901001737","https://openalex.org/W2902746003","https://openalex.org/W2940678725","https://openalex.org/W2942454403","https://openalex.org/W2944378183","https://openalex.org/W2986799142","https://openalex.org/W3034053233","https://openalex.org/W3092053846","https://openalex.org/W3122028341","https://openalex.org/W3123390980","https://openalex.org/W3154934604","https://openalex.org/W3163842339","https://openalex.org/W3164816634","https://openalex.org/W3189063576","https://openalex.org/W4224219490","https://openalex.org/W4285106080","https://openalex.org/W6659717275","https://openalex.org/W6681435938","https://openalex.org/W6743661861","https://openalex.org/W6762744983","https://openalex.org/W6776331362","https://openalex.org/W6799059858"],"related_works":["https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W1991437568","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1],"(HSIs)":[2],"with":[3,43,138],"abundant":[4],"spectra":[5],"and":[6,21,92,162],"high":[7],"spatial":[8],"resolution":[9],"can":[10],"satisfy":[11],"the":[12,15,30,35,80,84,101,113,125,133],"demand":[13],"for":[14,129],"classification":[16,114],"of":[17,67,90],"adjacent":[18],"homogeneous":[19],"regions":[20],"accurately":[22],"determine":[23,124],"their":[24],"specific":[25],"land-cover":[26],"classes.":[27],"Due":[28],"to":[29,99,110,123],"potentially":[31],"large":[32],"variance":[33],"within":[34],"same":[36],"class":[37],"in":[38,152,169],"hyperspectral":[39],"images,":[40],"classifying":[41],"HSIs":[42],"limited":[44],"training":[45,61,135],"samples":[46],"(i.e.,":[47],"few-shot":[48,105,171],"HSI":[49,106,167],"classification)":[50],"has":[51],"become":[52],"especially":[53],"difficult.":[54],"To":[55],"solve":[56],"this":[57],"issue":[58],"without":[59],"adding":[60],"costs,":[62],"we":[63,116],"propose":[64],"an":[65],"ensemble":[66,93],"meta-optimizers":[68],"that":[69],"were":[70],"generated":[71],"one":[72,74],"by":[73],"through":[75],"utilizing":[76],"periodic":[77],"annealing":[78],"on":[79,104,165],"learning":[81,94,172],"rate":[82],"during":[83,132],"meta-training":[85],"process.":[86,136],"Such":[87],"a":[88,96,118,170],"combination":[89],"meta-learning":[91],"demonstrates":[95],"powerful":[97],"ability":[98],"optimize":[100],"deep":[102],"network":[103,130],"training.":[107],"In":[108],"order":[109],"further":[111],"improve":[112],"performance,":[115],"introduced":[117],"novel":[119],"update":[120,128],"integration":[121],"process":[122],"most":[126],"appropriate":[127],"parameters":[131],"model":[134,149],"Compared":[137],"popular":[139],"human-designed":[140],"optimizers":[141],"(Adam,":[142],"AdaGrad,":[143],"RMSprop,":[144],"SGD,":[145],"etc.),":[146],"our":[147],"proposed":[148],"performed":[150],"better":[151],"convergence":[153],"speed,":[154],"final":[155],"loss":[156],"value,":[157],"overall":[158],"accuracy,":[159,161],"average":[160],"Kappa":[163],"coefficient":[164],"five":[166],"benchmarks":[168],"setting.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}