{"id":"https://openalex.org/W3036632808","doi":"https://doi.org/10.1109/jstars.2020.3002787","title":"Deep Induction Network for Small Samples Classification of Hyperspectral Images","display_name":"Deep Induction Network for Small Samples Classification of Hyperspectral Images","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3036632808","doi":"https://doi.org/10.1109/jstars.2020.3002787","mag":"3036632808"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2020.3002787","doi":"https://doi.org/10.1109/jstars.2020.3002787","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3002787","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09119099.pdf","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,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","poland-140","russia-white-list-1","vabb-shw"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09119099.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074045214","display_name":"Kuiliang Gao","orcid":"https://orcid.org/0000-0002-2145-199X","observed_orcids":["https://orcid.org/0000-0002-2145-199X"]},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuiliang Gao","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2145-199X","affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042512723","display_name":"Wenyue Guo","orcid":"https://orcid.org/0000-0002-5538-7535","observed_orcids":["https://orcid.org/0000-0002-5538-7535"]},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyue Guo","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5538-7535","affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101042173","display_name":"Xuchu Yu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuchu Yu","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039991862","display_name":"Bing Liu","orcid":"https://orcid.org/0000-0003-0848-8453","observed_orcids":["https://orcid.org/0000-0003-0848-8453"]},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Liu","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0848-8453","affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069652653","display_name":"Anzhu Yu","orcid":"https://orcid.org/0000-0002-3332-9668","observed_orcids":["https://orcid.org/0000-0002-3332-9668"]},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anzhu Yu","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037948196","display_name":"Xiangpo Wei","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangpo Wei","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I169689159"],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":2.5307,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.90484533,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"3462","last_page":"3477"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":9.999999747378752e-05,"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/T10036","display_name":"Advanced Neural Network Applications","score":9.999999747378752e-05,"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-image-classification","display_name":"hyperspectral image classification","score":0.9990000128746033},{"id":"https://openalex.org/keywords/small-sample-learning","display_name":"small sample learning","score":0.7910000085830688},{"id":"https://openalex.org/keywords/meta-training","display_name":"meta-training","score":0.9470000267028809},{"id":"https://openalex.org/keywords/dynamic-routing","display_name":"dynamic routing","score":0.9169999957084656},{"id":"https://openalex.org/keywords/few-shot-learning","display_name":"few-shot learning","score":0.5239999890327454}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.794480562210083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7467600703239441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7073881030082703},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6892179846763611},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6341730356216431},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6056658029556274},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5156875848770142},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4668745696544647},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.451861709356308},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4201894700527191},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3949580192565918},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2217794954776764},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2020.3002787","doi":"https://doi.org/10.1109/jstars.2020.3002787","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3002787","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09119099.pdf","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,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","poland-140","russia-white-list-1","vabb-shw"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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:4219e648d3dc44219e580b28eba5ff5b","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/4219e648d3dc44219e580b28eba5ff5b","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,"listed_in":[],"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 13, Pp 3462-3477 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2020.3002787","doi":"https://doi.org/10.1109/jstars.2020.3002787","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3002787","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09119099.pdf","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,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","poland-140","russia-white-list-1","vabb-shw"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G7420870516","display_name":null,"funder_award_id":"41801388","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7444807356","display_name":null,"funder_award_id":"41801388","funder_id":"https://openalex.org/F4320327720","funder_display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China"},{"id":"https://openalex.org/G8948110484","display_name":null,"funder_award_id":"Grant 41801388","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/F4320327720","display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3036632808.pdf","grobid_xml":"https://content.openalex.org/works/W3036632808.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W2029316659","https://openalex.org/W2029487357","https://openalex.org/W2067869061","https://openalex.org/W2071821878","https://openalex.org/W2079683903","https://openalex.org/W2096553553","https://openalex.org/W2101479772","https://openalex.org/W2128944533","https://openalex.org/W2412588858","https://openalex.org/W2432717477","https://openalex.org/W2500751094","https://openalex.org/W2539179237","https://openalex.org/W2548791488","https://openalex.org/W2572303978","https://openalex.org/W2573524522","https://openalex.org/W2580081062","https://openalex.org/W2601450892","https://openalex.org/W2603834682","https://openalex.org/W2604763608","https://openalex.org/W2609880332","https://openalex.org/W2620547787","https://openalex.org/W2751777443","https://openalex.org/W2766043746","https://openalex.org/W2766594578","https://openalex.org/W2767805377","https://openalex.org/W2768228940","https://openalex.org/W2768537477","https://openalex.org/W2777427437","https://openalex.org/W2803895400","https://openalex.org/W2804458818","https://openalex.org/W2804902458","https://openalex.org/W2807839383","https://openalex.org/W2892621946","https://openalex.org/W2896320980","https://openalex.org/W2898204262","https://openalex.org/W2901581166","https://openalex.org/W2907064575","https://openalex.org/W2908955282","https://openalex.org/W2911968856","https://openalex.org/W2920405132","https://openalex.org/W2928260953","https://openalex.org/W2941141441","https://openalex.org/W2947471972","https://openalex.org/W2962949934","https://openalex.org/W2963341924","https://openalex.org/W2964105864","https://openalex.org/W2965615220","https://openalex.org/W2971048662","https://openalex.org/W2971262044","https://openalex.org/W2985526435","https://openalex.org/W2991494819","https://openalex.org/W2991616716","https://openalex.org/W2997343747","https://openalex.org/W2998460251","https://openalex.org/W3000446647","https://openalex.org/W3005422671","https://openalex.org/W3007777078","https://openalex.org/W3012405452","https://openalex.org/W4240485910","https://openalex.org/W6729123582"],"related_works":["https://openalex.org/W3143750171","https://openalex.org/W3139872481","https://openalex.org/W4405305987","https://openalex.org/W2898204262","https://openalex.org/W3138725786","https://openalex.org/W3123390980","https://openalex.org/W4317438620","https://openalex.org/W4291366441","https://openalex.org/W4293165756","https://openalex.org/W4303980731"],"abstract_inverted_index":{"Recently,":[0],"the":[1,17,27,34,37,42,47,55,62,72,78,84,91,103,123,127,131,134,139,146,153,157,170,192,195,210],"deep":[2,18,43,58,206],"learning":[3,19,44,207],"models":[4,20,45],"have":[5],"achieved":[6],"great":[7],"success":[8],"in":[9,51,67,118,133,137],"hyperspectral":[10],"images":[11],"(HSI)":[12],"classification.":[13],"However,":[14],"most":[15],"of":[16,29,41,75,80,130,194,212],"fail":[21],"to":[22,33,70,93,100,120,156,173,190],"obtain":[23],"satisfactory":[24],"results":[25,199],"under":[26,77,209],"condition":[28,79,211],"small":[30,81,213],"samples":[31,50,111,114,132],"due":[32],"contradiction":[35],"between":[36],"large":[38],"parameter":[39],"space":[40],"and":[46,177],"insufficient":[48],"labeled":[49,110],"HSI.":[52],"To":[53],"address":[54],"problem,":[56],"a":[57,108],"model":[59,92,172],"based":[60],"on":[61,186],"induction":[63,141],"network":[64],"is":[65,88,143],"designed":[66,171],"this":[68],"article":[69],"improve":[71],"classification":[73,179],"performance":[74],"HSI":[76,189],"samples.":[82,214],"Specifically,":[83],"typical":[85],"meta-training":[86],"strategy":[87],"adopted,":[89],"enabling":[90],"acquire":[94],"stronger":[95],"generalization":[96],"ability,":[97],"so":[98],"as":[99],"accurately":[101],"distinguish":[102],"new":[104],"classes":[105],"with":[106,122],"only":[107],"few":[109],"(e.g.,":[112],"five":[113],"per":[115],"class).":[116],"Moreover,":[117],"order":[119],"deal":[121],"disturbance":[124],"caused":[125],"by":[126],"various":[128],"characteristics":[129],"same":[135],"class":[136],"HSI,":[138],"class-wise":[140,158,163],"module":[142],"introduced":[144],"utilizing":[145],"dynamic":[147],"routing":[148],"algorithm,":[149],"which":[150],"can":[151],"induce":[152],"sample-wise":[154],"representations":[155,165],"level":[159,164],"representations.":[160],"The":[161,198],"obtained":[162],"possess":[166],"better":[167],"separability,":[168],"allowing":[169],"generate":[174],"more":[175],"accurate":[176],"robust":[178],"results.":[180],"Extensive":[181],"experiments":[182],"are":[183],"carried":[184],"out":[185],"three":[187],"public":[188],"verify":[191],"effectiveness":[193],"proposed":[196],"method.":[197],"demonstrate":[200],"that":[201],"our":[202],"method":[203],"outperforms":[204],"existing":[205],"methods":[208]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2020-06-25T00:00:00"}