{"id":"https://openalex.org/W3189063576","doi":"https://doi.org/10.1109/lgrs.2021.3101495","title":"ALPN: Active-Learning-Based Prototypical Network for Few-Shot Hyperspectral Imagery Classification","display_name":"ALPN: Active-Learning-Based Prototypical Network for Few-Shot Hyperspectral Imagery Classification","publication_year":2021,"publication_date":"2021-08-11","ids":{"openalex":"https://openalex.org/W3189063576","doi":"https://doi.org/10.1109/lgrs.2021.3101495","mag":"3189063576"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3101495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3101495","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":"https://openalex.org/A5062771797","display_name":"Xiaorun Li","orcid":"https://orcid.org/0000-0002-4312-7533"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaorun Li","raw_affiliation_strings":["College of Electrical Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4312-7533","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118899994","display_name":"Zeyu Cao","orcid":"https://orcid.org/0000-0002-1566-2408"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyu Cao","raw_affiliation_strings":["College of Electrical Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1566-2408","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054794945","display_name":"Liaoying Zhao","orcid":"https://orcid.org/0000-0002-9276-8679"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liaoying Zhao","raw_affiliation_strings":["China Institute of Computer Application Technology, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9276-8679","affiliations":[{"raw_affiliation_string":"China Institute of Computer Application Technology, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113778657","display_name":"Jianfeng Jiang","orcid":"https://orcid.org/0000-0003-4262-0518"},"institutions":[{"id":"https://openalex.org/I4210115152","display_name":"Zhejiang Institute of Special Equipment Inspection","ror":"https://ror.org/01jb3sz14","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210115152"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Jiang","raw_affiliation_strings":["Key Laboratory of Special Equipment Safety Testing Technology of Zhejiang Province, Zhejiang Academy of Special Equipment Science, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Special Equipment Safety Testing Technology of Zhejiang Province, Zhejiang Academy of Special Equipment Science, Hangzhou, China","institution_ids":["https://openalex.org/I4210115152"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8653,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.9150605,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"19","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":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/T13890","display_name":"Remote Sensing and Land Use","score":0.9776999950408936,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9745000004768372,"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-imaging","display_name":"Hyperspectral imaging","score":0.8227776885032654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8054088354110718},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7714221477508545},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6691640615463257},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5897066593170166},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5616426467895508},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.551274836063385},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5254912972450256},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4682375490665436},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4562460482120514},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.4387182593345642},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4122304320335388},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20548751950263977},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06139403581619263}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8227776885032654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8054088354110718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7714221477508545},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6691640615463257},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5897066593170166},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5616426467895508},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.551274836063385},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5254912972450256},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4682375490665436},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4562460482120514},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.4387182593345642},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4122304320335388},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20548751950263977},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06139403581619263},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2021.3101495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3101495","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/G5873018573","display_name":"\u9ad8\u5149\u8c31\u56fe\u50cf\u4e0e\u9ad8\u7a7a\u95f4\u5206\u8fa8\u7387\u56fe\u50cf\u4e9a\u50cf\u7d20\u914d\u51c6\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61671408","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2025263547","https://openalex.org/W2600061660","https://openalex.org/W2614256707","https://openalex.org/W2620547787","https://openalex.org/W2764276316","https://openalex.org/W2809113079","https://openalex.org/W2898204262","https://openalex.org/W2912089046","https://openalex.org/W2914331134","https://openalex.org/W2963755276","https://openalex.org/W3004925702","https://openalex.org/W3083068801","https://openalex.org/W3103753223","https://openalex.org/W3169327214","https://openalex.org/W4237591687","https://openalex.org/W4240485910","https://openalex.org/W6675528751","https://openalex.org/W6714590955","https://openalex.org/W6735236233","https://openalex.org/W6740731065"],"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/W2044184146","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W2565656575"],"abstract_inverted_index":{"With":[0],"the":[1,6,38,70,75,85,94],"development":[2],"of":[3,8,25,74,90],"deep":[4],"learning,":[5],"benchmark":[7],"hyperspectral":[9,22],"imagery":[10,23],"classification":[11,24,86,119],"is":[12,77],"constantly":[13],"improving,":[14],"but":[15],"there":[16],"are":[17],"still":[18],"significant":[19,92],"challenges":[20],"for":[21],"few-shot":[26],"scenes.":[27],"This":[28],"letter":[29],"proposes":[30],"an":[31],"active-learning-based":[32],"prototypical":[33,39],"network":[34,40,76],"(ALPN),":[35],"which":[36],"uses":[37],"to":[41,58,116],"extract":[42],"representative":[43],"features":[44],"from":[45,63],"a":[46,104],"few":[47],"samples.":[48],"Moreover,":[49],"it":[50,99],"combines":[51],"semisupervised":[52],"clustering":[53],"and":[54,60,88],"active":[55],"learning":[56],"methods":[57],"select":[59],"request":[61],"labels":[62],"valuable":[64],"examples":[65],"actively.":[66],"In":[67],"this":[68],"way,":[69],"feature":[71],"extraction":[72],"ability":[73],"gradually":[78],"optimized.":[79],"The":[80],"experimental":[81],"results":[82],"validated":[83],"that":[84],"accuracy":[87],"robustness":[89],"ALPN":[91,108],"exceeded":[93],"comparison":[95],"baselines.":[96],"Furthermore,":[97],"because":[98],"can":[100,109],"be":[101,110],"regarded":[102],"as":[103],"sample":[105],"selection":[106],"method,":[107],"easily":[111],"combined":[112],"with":[113],"other":[114],"models":[115],"obtain":[117],"better":[118],"results.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":9}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}