{"id":"https://openalex.org/W3174347435","doi":"https://doi.org/10.3390/s21134333","title":"Multi-Aspect SAR Target Recognition Based on Prototypical Network with a Small Number of Training Samples","display_name":"Multi-Aspect SAR Target Recognition Based on Prototypical Network with a Small Number of Training Samples","publication_year":2021,"publication_date":"2021-06-24","ids":{"openalex":"https://openalex.org/W3174347435","doi":"https://doi.org/10.3390/s21134333","mag":"3174347435","pmid":"https://pubmed.ncbi.nlm.nih.gov/34202766"},"language":"en","primary_location":{"id":"doi:10.3390/s21134333","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21134333","pdf_url":"https://www.mdpi.com/1424-8220/21/13/4333/pdf?version=1624538504","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/13/4333/pdf?version=1624538504","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100627238","display_name":"Pengfei Zhao","orcid":"https://orcid.org/0000-0002-0319-3667"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Zhao","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100194, China","Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Chinese Academy of Sciences, Beijing 100194, China","University of Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100194, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Chinese Academy of Sciences, Beijing 100194, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102410461","display_name":"Lijia Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lijia Huang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100194, China","Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Chinese Academy of Sciences, Beijing 100194, China","University of Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100194, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Chinese Academy of Sciences, Beijing 100194, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100655680","display_name":"Yu Xin","orcid":"https://orcid.org/0000-0003-4358-8396"},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Xin","raw_affiliation_strings":["Beijing Institute of Remote Sensing Information, Beijing 100192, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Remote Sensing Information, Beijing 100192, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057347296","display_name":"Jiayi Guo","orcid":"https://orcid.org/0000-0002-2272-0450"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Guo","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100194, China","Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Chinese Academy of Sciences, Beijing 100194, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100194, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Chinese Academy of Sciences, Beijing 100194, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032116461","display_name":"Zongxu Pan","orcid":"https://orcid.org/0000-0002-5041-3300"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongxu Pan","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100194, China","Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Chinese Academy of Sciences, Beijing 100194, China","University of Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100194, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Chinese Academy of Sciences, Beijing 100194, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102410461"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199","https://openalex.org/I4210165038"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":12.4226,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.97880925,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"21","issue":"13","first_page":"4333","last_page":"4333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/automatic-target-recognition","display_name":"Automatic target recognition","score":0.8181586265563965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7890709042549133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7475941777229309},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6985514163970947},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6720231771469116},{"id":"https://openalex.org/keywords/target-acquisition","display_name":"Target acquisition","score":0.5414048433303833},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5303970575332642},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5119370222091675},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44920220971107483},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.365740031003952}],"concepts":[{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.8181586265563965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7890709042549133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7475941777229309},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6985514163970947},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6720231771469116},{"id":"https://openalex.org/C2779726219","wikidata":"https://www.wikidata.org/wiki/Q7685884","display_name":"Target acquisition","level":2,"score":0.5414048433303833},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5303970575332642},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5119370222091675},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44920220971107483},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.365740031003952},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011825","descriptor_name":"Radar","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011825","descriptor_name":"Radar","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011825","descriptor_name":"Radar","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21134333","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21134333","pdf_url":"https://www.mdpi.com/1424-8220/21/13/4333/pdf?version=1624538504","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:34202766","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34202766","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:20e349a1fb40484eaa06744893fc6305","is_oa":true,"landing_page_url":"https://doaj.org/article/20e349a1fb40484eaa06744893fc6305","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 13, p 4333 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/13/4333/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21134333","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":"Sensors; Volume 21; Issue 13; Pages: 4333","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8271429","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8271429","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21134333","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21134333","pdf_url":"https://www.mdpi.com/1424-8220/21/13/4333/pdf?version=1624538504","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1184603321","display_name":null,"funder_award_id":"61701478","funder_id":"https://openalex.org/F4320327720","funder_display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China"}],"funders":[{"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/W3174347435.pdf","grobid_xml":"https://content.openalex.org/works/W3174347435.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1978421454","https://openalex.org/W2010853190","https://openalex.org/W2036261104","https://openalex.org/W2037437396","https://openalex.org/W2079299474","https://openalex.org/W2089206135","https://openalex.org/W2091823356","https://openalex.org/W2124648367","https://openalex.org/W2148791593","https://openalex.org/W2158614875","https://openalex.org/W2163605009","https://openalex.org/W2182015545","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2410591237","https://openalex.org/W2520774990","https://openalex.org/W2521772843","https://openalex.org/W2544339223","https://openalex.org/W2601450892","https://openalex.org/W2601564443","https://openalex.org/W2618530766","https://openalex.org/W2754361766","https://openalex.org/W2767982410","https://openalex.org/W2773828237","https://openalex.org/W2891609780","https://openalex.org/W2946948417","https://openalex.org/W2948210185","https://openalex.org/W2950477723","https://openalex.org/W2954949296","https://openalex.org/W2955425717","https://openalex.org/W2976243291","https://openalex.org/W3022726996","https://openalex.org/W3034552520","https://openalex.org/W3181253590","https://openalex.org/W4285719527","https://openalex.org/W6684191040","https://openalex.org/W6685773719","https://openalex.org/W6715023728"],"related_works":["https://openalex.org/W3137365474","https://openalex.org/W2784759481","https://openalex.org/W3038591045","https://openalex.org/W3130755980","https://openalex.org/W2053024573","https://openalex.org/W2106749053","https://openalex.org/W2773828237","https://openalex.org/W4380446815","https://openalex.org/W4386323663","https://openalex.org/W2945014618"],"abstract_inverted_index":{"At":[0],"present,":[1],"synthetic":[2],"aperture":[3],"radar":[4],"(SAR)":[5],"automatic":[6],"target":[7,37,63,68,109],"recognition":[8,64,69,110,133,156],"(ATR)":[9],"has":[10],"been":[11],"deeply":[12],"researched":[13],"and":[14,19,54,60,123,171],"widely":[15],"used":[16],"in":[17],"military":[18],"civilian":[20],"fields.":[21],"SAR":[22,46,67,79,108],"images":[23],"are":[24,71,127],"very":[25],"sensitive":[26],"to":[27,84,94,130,164,177,182],"the":[28,32,35,44,58,78,132,136,149,155,165],"azimuth":[29],"aspect":[30],"of":[31,138,142,158],"imaging":[33],"geomety;":[34],"same":[36],"at":[38],"different":[39],"aspects":[40],"differs":[41],"greatly.":[42],"Thus,":[43],"multi-aspect":[45,62,107],"image":[47],"sequence":[48],"contains":[49],"more":[50],"information":[51],"for":[52,87,98],"classification":[53],"recognition,":[55],"which":[56],"requires":[57],"reliable":[59],"robust":[61],"method.":[65],"Nowadays,":[66],"methods":[70,118],"mostly":[72],"based":[73,112],"on":[74,113],"deep":[75,99],"learning.":[76],"However,":[77],"dataset":[80,151],"is":[81,92],"usually":[82],"expensive":[83],"obtain,":[85],"especially":[86],"a":[88,106,114,139],"certain":[89],"target.":[90],"It":[91],"difficult":[93],"obtain":[95],"enough":[96],"samples":[97,170],"learning":[100,122,187],"model":[101],"training.":[102],"This":[103],"paper":[104],"proposes":[105],"method":[111,160,173],"prototypical":[115],"network.":[116],"Furthermore,":[117],"such":[119],"as":[120],"multi-task":[121],"multi-level":[124],"feature":[125],"fusion":[126],"also":[128],"introduced":[129],"enhance":[131],"accuracy":[134,157],"under":[135],"case":[137],"small":[140,185],"number":[141],"training":[143],"samples.":[144],"The":[145],"experiments":[146],"by":[147,168],"using":[148],"MSTAR":[150],"have":[152],"proven":[153],"that":[154],"our":[159,172],"can":[161,174],"be":[162,175],"close":[163],"accruacy":[166],"level":[167],"all":[169],"applied":[176],"other":[178],"feather":[179],"extraction":[180],"models":[181],"deal":[183],"with":[184],"sample":[186],"problems.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}