{"id":"https://openalex.org/W4289203581","doi":"https://doi.org/10.3390/rs14153669","title":"Few Shot Object Detection for SAR Images via Feature Enhancement and Dynamic Relationship Modeling","display_name":"Few Shot Object Detection for SAR Images via Feature Enhancement and Dynamic Relationship Modeling","publication_year":2022,"publication_date":"2022-07-31","ids":{"openalex":"https://openalex.org/W4289203581","doi":"https://doi.org/10.3390/rs14153669"},"language":"en","primary_location":{"id":"doi:10.3390/rs14153669","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14153669","pdf_url":"https://www.mdpi.com/2072-4292/14/15/3669/pdf?version=1659338479","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/2072-4292/14/15/3669/pdf?version=1659338479","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101498966","display_name":"Shiqi Chen","orcid":"https://orcid.org/0009-0000-7190-462X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqi Chen","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100666966","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0003-2169-8041"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012515711","display_name":"Ronghui Zhan","orcid":"https://orcid.org/0000-0001-6799-620X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ronghui Zhan","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003640513","display_name":"Rongqiang Zhu","orcid":"https://orcid.org/0000-0001-6496-7729"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongqiang Zhu","raw_affiliation_strings":["Southwest Electronics and Telecommunication Technology Research Institute, Chengdu 610000, China"],"affiliations":[{"raw_affiliation_string":"Southwest Electronics and Telecommunication Technology Research Institute, Chengdu 610000, China","institution_ids":["https://openalex.org/I4210136246"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100776069","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-3421-3835"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5012515711"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":11.4707,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.97786798,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"14","issue":"15","first_page":"3669","last_page":"3669"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9972000122070312,"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":0.9873999953269958,"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/computer-science","display_name":"Computer science","score":0.843106746673584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6858313083648682},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6032652854919434},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5415788292884827},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.49780964851379395},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.44320547580718994},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3516351878643036},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34828054904937744},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33829593658447266}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.843106746673584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6858313083648682},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6032652854919434},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5415788292884827},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.49780964851379395},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.44320547580718994},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3516351878643036},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34828054904937744},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33829593658447266},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14153669","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14153669","pdf_url":"https://www.mdpi.com/2072-4292/14/15/3669/pdf?version=1659338479","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:1acb562e4ac84d389784d6641cc22b91","is_oa":true,"landing_page_url":"https://doaj.org/article/1acb562e4ac84d389784d6641cc22b91","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 15, p 3669 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/15/3669/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14153669","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 15; Pages: 3669","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14153669","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14153669","pdf_url":"https://www.mdpi.com/2072-4292/14/15/3669/pdf?version=1659338479","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/G233577887","display_name":null,"funder_award_id":"61901500","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/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5515752258","display_name":null,"funder_award_id":"619015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/G638029415","display_name":null,"funder_award_id":"2020JJ5674","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G8199786152","display_name":null,"funder_award_id":"2020JJ5674","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/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4289203581.pdf","grobid_xml":"https://content.openalex.org/works/W4289203581.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W2144158572","https://openalex.org/W2193145675","https://openalex.org/W2565639579","https://openalex.org/W2613718673","https://openalex.org/W2752782242","https://openalex.org/W2783266131","https://openalex.org/W2963351448","https://openalex.org/W2964241181","https://openalex.org/W2983156430","https://openalex.org/W2996583130","https://openalex.org/W3009213340","https://openalex.org/W3012162230","https://openalex.org/W3033996275","https://openalex.org/W3034421924","https://openalex.org/W3034974675","https://openalex.org/W3097651496","https://openalex.org/W3106250896","https://openalex.org/W3110528336","https://openalex.org/W3111586415","https://openalex.org/W3112594048","https://openalex.org/W3131740536","https://openalex.org/W3132437036","https://openalex.org/W3145005606","https://openalex.org/W3163623915","https://openalex.org/W3191799143","https://openalex.org/W3204910850","https://openalex.org/W3205363943","https://openalex.org/W3208926440","https://openalex.org/W3214040583","https://openalex.org/W3214849203","https://openalex.org/W4205338556","https://openalex.org/W4207076822","https://openalex.org/W4213156196","https://openalex.org/W4214527475","https://openalex.org/W4220736631","https://openalex.org/W4221044012","https://openalex.org/W4221056724","https://openalex.org/W4226400196","https://openalex.org/W4285133336","https://openalex.org/W6790970608","https://openalex.org/W6791050018","https://openalex.org/W6795781211","https://openalex.org/W6802495268","https://openalex.org/W6802858361","https://openalex.org/W6804200948","https://openalex.org/W6805691052","https://openalex.org/W6807422500","https://openalex.org/W6809473211","https://openalex.org/W6811295442"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W4281727072","https://openalex.org/W2560201613","https://openalex.org/W3154990682","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W1589637664","https://openalex.org/W1532073221","https://openalex.org/W2377538627","https://openalex.org/W2107220315"],"abstract_inverted_index":{"Current":[0],"Synthetic":[1],"Aperture":[2],"Radar":[3],"(SAR)":[4],"image":[5],"object":[6,62,100,209,219],"detection":[7,49,63,101,210,220],"methods":[8],"require":[9],"huge":[10],"amounts":[11],"of":[12,31,79,91,97,216],"annotated":[13,86],"data":[14],"and":[15,74,151,174,192,235],"can":[16],"only":[17,83],"detect":[18],"the":[19,24,29,35,38,48,71,89,95,98,114,119,147,187,205,214,230,237],"categories":[20],"that":[21],"appears":[22],"in":[23,34,157,178,222],"training":[25,32],"set.":[26],"Due":[27],"to":[28,108,131,141,227],"lack":[30],"samples":[33],"real":[36],"applications,":[37],"performance":[39,96,231,238],"decreases":[40],"sharply":[41],"on":[42,204,232,239],"rare":[43],"categories,":[44],"which":[45,67,154,182,212],"largely":[46],"inhibits":[47],"model":[50],"from":[51,186,194],"reaching":[52],"robustness.":[53],"To":[54,144],"tackle":[55],"this":[56],"problem,":[57],"a":[58,84,128,161,170],"novel":[59,233],"few-shot":[60,99,218],"SAR":[61,207],"framework":[64,221],"is":[65,68,155,166],"proposed,":[66],"built":[69],"upon":[70],"meta-learning":[72],"architecture":[73],"aims":[75],"at":[76],"detecting":[77],"objects":[78],"unseen":[80],"classes":[81,196,234],"given":[82],"few":[85],"examples.":[87],"Observing":[88],"quality":[90],"support":[92,123,142,150],"features":[93,111,185,226],"determines":[94],"task,":[102],"we":[103,125],"propose":[104],"an":[105],"attention":[106],"mechanism":[107],"highlight":[109],"class-specific":[110],"while":[112],"softening":[113],"irrelevant":[115],"background":[116],"information.":[117],"Considering":[118],"variation":[120],"between":[121,149],"different":[122,195],"images,":[124,153],"also":[126],"employ":[127],"support-guided":[129],"module":[130],"enhance":[132,229],"query":[133,152],"features,":[134],"thus":[135],"generating":[136],"high-qualified":[137],"proposals":[138],"more":[139,190,197,224],"relevant":[140],"images.":[143],"further":[145],"exploit":[146],"relevance":[148],"ignored":[156],"single":[158],"class":[159],"representation,":[160],"dynamic":[162],"relationship":[163],"learning":[164,223],"paradigm":[165],"designed":[167],"via":[168],"constructing":[169],"graph":[171],"convolutional":[172],"network":[173],"imposing":[175],"orthogonality":[176],"constraint":[177],"hidden":[179],"feature":[180],"space,":[181],"both":[183,228],"make":[184],"same":[188],"category":[189],"closer":[191],"those":[193],"separable.":[198],"Comprehensive":[199],"experiments":[200],"have":[201],"been":[202],"completed":[203],"self-constructed":[206],"multi-class":[208],"dataset,":[211],"demonstrate":[213],"effectiveness":[215],"our":[217],"generalized":[225],"maintain":[236],"base":[240],"classes.":[241]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
