{"id":"https://openalex.org/W4376607982","doi":"https://doi.org/10.1109/lgrs.2023.3276421","title":"Detection Method of Radar Space Target Abnormal Motion via Local Density Peaks and Micro-Motion Feature","display_name":"Detection Method of Radar Space Target Abnormal Motion via Local Density Peaks and Micro-Motion Feature","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4376607982","doi":"https://doi.org/10.1109/lgrs.2023.3276421"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3276421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3276421","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/A5046768211","display_name":"D.-S. Wang","orcid":"https://orcid.org/0000-0001-6854-0239"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dehua Wang","raw_affiliation_strings":["Department of Electronic, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438655","display_name":"Gang Li","orcid":"https://orcid.org/0000-0001-9755-2781"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Li","raw_affiliation_strings":["Department of Electronic, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043196037","display_name":"Zhichun Zhao","orcid":"https://orcid.org/0000-0002-6324-944X"},"institutions":[{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]},{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]},{"id":"https://openalex.org/I4388482657","display_name":"Shenzhen MSU-BIT University","ror":"https://ror.org/02q963474","country_code":null,"type":"education","lineage":["https://openalex.org/I4388482657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichun Zhao","raw_affiliation_strings":["Guangdong Laboratory of Machine Perception and Intelligent Computing, Shenzhen, China","Shenzhen MSU-BIT University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Laboratory of Machine Perception and Intelligent Computing, Shenzhen, China","institution_ids":["https://openalex.org/I4210142539"]},{"raw_affiliation_string":"Shenzhen MSU-BIT University, Shenzhen, China","institution_ids":["https://openalex.org/I4210152380","https://openalex.org/I4388482657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019758018","display_name":"Jianwen Wang","orcid":"https://orcid.org/0000-0003-0211-2519"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwen Wang","raw_affiliation_strings":["Department of Electronic, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101423196","display_name":"Shuai Ding","orcid":"https://orcid.org/0000-0001-6754-5556"},"institutions":[{"id":"https://openalex.org/I2800372957","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83","country_code":"CN","type":"company","lineage":["https://openalex.org/I2800372957"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Ding","raw_affiliation_strings":["38th Research Institute of China Electronics Technology Group Corporation, Hefei, China"],"affiliations":[{"raw_affiliation_string":"38th Research Institute of China Electronics Technology Group Corporation, Hefei, China","institution_ids":["https://openalex.org/I2800372957"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100676184","display_name":"Kunpeng Wang","orcid":"https://orcid.org/0000-0002-7871-624X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kunpeng Wang","raw_affiliation_strings":["Beijing Institute of Tracking and Telecommunications Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Tracking and Telecommunications Technology, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089242422","display_name":"Meiya Duan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meiya Duan","raw_affiliation_strings":["Beijing Institute of Tracking and Telecommunications Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Tracking and Telecommunications Technology, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5046768211"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.7539,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81356523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9947999715805054,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9843999743461609,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.719328761100769},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6106053590774536},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.554124116897583},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5499680042266846},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5481177568435669},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5340734124183655},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5334226489067078},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5285547971725464},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5225143432617188},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.5080256462097168},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.5036899447441101},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4886825382709503},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4874687194824219},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4809664785861969},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3331044018268585}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.719328761100769},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6106053590774536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.554124116897583},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5499680042266846},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5481177568435669},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5340734124183655},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5334226489067078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5285547971725464},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5225143432617188},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.5080256462097168},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.5036899447441101},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4886825382709503},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4874687194824219},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4809664785861969},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3331044018268585},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"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":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3276421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3276421","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":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4541440056","display_name":null,"funder_award_id":"62101304","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8362816022","display_name":null,"funder_award_id":"61925106","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":26,"referenced_works":["https://openalex.org/W1484799165","https://openalex.org/W1983834069","https://openalex.org/W2071472167","https://openalex.org/W2153594606","https://openalex.org/W2312351803","https://openalex.org/W2415458299","https://openalex.org/W2508581582","https://openalex.org/W2606436201","https://openalex.org/W2803271315","https://openalex.org/W2810357052","https://openalex.org/W2894951230","https://openalex.org/W2900741051","https://openalex.org/W2966530783","https://openalex.org/W2970865912","https://openalex.org/W2970911204","https://openalex.org/W2973357901","https://openalex.org/W3023114764","https://openalex.org/W3045521046","https://openalex.org/W3136467379","https://openalex.org/W3167718882","https://openalex.org/W3173309579","https://openalex.org/W3175507822","https://openalex.org/W4224218492","https://openalex.org/W4226026982","https://openalex.org/W4226337644","https://openalex.org/W4312717825"],"related_works":["https://openalex.org/W2998914036","https://openalex.org/W2388326001","https://openalex.org/W2105642232","https://openalex.org/W1983393909","https://openalex.org/W2165968459","https://openalex.org/W2040150569","https://openalex.org/W1989866424","https://openalex.org/W2132174924","https://openalex.org/W2013909972","https://openalex.org/W1911540634"],"abstract_inverted_index":{"Micro-motion":[0],"feature":[1,43,64,76],"vectors":[2,77],"of":[3,16,30,98,122],"space":[4,32],"targets":[5],"are":[6,54],"usually":[7],"unevenly":[8],"and":[9,41,87,92,107,132],"multi-cluster":[10],"distributed,":[11],"which":[12],"limits":[13],"the":[14,57,67,75,83,95,102,119,123,141],"performance":[15],"traditional":[17],"radar":[18,31,58],"anomaly":[19],"detection":[20,28,120],"methods.":[21],"To":[22],"solve":[23],"this":[24,47],"problem,":[25],"a":[26,62],"novel":[27],"method":[29,36,125],"target":[33],"abnormal":[34,68],"motion":[35,69],"via":[37],"local":[38,84,103],"density":[39,85,104],"peaks":[40,86],"micro-motion":[42,52],"is":[44,71,126,145],"proposed":[45,124],"in":[46],"paper.":[48],"Firstly,":[49],"two":[50],"discriminative":[51],"features":[53],"extracted":[55],"from":[56],"echoes":[59],"to":[60,82],"construct":[61],"2-D":[63],"space.":[65],"Then":[66],"detector":[70],"derived":[72],"by":[73],"classifying":[74],"into":[78],"different":[79],"clusters":[80],"according":[81],"minimum":[88],"spanning":[89],"tree":[90],"clustering,":[91],"solving":[93],"for":[94],"decision":[96],"thresholds":[97],"each":[99],"cluster":[100],"with":[101],"peaks,":[105],"neighbors":[106],"some":[108],"preset":[109],"false":[110,142],"alarm":[111,143],"rates.":[112],"Electromagnetic":[113],"simulation":[114],"experiment":[115],"results":[116],"demonstrate":[117],"that":[118],"rate":[121,144],"2.49%,":[127],"5.26%,":[128],"9.63%,":[129],"15.37%,":[130],"27.99%":[131],"49.45%":[133],"higher":[134],"than":[135],"six":[136],"state-of-art":[137],"methods":[138],"respectively":[139],"when":[140],"5%.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
