{"id":"https://openalex.org/W4213312344","doi":"https://doi.org/10.1109/lgrs.2022.3153092","title":"Single-Channel Circular SAR Ground Moving Target Detection Based on LRSD and Adaptive Threshold Detector","display_name":"Single-Channel Circular SAR Ground Moving Target Detection Based on LRSD and Adaptive Threshold Detector","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4213312344","doi":"https://doi.org/10.1109/lgrs.2022.3153092"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3153092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3153092","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/A5010114534","display_name":"Zhiguo Zhang","orcid":"https://orcid.org/0000-0002-5141-8234"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","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"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Zhang","raw_affiliation_strings":["Key Laboratory of Technology in Geospatial Information Processing and Application System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5141-8234","affiliations":[{"raw_affiliation_string":"Key Laboratory of Technology in Geospatial Information Processing and Application System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020325868","display_name":"Wenjie Shen","orcid":"https://orcid.org/0000-0001-7442-4605"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Shen","raw_affiliation_strings":["School of Information Science and Technology, North China University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7442-4605","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086281345","display_name":"Yun Lin","orcid":"https://orcid.org/0000-0002-3020-5715"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Lin","raw_affiliation_strings":["School of Information Science and Technology, North China University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3020-5715","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101750735","display_name":"Wen Hong","orcid":"https://orcid.org/0000-0002-8645-2264"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","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":"Wen Hong","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.818,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.94504941,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994000196456909,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.6948935985565186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6725606918334961},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6173871755599976},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.6078914403915405},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5992396473884583},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.545109748840332},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.5329343676567078},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4541461169719696},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4269542694091797},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41378456354141235},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.4106300473213196},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.24713420867919922},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.22017720341682434}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6948935985565186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6725606918334961},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6173871755599976},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.6078914403915405},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5992396473884583},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.545109748840332},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.5329343676567078},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4541461169719696},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4269542694091797},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41378456354141235},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.4106300473213196},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.24713420867919922},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.22017720341682434},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3153092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3153092","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/G1195458938","display_name":null,"funder_award_id":"61860206013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2983900931","display_name":null,"funder_award_id":"110051360002","funder_id":"https://openalex.org/F4320325862","funder_display_name":"North China University of Technology"},{"id":"https://openalex.org/G5053901180","display_name":null,"funder_award_id":"110052972027/119","funder_id":"https://openalex.org/F4320321793","funder_display_name":"Beijing Municipal Education Commission"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321793","display_name":"Beijing Municipal Education Commission","ror":"https://ror.org/04bpn6s66"},{"id":"https://openalex.org/F4320325862","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1982303641","https://openalex.org/W2030806562","https://openalex.org/W2050499609","https://openalex.org/W2100043046","https://openalex.org/W2103972604","https://openalex.org/W2118809607","https://openalex.org/W2133059825","https://openalex.org/W2156643866","https://openalex.org/W2171882806","https://openalex.org/W2171912497","https://openalex.org/W2321585011","https://openalex.org/W2800135620","https://openalex.org/W2803169163","https://openalex.org/W2946359540","https://openalex.org/W3009775417","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W2388326001","https://openalex.org/W3011102797","https://openalex.org/W4320921117","https://openalex.org/W2351401443","https://openalex.org/W2115015615","https://openalex.org/W1968850503","https://openalex.org/W1649651896","https://openalex.org/W2116961228","https://openalex.org/W1952514008","https://openalex.org/W4387803549"],"abstract_inverted_index":{"Due":[0],"to":[1,117,122,150],"the":[2,32,49,60,64,76,85,92,131,135,140,151,184,198,204,208],"advantages":[3],"of":[4,23,59,78,134,171,189,197],"long-time":[5],"and":[6,63,80,101,126],"multi-angle":[7],"observation,":[8],"ground":[9],"moving":[10,38],"target":[11,39],"detection":[12,40,177],"with":[13,191],"circular":[14,43],"synthetic":[15],"aperture":[16],"radar":[17],"(SAR)":[18],"has":[19,29],"recently":[20],"attracted":[21],"lots":[22],"interest":[24],"from":[25],"researchers.":[26],"Our":[27],"team":[28],"previously":[30],"proposed":[31,107,199],"logarithm":[33],"background":[34,50,79,125],"subtraction":[35],"algorithm":[36,97,200],"for":[37],"in":[41,108,120,165],"single-channel":[42],"SAR.":[44],"Its":[45],"principle":[46],"is":[47,54,69,106,138,163,169,179,201],"that":[48],"image":[51,61,66,137,172],"(static":[52],"clutter)":[53],"obtained":[55,70,180],"by":[56,71,203],"median":[57],"filtering":[58],"sequence,":[62],"foreground":[65,81,127,136,152],"(moving":[67],"target)":[68],"subtraction.":[72],"To":[73],"further":[74],"improve":[75],"performance":[77],"separation,":[82],"we":[83],"introduce":[84],"low-rank":[86],"sparse":[87],"decomposition":[88],"(LRSD)":[89],"method":[90],"into":[91],"previous":[93],"framework.":[94],"A":[95],"new":[96],"based":[98],"on":[99,161,207],"LRSD":[100,121],"adaptive":[102,156],"threshold":[103,157],"detector":[104,146,158],"(ATD)":[105,159],"this":[109,112,166],"letter.":[110],"First,":[111],"letter":[113],"introduces":[114],"entropy":[115],"metric":[116],"optimize":[118],"parameters":[119],"obtain":[123],"better":[124],"separation.":[128],"Second,":[129],"since":[130],"statistical":[132,173],"distribution":[133],"unknown,":[139],"constant":[141],"false":[142],"alarm":[143],"rate":[144],"(CFAR)":[145],"cannot":[147],"be":[148],"applied":[149],"image.":[153],"Therefore,":[154],"an":[155],"built":[160],"Otsu":[162],"presented":[164],"letter,":[167],"which":[168],"independent":[170],"properties.":[174],"The":[175,195],"final":[176],"result":[178],"via":[181],"clustering":[182,188],"using":[183],"modified":[185],"density-based":[186],"spatial":[187],"applications":[190],"noise":[192],"(DBSCAN)":[193],"method.":[194],"effectiveness":[196],"verified":[202],"experimental":[205],"results":[206],"airborne":[209],"X-band":[210],"Gotcha":[211],"Volumetric":[212],"SAR":[213],"Data.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}