{"id":"https://openalex.org/W4391326549","doi":"https://doi.org/10.1109/lgrs.2024.3359692","title":"Memory-Augmented Autoencoder-Based Nonhomogeneous Detector for Airborne Radar Space-Time Adaptive Processing","display_name":"Memory-Augmented Autoencoder-Based Nonhomogeneous Detector for Airborne Radar Space-Time Adaptive Processing","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391326549","doi":"https://doi.org/10.1109/lgrs.2024.3359692"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2024.3359692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3359692","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/A5014293678","display_name":"Bo Zou","orcid":"https://orcid.org/0000-0001-9765-9335"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Zou","raw_affiliation_strings":["Air and Missile Defense College, Air Force Engineering University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Air and Missile Defense College, Air Force Engineering University, Xi’an, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327845","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0001-8714-4928"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Air and Missile Defense College, Air Force Engineering University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Air and Missile Defense College, Air Force Engineering University, Xi’an, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050477178","display_name":"Weike Feng","orcid":"https://orcid.org/0000-0002-4205-538X"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weike Feng","raw_affiliation_strings":["Air and Missile Defense College, Air Force Engineering University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Air and Missile Defense College, Air Force Engineering University, Xi’an, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102951516","display_name":"Fuyu Lu","orcid":"https://orcid.org/0000-0002-5964-9301"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuyu Lu","raw_affiliation_strings":["Air and Missile Defense College, Air Force Engineering University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Air and Missile Defense College, Air Force Engineering University, Xi’an, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023472523","display_name":"Hangui Zhu","orcid":"https://orcid.org/0000-0002-8479-6514"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hangui Zhu","raw_affiliation_strings":["Air and Missile Defense College, Air Force Engineering University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Air and Missile Defense College, Air Force Engineering University, Xi’an, China","institution_ids":["https://openalex.org/I4210104252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014293678"],"corresponding_institution_ids":["https://openalex.org/I4210104252"],"apc_list":null,"apc_paid":null,"fwci":2.5992,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.90253957,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"21","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":0.9968000054359436,"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":0.9968000054359436,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.996399998664856,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9962999820709229,"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/autoencoder","display_name":"Autoencoder","score":0.8181494474411011},{"id":"https://openalex.org/keywords/space-time-adaptive-processing","display_name":"Space-time adaptive processing","score":0.7198600172996521},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6535645127296448},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6350383758544922},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6346603035926819},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5756469368934631},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5646229982376099},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5343538522720337},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5087228417396545},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41957828402519226},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.41003793478012085},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.40746763348579407},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3904876410961151},{"id":"https://openalex.org/keywords/continuous-wave-radar","display_name":"Continuous-wave radar","score":0.32895874977111816},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3226556181907654},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.25555098056793213},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.197302907705307},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11943328380584717},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0821184515953064}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8181494474411011},{"id":"https://openalex.org/C190203512","wikidata":"https://www.wikidata.org/wiki/Q7572182","display_name":"Space-time adaptive processing","level":5,"score":0.7198600172996521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6535645127296448},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6350383758544922},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6346603035926819},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5756469368934631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5646229982376099},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5343538522720337},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5087228417396545},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41957828402519226},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.41003793478012085},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.40746763348579407},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3904876410961151},{"id":"https://openalex.org/C59584813","wikidata":"https://www.wikidata.org/wiki/Q1029234","display_name":"Continuous-wave radar","level":4,"score":0.32895874977111816},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3226556181907654},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.25555098056793213},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.197302907705307},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11943328380584717},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0821184515953064},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2024.3359692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3359692","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/G6127138681","display_name":null,"funder_award_id":"62001507","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":10,"referenced_works":["https://openalex.org/W1991305105","https://openalex.org/W2040975718","https://openalex.org/W2082712609","https://openalex.org/W2491483019","https://openalex.org/W2901866350","https://openalex.org/W2918889797","https://openalex.org/W2987228832","https://openalex.org/W3041201049","https://openalex.org/W3208982697","https://openalex.org/W4307547659"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W3017266184","https://openalex.org/W3194885736","https://openalex.org/W3046391934","https://openalex.org/W4363671829","https://openalex.org/W2130932512","https://openalex.org/W1485101530","https://openalex.org/W2170243420","https://openalex.org/W2106166662","https://openalex.org/W4206580878"],"abstract_inverted_index":{"For":[0],"airborne":[1],"radar":[2,71],"space-time":[3],"adaptive":[4],"processing":[5],"(STAP),":[6],"conventional":[7],"statistic-based":[8],"non-homogeneous":[9,38],"detectors":[10],"(NHDs)":[11],"can":[12,81,109,135],"help":[13],"to":[14,43,64,123],"eliminate":[15,84,124],"the":[16,28,37,65,79,85,92,106,125,129],"range":[17,31,87,112,127],"cells":[18,88,113],"contaminated":[19,86],"by":[20,138],"outliers,":[21],"while":[22],"their":[23,69],"performance":[24,93],"usually":[25],"depends":[26],"on":[27],"available":[29],"training":[30],"cells.":[32],"To":[33],"solve":[34],"this":[35,61],"problem,":[36],"detection":[39,48],"problem":[40,49],"is":[41,57],"transformed":[42],"an":[44],"out-of-distribution":[45],"(OOD)":[46],"data":[47],"and":[50,83,89,117],"a":[51,74],"deep":[52],"learning":[53],"(DL)":[54],"based":[55],"NHD":[56],"then":[58],"proposed":[59,107],"in":[60,73],"study.":[62],"According":[63],"reconstruction":[66],"errors":[67],"of":[68,94],"corresponding":[70],"signals":[72],"trained":[75],"complex-valued":[76],"memory-augmented":[77],"autoencoder,":[78],"DL-NHD":[80,108,122],"detect":[82,110],"thus":[90],"improve":[91],"STAP":[95,130],"effectively.":[96],"Simulation":[97],"results":[98],"show":[99],"that,":[100],"compared":[101],"with":[102,114],"three":[103],"existing":[104],"NHDs,":[105],"outlier-contaminated":[111,126],"0":[115,118],"miss-detection":[116],"false-detection.":[119],"After":[120],"using":[121],"cells,":[128],"output":[131],"signal-to-clutter-plus-noise-ratio":[132],"(SCNR)":[133],"loss":[134],"be":[136],"improved":[137],"about":[139],"10~20":[140],"dB.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}