{"id":"https://openalex.org/W4414080140","doi":"https://doi.org/10.1109/lsp.2025.3606788","title":"Multiscale Log-Euclidean Filtering on Matrix Manifolds for Enhanced Target Detection","display_name":"Multiscale Log-Euclidean Filtering on Matrix Manifolds for Enhanced Target Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414080140","doi":"https://doi.org/10.1109/lsp.2025.3606788"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3606788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3606788","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing 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":null,"display_name":"Yuxuan Liang","orcid":"https://orcid.org/0009-0009-1470-3237"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuxuan Liang","raw_affiliation_strings":["Department of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0009-0009-1470-3237","affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057732632","display_name":"Yibing Li","orcid":"https://orcid.org/0000-0003-4510-982X"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibing Li","raw_affiliation_strings":["Department of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-4510-982X","affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061279074","display_name":"Jialong Han","orcid":"https://orcid.org/0000-0001-5285-9210"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialong Han","raw_affiliation_strings":["Department of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038746835","display_name":"Gengzuo Liu","orcid":"https://orcid.org/0009-0007-4156-7766"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gengzuo Liu","raw_affiliation_strings":["Department of Nuclear Science and Technology, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0009-0007-4156-7766","affiliations":[{"raw_affiliation_string":"Department of Nuclear Science and Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100364347","display_name":"Tao Jiang","orcid":"https://orcid.org/0000-0001-8937-679X"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Jiang","raw_affiliation_strings":["Department of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-8937-679X","affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29780713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"3550","last_page":"3554"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.7603999972343445,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.7603999972343445,"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/T10057","display_name":"Face and Expression Recognition","score":0.7330999970436096,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.6552000045776367,"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/clutter","display_name":"Clutter","score":0.8533999919891357},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.7142999768257141},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6603999733924866},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6310999989509583},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.6040999889373779},{"id":"https://openalex.org/keywords/hermitian-matrix","display_name":"Hermitian matrix","score":0.5127000212669373},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.503600001335144},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.45179998874664307},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.43650001287460327},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.42480000853538513}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8533999919891357},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.7142999768257141},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6603999733924866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6492000222206116},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6310999989509583},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6097000241279602},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.6040999889373779},{"id":"https://openalex.org/C94940","wikidata":"https://www.wikidata.org/wiki/Q652941","display_name":"Hermitian matrix","level":2,"score":0.5127000212669373},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.503600001335144},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.45179998874664307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44440001249313354},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.43650001287460327},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.42480000853538513},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4124000072479248},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39250001311302185},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.38839998841285706},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3709000051021576},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.364300012588501},{"id":"https://openalex.org/C2778971668","wikidata":"https://www.wikidata.org/wiki/Q5510284","display_name":"Fusion rules","level":4,"score":0.33399999141693115},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.32919999957084656},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.32919999957084656},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C169756996","wikidata":"https://www.wikidata.org/wiki/Q194919","display_name":"Eigendecomposition of a matrix","level":3,"score":0.303600013256073},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.28119999170303345},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.26980000734329224},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.2687999904155731},{"id":"https://openalex.org/C64812099","wikidata":"https://www.wikidata.org/wiki/Q176604","display_name":"Random matrix","level":3,"score":0.2648000121116638},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3606788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3606788","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1975846363","https://openalex.org/W1981661998","https://openalex.org/W2042243448","https://openalex.org/W2075708426","https://openalex.org/W2118443009","https://openalex.org/W2133155955","https://openalex.org/W2150134853","https://openalex.org/W2164430105","https://openalex.org/W2901242031","https://openalex.org/W3009568371","https://openalex.org/W3082993992","https://openalex.org/W3116441872","https://openalex.org/W3164650786","https://openalex.org/W4388714139","https://openalex.org/W4390831585","https://openalex.org/W4399993993"],"related_works":["https://openalex.org/W2090152127","https://openalex.org/W1965169884","https://openalex.org/W2008939113","https://openalex.org/W3125580510","https://openalex.org/W2099606355","https://openalex.org/W2033213447","https://openalex.org/W14679004","https://openalex.org/W1566651525","https://openalex.org/W2977652649","https://openalex.org/W2355730941"],"abstract_inverted_index":{"In":[0],"complex":[1],"maritime":[2],"environments,":[3],"heavy-tailed":[4],"non-Gaussian":[5],"sea":[6,125],"clutter":[7,61],"presents":[8],"a":[9,33,46,108,131],"significant":[10],"challenge":[11],"for":[12,80],"radar":[13],"target":[14,23,57],"detection,":[15],"especially":[16],"at":[17,107],"low":[18],"signal-to-clutter":[19],"ratios":[20],"(SCR)":[21],"where":[22],"echoes":[24],"are":[25,68],"easily":[26],"masked.":[27],"To":[28],"overcome":[29],"this,":[30],"we":[31],"propose":[32],"multiscale":[34,47,74],"CFAR":[35,143],"detector":[36,129],"operating":[37],"on":[38,87],"the":[39,52,98,101,127,138],"Hermitian":[40],"Positive-Definite":[41],"(HPD)":[42],"matrix":[43],"manifold,":[44],"introducing":[45],"Gaussian-weighted":[48],"fusion":[49,76],"mechanism":[50],"in":[51,123,134],"Log-Euclidean":[53,71,139],"domain":[54],"to":[55,70],"enhance":[56],"responses":[58],"and":[59,90,118,144],"suppress":[60],"while":[62],"preserving":[63],"HPD":[64],"geometry.":[65],"Covariance":[66],"matrices":[67],"mapped":[69],"space,":[72],"enabling":[73],"weighted":[75],"across":[77,94],"selected":[78],"scales":[79],"improved":[81],"target-background":[82],"separation.":[83],"Monte":[84],"Carlo":[85],"simulations":[86],"both":[88],"synthetic":[89],"real":[91,124],"sea-clutter":[92],"data":[93],"various":[95],"SCRs":[96],"verify":[97],"effectiveness":[99],"of":[100,112,121],"method.":[102],"Experimental":[103],"results":[104],"show":[105],"that,":[106],"false":[109],"alarm":[110],"probability":[111,136],"<inline-formula":[113],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[114],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[115],"notation=\"LaTeX\">$\\bf":[116],"{10^{-3}}$</tex-math></inline-formula>":[117],"an":[119],"SCR":[120],"5dB":[122],"clutter,":[126],"proposed":[128],"achieves":[130],"28.2%":[132],"increase":[133],"detection":[135],"over":[137],"mean,":[140],"outperforming":[141],"conventional":[142],"LE-CFAR":[145],"methods.":[146]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}