{"id":"https://openalex.org/W7115715836","doi":"https://doi.org/10.1109/lgrs.2025.3645680","title":"Matrix-Inversion-Free Sparse Bayesian Learning for High-Resolution Radar Imagery via Improved Variational Inference","display_name":"Matrix-Inversion-Free Sparse Bayesian Learning for High-Resolution Radar Imagery via Improved Variational Inference","publication_year":2025,"publication_date":"2025-12-17","ids":{"openalex":"https://openalex.org/W7115715836","doi":"https://doi.org/10.1109/lgrs.2025.3645680"},"language":null,"primary_location":{"id":"doi:10.1109/lgrs.2025.3645680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3645680","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":null,"display_name":"Weitian Sun","orcid":"https://orcid.org/0009-0000-6464-3636"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weitian Sun","raw_affiliation_strings":["Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0000-6464-3636","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ming Sun","orcid":"https://orcid.org/0009-0002-6753-3568"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Sun","raw_affiliation_strings":["Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0002-6753-3568","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zenan Zhang","orcid":"https://orcid.org/0009-0000-4881-9005"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zenan Zhang","raw_affiliation_strings":["Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0000-4881-9005","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peng Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Sun","raw_affiliation_strings":["Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"last","author":{"id":null,"display_name":"Lei Yang","orcid":"https://orcid.org/0000-0002-3856-0914"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Yang","raw_affiliation_strings":["Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-3856-0914","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I28813325"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.66309907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","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":0.44909998774528503,"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":0.44909998774528503,"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":0.2418999969959259,"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"}},{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.052299998700618744,"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/bayesian-inference","display_name":"Bayesian inference","score":0.6136000156402588},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5665000081062317},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.49939998984336853},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4837999939918518},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.482699990272522},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4375},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.40459999442100525},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.3928000032901764},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.3887999951839447},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3846000134944916}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67330002784729},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.6136000156402588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5841000080108643},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5665000081062317},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5091999769210815},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.49939998984336853},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4837999939918518},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.482699990272522},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4375},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.40459999442100525},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.3928000032901764},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3887999951839447},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3846000134944916},{"id":"https://openalex.org/C2777472644","wikidata":"https://www.wikidata.org/wiki/Q16968992","display_name":"Approximate inference","level":3,"score":0.36469998955726624},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.35179999470710754},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.35100001096725464},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.33399999141693115},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.30630001425743103},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.29679998755455017},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.296099990606308},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.2913999855518341},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28299999237060547},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.27489998936653137},{"id":"https://openalex.org/C134406370","wikidata":"https://www.wikidata.org/wiki/Q832005","display_name":"Radar engineering details","level":4,"score":0.2685000002384186},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.26649999618530273},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3645680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3645680","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/G53973265","display_name":null,"funder_award_id":"62271487","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1964891585","https://openalex.org/W2000721204","https://openalex.org/W2013352441","https://openalex.org/W3008611329","https://openalex.org/W3165210976","https://openalex.org/W4200214139","https://openalex.org/W4376851351","https://openalex.org/W4386275560","https://openalex.org/W4387475948","https://openalex.org/W4406387950","https://openalex.org/W4411640038","https://openalex.org/W4414530346"],"related_works":[],"abstract_inverted_index":{"Sparse":[0],"Bayesian":[1,34],"learning":[2],"(SBL)":[3],"is":[4,31,84,100,106],"an":[5],"advanced":[6],"statistical":[7],"framework":[8],"that":[9,155],"dominantly":[10],"enhances":[11],"the":[12,32,39,53,89,95,126,131,139,156],"sparse":[13],"features":[14],"of":[15,17,112,141],"targets":[16],"interest":[18],"in":[19,29,44,67],"radar":[20,69,143,152],"imagery.":[21,144],"A":[22],"widely":[23],"adopted":[24],"strategy":[25],"for":[26,52,133,138],"posterior":[27,46,54],"approximation":[28],"SBL":[30,77],"variational":[33],"(VB)":[35],"inference,":[36],"which":[37,115],"circumvents":[38],"intractable":[40],"high-dimensional":[41],"integrals":[42],"involved":[43],"direct":[45,134],"computation":[47],"and":[48,150],"yields":[49],"closed-form":[50],"expressions":[51],"moments.":[55],"However,":[56],"conventional":[57,169],"VB":[58,82],"inference":[59,83],"suffers":[60],"from":[61],"computationally":[62],"expensive":[63],"matrix":[64,104,135],"inversions,":[65],"particularly":[66],"high-resolution":[68,142],"imaging":[70],"scenarios.":[71],"To":[72],"this":[73,87],"end,":[74],"a":[75,110],"matrix-inversion-free":[76],"(MIF-SBL)":[78],"method":[79,124],"via":[80,119],"improved":[81,160],"proposed.":[85],"Within":[86],"framework,":[88],"sparsity-inducing":[90],"hierarchical":[91],"scheme":[92],"based":[93],"on":[94,147],"scaled":[96],"Gaussian":[97],"mixture":[98],"model":[99],"retained,":[101],"while":[102,163],"explicit":[103],"inversion":[105],"replaced":[107],"by":[108,129],"solving":[109],"series":[111],"linear":[113],"problems,":[114],"are":[116],"efficiently":[117],"handled":[118],"matrix\u2013matrix":[120],"multiplications.":[121],"The":[122],"proposed":[123,157],"reduces":[125],"computational":[127,161],"cost":[128],"eliminating":[130],"need":[132],"inversion,":[136],"especially":[137],"reconstruction":[140,165],"Extensive":[145],"experiments":[146],"both":[148],"simulated":[149],"real":[151],"datasets":[153],"demonstrate":[154],"approach":[158],"achieves":[159],"efficiency":[162],"maintaining":[164],"accuracy":[166],"comparable":[167],"to":[168],"SBL.":[170]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-12-17T00:00:00"}