{"id":"https://openalex.org/W2291936777","doi":"https://doi.org/10.1109/lgrs.2015.2510378","title":"Ship Detection in SAR Imagery via Variational Bayesian Inference","display_name":"Ship Detection in SAR Imagery via Variational Bayesian Inference","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2291936777","doi":"https://doi.org/10.1109/lgrs.2015.2510378","mag":"2291936777"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2015.2510378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2015.2510378","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/A5101976383","display_name":"Shengli Song","orcid":"https://orcid.org/0000-0001-6879-0027"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shengli Song","raw_affiliation_strings":["Department of Electronic Engineering, Luoyang Electronic Equipment Test Center, Luoyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Luoyang Electronic Equipment Test Center, Luoyang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101639733","display_name":"Bin Xu","orcid":"https://orcid.org/0000-0002-7120-4014"},"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":"Bin Xu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069000418","display_name":"Zenghui Li","orcid":"https://orcid.org/0000-0002-5356-6142"},"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":"Zenghui Li","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037577175","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0003-4887-3444"},"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":"Jian Yang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":84.6892,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.99683368,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"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":0.9983999729156494,"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":0.9983999729156494,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"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":0.9966999888420105,"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.786353588104248},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6518169045448303},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5845340490341187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5714730620384216},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5696272850036621},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.5635747909545898},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5596498847007751},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5362211465835571},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48094862699508667},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4471648931503296},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35535600781440735},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.2618847191333771}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.786353588104248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6518169045448303},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5845340490341187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5714730620384216},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5696272850036621},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.5635747909545898},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5596498847007751},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5362211465835571},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48094862699508667},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4471648931503296},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35535600781440735},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.2618847191333771},{"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.2015.2510378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2015.2510378","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":[{"id":"https://metadata.un.org/sdg/14","score":0.75,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W36506911","https://openalex.org/W62203920","https://openalex.org/W142575998","https://openalex.org/W2006467595","https://openalex.org/W2006516693","https://openalex.org/W2094236270","https://openalex.org/W2110791451","https://openalex.org/W2119391693","https://openalex.org/W2133504205","https://openalex.org/W2141159272","https://openalex.org/W2166447305","https://openalex.org/W2167220279","https://openalex.org/W2963762195","https://openalex.org/W6602535662"],"related_works":["https://openalex.org/W2545123933","https://openalex.org/W2585813813","https://openalex.org/W3110962985","https://openalex.org/W2042726296","https://openalex.org/W2081203575","https://openalex.org/W2793406240","https://openalex.org/W2096748030","https://openalex.org/W3016428515","https://openalex.org/W2160730947","https://openalex.org/W2747205507"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"we":[3,21,49],"propose":[4],"a":[5,37,44,93],"novel":[6],"ship":[7,24,105],"detection":[8,25,106],"method":[9,76,101],"in":[10,57],"synthetic":[11,90],"aperture":[12],"radar":[13],"(SAR)":[14],"imagery":[15],"via":[16],"variational":[17,62],"Bayesian":[18,63],"inference.":[19],"First,":[20],"establish":[22],"the":[23,30,34,54,58,67,71,99],"probabilistic":[26],"model":[27,59],"which":[28],"decomposes":[29],"SAR":[31,95],"image":[32,96],"as":[33],"sum":[35],"of":[36,53,70],"sparse":[38],"component":[39],"associated":[40],"with":[41],"ships":[42],"and":[43,60,92],"sea":[45],"clutter":[46],"component.":[47],"Then,":[48],"introduce":[50],"hierarchical":[51],"priors":[52],"latent":[55,72],"variables":[56],"use":[61],"inference":[64],"to":[65],"estimate":[66],"posterior":[68],"distributions":[69],"variables.":[73],"The":[74],"proposed":[75,100],"is":[77],"an":[78],"automatic":[79],"iterative":[80],"process":[81],"without":[82],"any":[83],"sliding":[84],"window.":[85],"Experimental":[86],"results":[87],"accomplished":[88],"over":[89],"data":[91],"RADARSAT-2":[94],"demonstrate":[97],"that":[98],"can":[102],"achieve":[103],"state-of-the-art":[104],"performance.":[107]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}