{"id":"https://openalex.org/W2315312151","doi":"https://doi.org/10.3724/sp.j.1146.2012.01333","title":"Robust Detection in Compound Gaussian Clutter Based on Bayesian Framework","display_name":"Robust Detection in Compound Gaussian Clutter Based on Bayesian Framework","publication_year":2014,"publication_date":"2014-02-24","ids":{"openalex":"https://openalex.org/W2315312151","doi":"https://doi.org/10.3724/sp.j.1146.2012.01333","mag":"2315312151"},"language":"en","primary_location":{"id":"doi:10.3724/sp.j.1146.2012.01333","doi":"https://doi.org/10.3724/sp.j.1146.2012.01333","is_oa":true,"landing_page_url":"https://doi.org/10.3724/sp.j.1146.2012.01333","pdf_url":null,"source":{"id":"https://openalex.org/S4210210811","display_name":"JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY","issn_l":"1009-5896","issn":["1009-5896"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310311952","host_organization_name":"Chinese Academy of Sciences, Institute of Electronics","host_organization_lineage":["https://openalex.org/P4310311952"],"host_organization_lineage_names":["Chinese Academy of Sciences, Institute of Electronics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronics & Information Technology","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3724/sp.j.1146.2012.01333","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kun Zou","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kun Zou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052210425","display_name":"Guisheng Liao","orcid":"https://orcid.org/0000-0002-5919-0713","observed_orcids":["https://orcid.org/0000-0002-5919-0713","https://orcid.org/0000-0003-4655-7536","https://orcid.org/0000-0002-3334-2985"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gui-sheng Liao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107520099","display_name":"Jun Li","orcid":"https://orcid.org/0009-0004-8070-4688","observed_orcids":["https://orcid.org/0009-0004-8070-4688"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100739395","display_name":"Wei Li","orcid":"https://orcid.org/0000-0003-1910-2114","observed_orcids":["https://orcid.org/0000-0003-1910-2114"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6039,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82717788,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"35","issue":"7","first_page":"1555","last_page":"1561"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9984999895095825,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9984999895095825,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.00019999999494757503,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compound-gaussian-clutter","display_name":"compound-Gaussian clutter","score":0.9729999899864197},{"id":"https://openalex.org/keywords/target-detection","display_name":"target detection","score":0.8140000104904175},{"id":"https://openalex.org/keywords/bayesian-detection","display_name":"Bayesian detection","score":0.6779999732971191},{"id":"https://openalex.org/keywords/prior-distributions","display_name":"prior distributions","score":0.6970000267028809},{"id":"https://openalex.org/keywords/jeffreys-prior","display_name":"Jeffreys prior","score":0.9629999995231628},{"id":"https://openalex.org/keywords/conjugate-priors","display_name":"conjugate priors","score":0.9710000157356262},{"id":"https://openalex.org/keywords/detection-robustness","display_name":"detection robustness","score":0.6669999957084656},{"id":"https://openalex.org/keywords/sea-clutter","display_name":"sea clutter","score":0.6299999952316284},{"id":"https://openalex.org/keywords/non-gaussian-clutter","display_name":"non-Gaussian clutter","score":0.718999981880188}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8179969787597656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6346755623817444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6127779483795166},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.6077536344528198},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.49241650104522705},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.4316129684448242},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4292013347148895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3864409625530243},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3395277261734009},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.12412148714065552},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0998428463935852},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3724/sp.j.1146.2012.01333","doi":"https://doi.org/10.3724/sp.j.1146.2012.01333","is_oa":true,"landing_page_url":"https://doi.org/10.3724/sp.j.1146.2012.01333","pdf_url":null,"source":{"id":"https://openalex.org/S4210210811","display_name":"JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY","issn_l":"1009-5896","issn":["1009-5896"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310311952","host_organization_name":"Chinese Academy of Sciences, Institute of Electronics","host_organization_lineage":["https://openalex.org/P4310311952"],"host_organization_lineage_names":["Chinese Academy of Sciences, Institute of Electronics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronics & Information Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3724/sp.j.1146.2012.01333","doi":"https://doi.org/10.3724/sp.j.1146.2012.01333","is_oa":true,"landing_page_url":"https://doi.org/10.3724/sp.j.1146.2012.01333","pdf_url":null,"source":{"id":"https://openalex.org/S4210210811","display_name":"JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY","issn_l":"1009-5896","issn":["1009-5896"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310311952","host_organization_name":"Chinese Academy of Sciences, Institute of Electronics","host_organization_lineage":["https://openalex.org/P4310311952"],"host_organization_lineage_names":["Chinese Academy of Sciences, Institute of Electronics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronics & Information Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2328222326","https://openalex.org/W4205294258","https://openalex.org/W2078194673","https://openalex.org/W2312487024","https://openalex.org/W4403921052","https://openalex.org/W2978190693","https://openalex.org/W1992025991","https://openalex.org/W2168703653","https://openalex.org/W3207243239","https://openalex.org/W2323539765"],"abstract_inverted_index":{"\u590d\u5408\u9ad8\u65af\u6742\u6ce2\u4e2d\u7684\u7eb9\u7406\u5206\u91cf\u51b3\u5b9a\u4e86\u6742\u6ce2\u7684\u975e\u9ad8\u65af\u6027\uff0c\u800c\u7eb9\u7406\u5206\u91cf\u7684\u4e0d\u786e\u5b9a\u6027\u4f1a\u5f71\u54cd\u5e38\u89c4\u68c0\u6d4b\u5668\u7684\u6027\u80fd\u3002\u57fa\u4e8eBayes\u6846\u67b6\uff0c\u8be5\u6587\u91c7\u7528\u5148\u9a8c\u5206\u5e03\u63cf\u8ff0\u6742\u6ce2\u7eb9\u7406\u5206\u91cf\u7684\u4e0d\u786e\u5b9a\u6027\uff0c\u5206\u6790\u5148\u9a8c\u6a21\u578b\u9009\u62e9\u5bf9\u68c0\u6d4b\u5668\u68c0\u6d4b\u6027\u80fd\u4e0e\u7a33\u5065\u6027\u7684\u5f71\u54cd\u3002\u5148\u9a8c\u4fe1\u606f\u6a21\u578b\u5305\u62ec\u65e0\u4fe1\u606f\u5148\u9a8c\u5206\u5e03\u548c\u6709\u4fe1\u606f\u5148\u9a8c\u5206\u5e03\u3002\u65e0\u4fe1\u606f\u5148\u9a8c\u5206\u5e03\u5305\u62ecJeffery\u5148\u9a8c\u6a21\u578b\u548c\u5e7f\u4e49\u65e0\u4fe1\u606f\u5148\u9a8c\u6a21\u578b\u4e24\u79cd\uff0c\u6240\u5f97\u5230\u7684\u68c0\u6d4b\u5668\u7ed3\u6784\u5c31\u662f\u5f52\u4e00\u5316\u5339\u914d\u6ee4\u6ce2\u5668(NMF)\u3002\u6709\u4fe1\u606f\u5148\u9a8c\u6a21\u578b\u91c7\u7528\u5171\u8f6d\u5148\u9a8c\u5206\u5e03\uff0c\u5f97\u5230\u7684\u662f\u4e00\u79cd\u77e5\u8bc6\u8f85\u52a9\u7684\u5f52\u4e00\u5316\u5339\u914d\u6ee4\u6ce2\u5668(KA-NMF)\uff0c\u8be5\u68c0\u6d4b\u5668\u7ed3\u6784\u4e0e\u5224\u51b3\u95e8\u9650\u90fd\u662f\u5148\u9a8c\u5206\u5e03\u53c2\u6570\u7684\u51fd\u6570\uff0c\u8be5\u6587\u5206\u6790\u4e86KA-NMF\u68c0\u6d4b\u6027\u80fd\u5bf9\u5148\u9a8c\u5206\u5e03\u53c2\u6570\u7684\u654f\u611f\u6027\u3002\u8fdb\u4e00\u6b65\u91c7\u7528\u65e0\u4fe1\u606f\u5148\u9a8c\u6a21\u578b\u63cf\u8ff0\u5148\u9a8c\u5206\u5e03\u53c2\u6570\uff0c\u53ef\u4ee5\u83b7\u5f97\u5206\u5c42Bayes\u5f52\u4e00\u5316\u5339\u914d\u6ee4\u6ce2\u5668(HB-NMF)\u3002\u8ba1\u7b97\u673a\u4eff\u771f\u4e0e\u5b9e\u6d4b\u6d77\u6742\u6ce2\u6570\u636e\u5206\u6790\u7ed3\u679c\u8868\u660e\uff0cHB-NMF\u7684\u6027\u80fd\u4e0e\u5206\u5e03\u53c2\u6570\u65e0\u5173\uff0c\u7a33\u5065\u6027\u4f18\u4e8eKA-NMF\uff0c\u800c\u68c0\u6d4b\u6027\u80fd\u4f18\u4e8eNMF\u3002":[0]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2016-06-24T00:00:00"}