{"id":"https://openalex.org/W3207243239","doi":"https://doi.org/10.1109/igarss47720.2021.9554388","title":"Persymmetric Adaptive CFAR Detector in Compound Gaussian Sea Clutter with Inverse Gaussian Texture","display_name":"Persymmetric Adaptive CFAR Detector in Compound Gaussian Sea Clutter with Inverse Gaussian Texture","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3207243239","doi":"https://doi.org/10.1109/igarss47720.2021.9554388","mag":"3207243239"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9554388","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-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/A5115592667","display_name":"Zhihang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhihang Wang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086321095","display_name":"Zishu He","orcid":"https://orcid.org/0000-0003-4491-8414"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zishu He","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000194092","display_name":"Qin He","orcid":"https://orcid.org/0000-0001-5467-3233"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin He","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082378117","display_name":"Xiaoying Lu","orcid":"https://orcid.org/0000-0002-1118-8104"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoying Lu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115592667"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.34,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74335058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"5000","last_page":"5003"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9886999726295471,"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/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.9800000190734863,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.936630368232727},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.8706294894218445},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7877029180526733},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5904282331466675},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5743059515953064},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4879154860973358},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4805172383785248},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45420074462890625},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4468032419681549},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42954620718955994},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.42752766609191895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40469881892204285},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3708956241607666},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3313772678375244},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16277071833610535},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.1148470938205719},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08457151055335999}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.936630368232727},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.8706294894218445},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7877029180526733},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5904282331466675},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5743059515953064},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4879154860973358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4805172383785248},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45420074462890625},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4468032419681549},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42954620718955994},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.42752766609191895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40469881892204285},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3708956241607666},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3313772678375244},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16277071833610535},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.1148470938205719},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08457151055335999},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9554388","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G7833447388","display_name":null,"funder_award_id":"62031007,61771095","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":12,"referenced_works":["https://openalex.org/W1986921156","https://openalex.org/W1993351044","https://openalex.org/W2103286460","https://openalex.org/W2123776775","https://openalex.org/W2144158572","https://openalex.org/W2156166401","https://openalex.org/W2159887279","https://openalex.org/W2474313031","https://openalex.org/W2535884554","https://openalex.org/W2808424256","https://openalex.org/W2978190693","https://openalex.org/W4302769200"],"related_works":["https://openalex.org/W2388326001","https://openalex.org/W3011102797","https://openalex.org/W2351401443","https://openalex.org/W2115015615","https://openalex.org/W4320921117","https://openalex.org/W1968850503","https://openalex.org/W1649651896","https://openalex.org/W2116961228","https://openalex.org/W1952514008","https://openalex.org/W3173283069"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3,14,97],"the":[4,27,38,42,49,55,66,72,94,98,104,108,115,119],"adaptive":[5],"persymmetric":[6,61],"detection":[7,100,123],"problem":[8],"in":[9,48,122],"compound":[10,22],"Gaussian":[11,16,23],"sea":[12],"clutter":[13,43,73],"inverse":[15],"texture.":[17],"We":[18],"derive":[19],"a":[20,57],"novel":[21],"detector":[24,79,96,117,121],"based":[25],"on":[26],"two-step":[28],"generalized":[29],"likelihood":[30],"ratio":[31],"test":[32],"(GLRT).":[33],"In":[34],"detail,":[35],"we":[36,53],"assume":[37],"texture":[39,69],"component":[40,70],"and":[41,60,71,107],"covariance":[44,74],"matrix":[45],"are":[46,101],"known":[47],"first":[50],"step;":[51],"Then":[52],"employ":[54],"maximum":[56],"posterior":[58],"(MAP)":[59],"property":[62],"method":[63],"to":[64,82],"acquire":[65],"estimates":[67],"of":[68],"matrix,":[75],"respectively.":[76],"The":[77,90,111],"new":[78],"is":[80],"proved":[81],"be":[83],"constant":[84],"false":[85],"alarm":[86],"rate":[87],"(CFAR)":[88],"detector.":[89],"experiments":[91],"that":[92,114],"compare":[93],"proposed":[95,116],"non-persymmetric":[99,120],"conducted":[102],"by":[103],"simulated":[105],"data":[106],"measured":[109],"data.":[110],"results":[112],"reveal":[113],"outperforms":[118],"performance.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
