{"id":"https://openalex.org/W4312730760","doi":"https://doi.org/10.1109/lgrs.2022.3216730","title":"GLRT-Based Polarimetric Detection in Compound-Gaussian Sea Clutter With Inverse-Gaussian Texture","display_name":"GLRT-Based Polarimetric Detection in Compound-Gaussian Sea Clutter With Inverse-Gaussian Texture","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312730760","doi":"https://doi.org/10.1109/lgrs.2022.3216730"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3216730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3216730","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/A5087914879","display_name":"Jiaheng Wang","orcid":"https://orcid.org/0000-0002-5884-5933"},"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":"Jiaheng Wang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5884-5933","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085276466","display_name":"Zhihang Wang","orcid":"https://orcid.org/0000-0002-5779-8215"},"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":"Zhihang Wang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5779-8215","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 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, China"],"raw_orcid":"https://orcid.org/0000-0003-4491-8414","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059861484","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-3465-1621"},"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":"Jun Li","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":8.4654,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.9687079,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"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/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.9994999766349792,"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":0.9991999864578247,"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/clutter","display_name":"Clutter","score":0.9334228038787842},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5789108872413635},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5500470995903015},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.508501410484314},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.49410369992256165},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4664475619792938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45992714166641235},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43618905544281006},{"id":"https://openalex.org/keywords/test-statistic","display_name":"Test statistic","score":0.4139256775379181},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38622209429740906},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.373309850692749},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.2143871784210205},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18984490633010864},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.1776253879070282}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.9334228038787842},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5789108872413635},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5500470995903015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.508501410484314},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.49410369992256165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4664475619792938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45992714166641235},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43618905544281006},{"id":"https://openalex.org/C169857963","wikidata":"https://www.wikidata.org/wiki/Q1461038","display_name":"Test statistic","level":3,"score":0.4139256775379181},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38622209429740906},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.373309850692749},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.2143871784210205},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18984490633010864},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.1776253879070282},{"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/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.2022.3216730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3216730","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":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.8799999952316284}],"awards":[{"id":"https://openalex.org/G5731658278","display_name":null,"funder_award_id":"62031007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8450399159","display_name":null,"funder_award_id":"62001084","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":19,"referenced_works":["https://openalex.org/W1535997954","https://openalex.org/W1964846206","https://openalex.org/W1993351044","https://openalex.org/W2034748641","https://openalex.org/W2054521533","https://openalex.org/W2077717067","https://openalex.org/W2081936987","https://openalex.org/W2102559064","https://openalex.org/W2155797453","https://openalex.org/W2510138867","https://openalex.org/W2521409268","https://openalex.org/W2946030560","https://openalex.org/W2963555868","https://openalex.org/W3081526914","https://openalex.org/W3130732290","https://openalex.org/W4206451268","https://openalex.org/W4210663931","https://openalex.org/W4289820973","https://openalex.org/W6631949085"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2966151833","https://openalex.org/W2012141031","https://openalex.org/W2138866391","https://openalex.org/W2584466131","https://openalex.org/W2031443741","https://openalex.org/W2294267340","https://openalex.org/W2109830992","https://openalex.org/W2154254690"],"abstract_inverted_index":{"This":[0],"letter":[1],"presents":[2],"the":[3,6,15,20,36,42,48,52,57,63,67,71,74,79,82,86,91,94,98,103,108,114,117,120,138,141,149,157,169],"derivation":[4],"of":[5,51,73,81,90,93,140,166],"generalized":[7],"likelihood":[8],"ratio":[9],"test":[10,49,99],"(GLRT)-based":[11],"polarimetric":[12,110],"detector":[13,54],"in":[14,62],"non-Gaussian":[16,21],"clutter.":[17,39],"We":[18],"model":[19],"sea":[22,38,134],"clutter":[23,131,135],"as":[24,78],"compound-Gaussian":[25],"distribution":[26],"with":[27,70,129],"inverse-Gaussian":[28],"texture":[29,58,72,92],"(IG-CG),":[30],"which":[31,112],"has":[32],"better":[33,153],"goodness-of-fit":[34],"for":[35],"high-resolution":[37],"Based":[40],"on":[41],"two-step":[43],"GLRT":[44],"criterion,":[45],"we":[46,84,126],"develop":[47],"statistic":[50,100],"proposed":[53,142,150],"by":[55],"assuming":[56],"component":[59],"is":[60,123],"known":[61],"first":[64],"step.":[65],"In":[66],"second":[68],"step,":[69],"secondary":[75],"data":[76,96],"estimated":[77],"power":[80],"clutter,":[83],"insert":[85],"maximuma":[87],"posterioriestimate":[88],"(MAPE)":[89],"primary":[95],"into":[97],"to":[101,136,163,168],"achieve":[102],"fully":[104],"adaptive":[105],"detection.":[106],"Furthermore,":[107],"model-based":[109],"detector,":[111],"exploits":[113],"independence":[115],"between":[116],"co-polarized":[118],"and":[119,132,156],"cross-polarized":[121],"component,":[122],"derived.":[124],"Finally,":[125],"conduct":[127],"experiments":[128],"simulated":[130],"real":[133],"evaluate":[137],"performance":[139,155],"detector.":[143],"The":[144],"simulation":[145],"results":[146],"verify":[147],"that":[148],"detectors":[151],"have":[152],"detection":[154],"MAPE":[158],"under":[159],"different":[160,164],"hypotheses":[161],"leads":[162],"levels":[165],"robustness":[167],"mismatched":[170],"signal.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}