{"id":"https://openalex.org/W2547936129","doi":"https://doi.org/10.1109/igarss.2016.7730235","title":"Statistical analysis of sea clutter acquired by quad-pol coherent X-band radar","display_name":"Statistical analysis of sea clutter acquired by quad-pol coherent X-band radar","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2547936129","doi":"https://doi.org/10.1109/igarss.2016.7730235","mag":"2547936129"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7730235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7730235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5101723124","display_name":"Yunhua Wang","orcid":"https://orcid.org/0000-0002-4770-3753"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunhua Wang","raw_affiliation_strings":["College of Information Science & Engineering, Ocean University of China, Qingdao City"],"affiliations":[{"raw_affiliation_string":"College of Information Science & Engineering, Ocean University of China, Qingdao City","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100426184","display_name":"Qun Li","orcid":"https://orcid.org/0000-0003-2231-6615"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Li","raw_affiliation_strings":["College of Information Science & Engineering, Ocean University of China, Qingdao City"],"affiliations":[{"raw_affiliation_string":"College of Information Science & Engineering, Ocean University of China, Qingdao City","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100623323","display_name":"Yanmin Zhang","orcid":"https://orcid.org/0000-0002-7337-9467"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanmin Zhang","raw_affiliation_strings":["College of Information Science & Engineering, Ocean University of China, Qingdao City"],"affiliations":[{"raw_affiliation_string":"College of Information Science & Engineering, Ocean University of China, Qingdao City","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101723124"],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06410974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"911","issue":null,"first_page":"4734","last_page":"4737"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9991000294685364,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9926000237464905,"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":0.8482128977775574},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6721106171607971},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5545620918273926},{"id":"https://openalex.org/keywords/radar-horizon","display_name":"Radar horizon","score":0.5404797792434692},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5141856670379639},{"id":"https://openalex.org/keywords/k-distribution","display_name":"K-distribution","score":0.500443696975708},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.49499577283859253},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4788929522037506},{"id":"https://openalex.org/keywords/wishart-distribution","display_name":"Wishart distribution","score":0.46524107456207275},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.46159693598747253},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.43241819739341736},{"id":"https://openalex.org/keywords/continuous-wave-radar","display_name":"Continuous-wave radar","score":0.42348039150238037},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.37748757004737854},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.35051149129867554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3414002060890198},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3037709593772888},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2834756374359131},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24153780937194824},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20972612500190735},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.20159581303596497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16958710551261902},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15514647960662842},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.10432198643684387}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8482128977775574},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6721106171607971},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5545620918273926},{"id":"https://openalex.org/C131493965","wikidata":"https://www.wikidata.org/wiki/Q7279983","display_name":"Radar horizon","level":5,"score":0.5404797792434692},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5141856670379639},{"id":"https://openalex.org/C128963836","wikidata":"https://www.wikidata.org/wiki/Q6322815","display_name":"K-distribution","level":3,"score":0.500443696975708},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.49499577283859253},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4788929522037506},{"id":"https://openalex.org/C33962027","wikidata":"https://www.wikidata.org/wiki/Q1930697","display_name":"Wishart distribution","level":3,"score":0.46524107456207275},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.46159693598747253},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.43241819739341736},{"id":"https://openalex.org/C59584813","wikidata":"https://www.wikidata.org/wiki/Q1029234","display_name":"Continuous-wave radar","level":4,"score":0.42348039150238037},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.37748757004737854},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.35051149129867554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3414002060890198},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3037709593772888},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2834756374359131},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24153780937194824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20972612500190735},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.20159581303596497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16958710551261902},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15514647960662842},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.10432198643684387},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7730235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7730235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1990044189","https://openalex.org/W2101690226","https://openalex.org/W2113214059","https://openalex.org/W2142072604","https://openalex.org/W2229905950","https://openalex.org/W2591340843","https://openalex.org/W2798368384","https://openalex.org/W6676834058"],"related_works":["https://openalex.org/W2056151586","https://openalex.org/W2380614822","https://openalex.org/W2165212633","https://openalex.org/W2889150207","https://openalex.org/W1996481683","https://openalex.org/W2382114691","https://openalex.org/W2384467088","https://openalex.org/W1679012645","https://openalex.org/W2164481644","https://openalex.org/W2110106778"],"abstract_inverted_index":{"Based":[0],"on":[1],"the":[2,23,30,35,37,40,44,47,55,70,75,80,87,96,102,108,119,123,130,137,154,158],"complex":[3],"Wishart":[4],"distribution,":[5],"statistical":[6,155],"analysis":[7],"of":[8,29,43,98,105,139,157],"sea":[9,140,159],"clutter":[10,160],"acquired":[11,161],"by":[12,79,95,136,162],"quad-pol":[13,163],"coherent":[14,164],"X-band":[15],"marine":[16,165],"radar":[17,99,166],"is":[18],"presented.":[19],"In":[20,63],"this":[21,147],"work,":[22],"probability":[24],"density":[25],"distribution":[26],"functions":[27],"(PDFs)":[28],"intensity":[31,89],"as":[32,34],"well":[33],"phase,":[36],"real":[38],"and":[39,54],"imaginary":[41],"parts":[42],"elements":[45],"in":[46,60,115,146],"polarimetric":[48],"covariance":[49],"matrix":[50],"have":[51],"been":[52],"derived,":[53],"theoretical":[56,68,143],"models":[57,113],"are":[58,72,92,114,149],"expressed":[59],"closed":[61],"forms.":[62],"order":[64],"to":[65],"validate":[66],"our":[67,112],"results,":[69],"PDFs":[71,131],"compared":[73],"with":[74,118],"experimental":[76,120],"data":[77],"collected":[78],"McMaster":[81],"IPIX":[82],"Radar.":[83],"If":[84],"we":[85,126],"remove":[86],"low":[88,168],"echoes":[90],"which":[91],"mainly":[93],"dominated":[94],"noise":[97],"system":[100],"at":[101,167],"shadow":[103],"regions":[104],"large-scale":[106],"waves,":[107],"comparisons":[109],"demonstrate":[110],"that":[111,129],"good":[116],"agreement":[117],"data.":[121],"On":[122],"other":[124],"hand,":[125],"also":[127],"find":[128],"will":[132],"be":[133],"slightly":[134],"affected":[135],"inhomogeneity":[138],"clutter.":[141],"The":[142],"results":[144],"obtained":[145],"work":[148],"promising":[150],"for":[151],"better":[152],"understanding":[153],"properties":[156],"grazing":[169],"angles.":[170]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}