{"id":"https://openalex.org/W2145594685","doi":"https://doi.org/10.1109/lgrs.2013.2283258","title":"SAR Image Filtering Based on the Cauchy\u2013Rayleigh Mixture Model","display_name":"SAR Image Filtering Based on the Cauchy\u2013Rayleigh Mixture Model","publication_year":2013,"publication_date":"2013-10-07","ids":{"openalex":"https://openalex.org/W2145594685","doi":"https://doi.org/10.1109/lgrs.2013.2283258","mag":"2145594685"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2013.2283258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2013.2283258","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/A5061964423","display_name":"Qiangqiang Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiangqiang Peng","raw_affiliation_strings":["Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing, China","Sci. & Technol. on Aircraft Control Lab., Beihang Univ., Beijing, , China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Sci. & Technol. on Aircraft Control Lab., Beihang Univ., Beijing, , China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066829563","display_name":"Long Zhao","orcid":"https://orcid.org/0000-0002-2449-7803"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Zhao","raw_affiliation_strings":["Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing, China","Sci. & Technol. on Aircraft Control Lab., Beihang Univ., Beijing, , China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Sci. & Technol. on Aircraft Control Lab., Beihang Univ., Beijing, , China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061964423"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":1.6329,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86709898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"11","issue":"5","first_page":"960","last_page":"964"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/cauchy-distribution","display_name":"Cauchy distribution","score":0.7452518939971924},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7360197901725769},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.6786535978317261},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.6593929529190063},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5366999506950378},{"id":"https://openalex.org/keywords/rayleigh-scattering","display_name":"Rayleigh scattering","score":0.5200949907302856},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5077217817306519},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.47421979904174805},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.47323450446128845},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4676002860069275},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.44562941789627075},{"id":"https://openalex.org/keywords/rayleigh-distribution","display_name":"Rayleigh distribution","score":0.44179224967956543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4410552978515625},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.42702823877334595},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4268978238105774},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38523396849632263},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3811943829059601},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.22312039136886597},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.1727733612060547},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1401481032371521},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11369800567626953},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10906249284744263},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06652379035949707}],"concepts":[{"id":"https://openalex.org/C49344536","wikidata":"https://www.wikidata.org/wiki/Q726441","display_name":"Cauchy distribution","level":2,"score":0.7452518939971924},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7360197901725769},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.6786535978317261},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.6593929529190063},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5366999506950378},{"id":"https://openalex.org/C46244369","wikidata":"https://www.wikidata.org/wiki/Q193709","display_name":"Rayleigh scattering","level":2,"score":0.5200949907302856},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5077217817306519},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.47421979904174805},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.47323450446128845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4676002860069275},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.44562941789627075},{"id":"https://openalex.org/C40940223","wikidata":"https://www.wikidata.org/wiki/Q637150","display_name":"Rayleigh distribution","level":3,"score":0.44179224967956543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4410552978515625},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.42702823877334595},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4268978238105774},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38523396849632263},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3811943829059601},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.22312039136886597},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.1727733612060547},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1401481032371521},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11369800567626953},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10906249284744263},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06652379035949707}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2013.2283258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2013.2283258","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/11","score":0.5600000023841858,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2736623967","display_name":null,"funder_award_id":"41274038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2804584149","display_name":null,"funder_award_id":"61039003","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":34,"referenced_works":["https://openalex.org/W1917198097","https://openalex.org/W1977309372","https://openalex.org/W1985762266","https://openalex.org/W1990881969","https://openalex.org/W1992727591","https://openalex.org/W2018414925","https://openalex.org/W2020880265","https://openalex.org/W2021026488","https://openalex.org/W2026849320","https://openalex.org/W2036524212","https://openalex.org/W2047417243","https://openalex.org/W2049633694","https://openalex.org/W2049909233","https://openalex.org/W2052491606","https://openalex.org/W2072063515","https://openalex.org/W2096011446","https://openalex.org/W2116992238","https://openalex.org/W2117294245","https://openalex.org/W2117853853","https://openalex.org/W2128033169","https://openalex.org/W2129038850","https://openalex.org/W2129553449","https://openalex.org/W2132680427","https://openalex.org/W2133290590","https://openalex.org/W2134392507","https://openalex.org/W2144851790","https://openalex.org/W2151221869","https://openalex.org/W2158347164","https://openalex.org/W2166013116","https://openalex.org/W2170415634","https://openalex.org/W2321585011","https://openalex.org/W2962943467","https://openalex.org/W2963715065","https://openalex.org/W4243529460"],"related_works":["https://openalex.org/W2114899076","https://openalex.org/W1783992599","https://openalex.org/W2124697778","https://openalex.org/W2135468550","https://openalex.org/W2133422797","https://openalex.org/W2045588782","https://openalex.org/W2181917637","https://openalex.org/W4284711868","https://openalex.org/W2012617855","https://openalex.org/W1503775322"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"a":[3,6],"novel":[4],"maximum":[5],"posteriori":[7],"(MAP)":[8],"filter":[9,62,87],"for":[10,90],"synthetic":[11],"aperture":[12],"radar":[13],"(SAR)":[14],"images":[15],"is":[16,31],"developed.":[17],"We":[18],"characterize":[19],"the":[20,26,35,42,49,54,60,84,94],"return":[21],"signal":[22],"of":[23,41],"SAR":[24,78],"using":[25,53],"Cauchy-Rayleigh":[27,43],"mixture":[28,44],"model,":[29],"which":[30],"an":[32],"approximation":[33],"to":[34],"heavy-tailed":[36],"Rayleigh":[37],"distribution.":[38],"The":[39],"parameters":[40],"model":[45],"are":[46],"estimated":[47],"from":[48],"noisy":[50],"observation":[51],"by":[52,69],"expectation-maximization":[55],"algorithm.":[56],"Finally,":[57],"we":[58],"compare":[59],"proposed":[61],"with":[63],"several":[64],"classical":[65],"spatial":[66],"filtering":[67],"techniques":[68],"applying":[70],"them":[71],"on":[72],"simulated":[73],"data":[74],"and":[75,100],"various":[76],"real":[77],"images.":[79],"Experimental":[80],"results":[81],"show":[82],"that":[83],"Cauchy-Rayleigh-mixture-based":[85],"MAP":[86],"performs":[88],"better":[89],"speckle":[91],"removal":[92],"than":[93],"other":[95],"methods,":[96],"including":[97],"Lee,":[98],"Kuan,":[99],"\u0393-MAP.":[101]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}