{"id":"https://openalex.org/W2920899243","doi":"https://doi.org/10.1109/lgrs.2019.2899773","title":"A Bayesian Joint Decorrelation and Despeckling of SAR Imagery","display_name":"A Bayesian Joint Decorrelation and Despeckling of SAR Imagery","publication_year":2019,"publication_date":"2019-03-06","ids":{"openalex":"https://openalex.org/W2920899243","doi":"https://doi.org/10.1109/lgrs.2019.2899773","mag":"2920899243"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2899773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2899773","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/A5014628952","display_name":"Caifeng Wang","orcid":"https://orcid.org/0000-0003-1923-3077"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caifeng Wang","raw_affiliation_strings":["School of Mathematics and Physics, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1923-3077","affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034166335","display_name":"Linlin Xu","orcid":"https://orcid.org/0000-0002-3488-5199"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Linlin Xu","raw_affiliation_strings":["Systems Design Engineering Department, University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-3488-5199","affiliations":[{"raw_affiliation_string":"Systems Design Engineering Department, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066149942","display_name":"David A. Clausi","orcid":"https://orcid.org/0000-0002-6383-0875"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"David A. Clausi","raw_affiliation_strings":["Systems Design Engineering Department, University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-6383-0875","affiliations":[{"raw_affiliation_string":"Systems Design Engineering Department, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102920751","display_name":"Alexander Wong","orcid":"https://orcid.org/0000-0001-5729-5899"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alexander Wong","raw_affiliation_strings":["Waterloo Artificial Intelligence Institute, University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Waterloo Artificial Intelligence Institute, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.794,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76037975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"16","issue":"9","first_page":"1393","last_page":"1397"},"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":0.9965000152587891,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/decorrelation","display_name":"Decorrelation","score":0.9224870204925537},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6931493282318115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6588550806045532},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5952255725860596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5692856907844543},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5635457038879395},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44881197810173035},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40175727009773254},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3673197031021118},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2364712953567505}],"concepts":[{"id":"https://openalex.org/C177860922","wikidata":"https://www.wikidata.org/wiki/Q788608","display_name":"Decorrelation","level":2,"score":0.9224870204925537},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6931493282318115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6588550806045532},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5952255725860596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5692856907844543},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5635457038879395},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44881197810173035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40175727009773254},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3673197031021118},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2364712953567505},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2019.2899773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2899773","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":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320994","display_name":"Canada Research Chairs","ror":"https://ror.org/0517h6h17"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1602107991","https://openalex.org/W1967457307","https://openalex.org/W2004376198","https://openalex.org/W2020880265","https://openalex.org/W2049909233","https://openalex.org/W2056370875","https://openalex.org/W2061809320","https://openalex.org/W2064084631","https://openalex.org/W2073354982","https://openalex.org/W2074319623","https://openalex.org/W2096433476","https://openalex.org/W2104763670","https://openalex.org/W2108608669","https://openalex.org/W2117294245","https://openalex.org/W2130094715","https://openalex.org/W2133665775","https://openalex.org/W2136396015","https://openalex.org/W2144851790","https://openalex.org/W2161736181","https://openalex.org/W2161943271","https://openalex.org/W2164611927","https://openalex.org/W2558732717"],"related_works":["https://openalex.org/W1604939135","https://openalex.org/W2127058578","https://openalex.org/W2098040275","https://openalex.org/W2735368845","https://openalex.org/W2089764958","https://openalex.org/W3109905219","https://openalex.org/W2073586885","https://openalex.org/W2546477360","https://openalex.org/W2359691516","https://openalex.org/W4252699458"],"abstract_inverted_index":{"Despeckling":[0],"of":[1,49],"synthetic":[2],"aperture":[3],"radar":[4],"(SAR)":[5],"is":[6,54,67,83],"a":[7,26,30,38],"known":[8],"research":[9],"challenge.":[10],"A":[11,64],"novel":[12],"solution":[13],"to":[14,69,85],"this":[15],"problem":[16],"has":[17],"been":[18],"developed":[19],"and":[20,34,53,93,97],"evaluated":[21],"via":[22,57],"an":[23],"iterative":[24],"maximum":[25],"posterior":[27],"estimation":[28,59],"incorporating":[29],"Bayesian":[31,58],"joint":[32],"decorrelation":[33],"despeckling":[35,88],"based":[36],"on":[37],"correlation":[39,47],"model.":[40],"This":[41],"model":[42],"realistically":[43],"explores":[44],"the":[45,61,72,86,98,102,106],"physical":[46],"process":[48],"SAR":[50,77,95],"speckle":[51,111],"noise":[52],"determined":[55],"automatically":[56],"in":[60,104],"log-Fourier":[62],"domain.":[63],"patchwise":[65],"computation":[66],"used":[68],"account":[70],"for":[71],"spatial":[73],"nonstationarity":[74],"associated":[75],"with":[76],"image":[78],"data.":[79],"The":[80],"proposed":[81],"approach":[82],"compared":[84],"existing":[87],"techniques":[89],"using":[90],"both":[91],"simulated":[92],"real":[94],"data,":[96],"experimental":[99],"results":[100],"demonstrate":[101],"improvement":[103],"preserving":[105],"structural":[107],"details":[108],"while":[109],"suppressing":[110],"noise.":[112]},"counts_by_year":[{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}