{"id":"https://openalex.org/W1995262086","doi":"https://doi.org/10.1109/lgrs.2015.2413299","title":"QMCTLS: Quasi Monte Carlo Texture Likelihood Sampling for Despeckling of Complex Polarimetric SAR Images","display_name":"QMCTLS: Quasi Monte Carlo Texture Likelihood Sampling for Despeckling of Complex Polarimetric SAR Images","publication_year":2015,"publication_date":"2015-04-03","ids":{"openalex":"https://openalex.org/W1995262086","doi":"https://doi.org/10.1109/lgrs.2015.2413299","mag":"1995262086"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2015.2413299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2015.2413299","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/A5100373576","display_name":"Fan Li","orcid":"https://orcid.org/0000-0002-7566-1634"},"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":true,"raw_author_name":"Fan Li","raw_affiliation_strings":["Department of Systems Design Engineering, University of Wateroo, Waterloo, ON, Canada","[Dept. of Syst. Design Eng., Univ. of Wateroo, Waterloo, ON, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Systems Design Engineering, University of Wateroo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"[Dept. of Syst. Design Eng., Univ. of Wateroo, Waterloo, ON, Canada]","institution_ids":["https://openalex.org/I151746483"]}]},{"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":["Department of Systems Design Engineering, University of Wateroo, Waterloo, ON, Canada","[Dept. of Syst. Design Eng., Univ. of Wateroo, Waterloo, ON, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Systems Design Engineering, University of Wateroo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"[Dept. of Syst. Design Eng., Univ. of Wateroo, Waterloo, ON, Canada]","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","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":["Department of Systems Design Engineering, University of Wateroo, Waterloo, ON, Canada","[Dept. of Syst. Design Eng., Univ. of Wateroo, Waterloo, ON, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Systems Design Engineering, University of Wateroo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"[Dept. of Syst. Design Eng., Univ. of Wateroo, Waterloo, ON, Canada]","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","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":["Department of Systems Design Engineering, University of Wateroo, Waterloo, ON, Canada","[Dept. of Syst. Design Eng., Univ. of Wateroo, Waterloo, ON, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Systems Design Engineering, University of Wateroo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"[Dept. of Syst. Design Eng., Univ. of Wateroo, Waterloo, ON, Canada]","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100373576"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":6.4152,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.97361975,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"12","issue":"7","first_page":"1566","last_page":"1570"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9975000023841858,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9975000023841858,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973000288009644,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9595999717712402,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6408777832984924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6202287673950195},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6031694412231445},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.5454944968223572},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5429986715316772},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5172039270401001},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.46641242504119873},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45707449316978455},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.45664095878601074},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4535343647003174},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4374796450138092},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4211142361164093},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4088699221611023},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32014426589012146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26445314288139343},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16879698634147644},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16504183411598206},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.07251891493797302}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6408777832984924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6202287673950195},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6031694412231445},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.5454944968223572},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5429986715316772},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5172039270401001},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.46641242504119873},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45707449316978455},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.45664095878601074},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4535343647003174},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4374796450138092},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4211142361164093},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4088699221611023},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32014426589012146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26445314288139343},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16879698634147644},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16504183411598206},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.07251891493797302},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lgrs.2015.2413299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2015.2413299","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.709.2578","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.709.2578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vip.uwaterloo.ca/files/publications/GRSL_QMCTLS_2015.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6499999761581421,"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/F4320334436","display_name":"Canadian Space Agency","ror":"https://ror.org/03a1gte98"},{"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":16,"referenced_works":["https://openalex.org/W1421632428","https://openalex.org/W1581825006","https://openalex.org/W2038096646","https://openalex.org/W2041282815","https://openalex.org/W2061809320","https://openalex.org/W2069745764","https://openalex.org/W2112598800","https://openalex.org/W2115492038","https://openalex.org/W2117009774","https://openalex.org/W2121348175","https://openalex.org/W2130762895","https://openalex.org/W2142587760","https://openalex.org/W2164911019","https://openalex.org/W2962943467","https://openalex.org/W4237764598","https://openalex.org/W4247128285"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2026860918","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2469797871"],"abstract_inverted_index":{"Despeckling":[0],"of":[1,14,51,83,87,114],"complex":[2,25,52],"polarimetric":[3,30,53],"synthetic":[4],"aperture":[5],"radar":[6],"(SAR)":[7],"images":[8,16,55,98],"is":[9,56,69],"more":[10],"difficult":[11],"than":[12],"denoising":[13],"general":[15],"due":[17],"to":[18],"the":[19,24,66,81,84,101],"low":[20],"signal-to-noise":[21],"ratio":[22],"and":[23,41,118],"signals.":[26],"A":[27],"novel":[28],"stochastic":[29],"SAR":[31,54,97],"despeckling":[32,50],"technique":[33],"based":[34],"on":[35,93],"quasi":[36],"Monte":[37],"Carlo":[38],"sampling":[39,106],"(QMCS)":[40],"region-based":[42],"probabilistic":[43],"similarity":[44],"likelihood":[45,105],"has":[46],"been":[47],"developed.":[48],"The":[49,77],"formulated":[57],"as":[58],"a":[59,74],"Bayesian":[60],"least":[61],"squares":[62],"optimization":[63],"problem,":[64],"where":[65],"posterior":[67],"distribution":[68],"estimated":[70],"by":[71],"QMCS":[72,78],"in":[73,112],"nonparametric":[75],"manner.":[76],"approach":[79],"allows":[80],"incorporation":[82],"statistical":[85],"description":[86],"local":[88],"texture":[89,104],"pattern":[90],"similarity.":[91],"Experiments":[92],"two":[94],"benchmark":[95],"quad-pol":[96],"demonstrate":[99],"that":[100],"proposed":[102],"QMC":[103],"(QMCTLS)":[107],"filter":[108],"outperforms":[109],"referenced":[110],"methods":[111],"terms":[113],"both":[115],"noise":[116],"removal":[117],"detail":[119],"preservation.":[120]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}