{"id":"https://openalex.org/W2963321118","doi":"https://doi.org/10.1109/lgrs.2019.2926196","title":"A SAR Image Despeckling Method Using Multi-Scale Nonlocal Low-Rank Model","display_name":"A SAR Image Despeckling Method Using Multi-Scale Nonlocal Low-Rank Model","publication_year":2019,"publication_date":"2019-07-19","ids":{"openalex":"https://openalex.org/W2963321118","doi":"https://doi.org/10.1109/lgrs.2019.2926196","mag":"2963321118"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2926196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2926196","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/A5007685826","display_name":"Dongdong Guan","orcid":"https://orcid.org/0000-0001-5025-8200"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongdong Guan","raw_affiliation_strings":["College of Electronic Science, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023203007","display_name":"Deliang Xiang","orcid":"https://orcid.org/0000-0003-0152-6621"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deliang Xiang","raw_affiliation_strings":["National Innovation Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Innovation Institute of Technology, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091191629","display_name":"Xiaoan Tang","orcid":"https://orcid.org/0000-0002-4624-3687"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoan Tang","raw_affiliation_strings":["College of Electronic Science, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082887216","display_name":"Gangyao Kuang","orcid":"https://orcid.org/0000-0003-2620-889X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gangyao Kuang","raw_affiliation_strings":["College of Electronic Science, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007685826"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":1.4171,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.85398697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"17","issue":"3","first_page":"421","last_page":"425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9975000023841858,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.992900013923645,"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.8369125723838806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7079973220825195},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6769766211509705},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6187482476234436},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.5890583395957947},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.5746367573738098},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5468683838844299},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4864349365234375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4676513075828552},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.45818912982940674},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4575052261352539},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4148138761520386},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.19797664880752563},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.12855008244514465}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.8369125723838806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7079973220825195},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6769766211509705},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6187482476234436},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.5890583395957947},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.5746367573738098},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5468683838844299},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4864349365234375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4676513075828552},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.45818912982940674},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4575052261352539},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4148138761520386},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.19797664880752563},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.12855008244514465},{"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.2019.2926196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2926196","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":0.6600000262260437,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G6148933700","display_name":null,"funder_award_id":"41801236","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8091060295","display_name":null,"funder_award_id":"2017JJ2304","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1965102920","https://openalex.org/W1981489936","https://openalex.org/W2004376198","https://openalex.org/W2009548700","https://openalex.org/W2045377163","https://openalex.org/W2079299474","https://openalex.org/W2083347692","https://openalex.org/W2090563002","https://openalex.org/W2097073572","https://openalex.org/W2111899019","https://openalex.org/W2133954466","https://openalex.org/W2144851790","https://openalex.org/W2146224786","https://openalex.org/W2153663612","https://openalex.org/W2164278908","https://openalex.org/W2184334976","https://openalex.org/W2505029951","https://openalex.org/W2536599074","https://openalex.org/W2548236576","https://openalex.org/W2554150252","https://openalex.org/W2594699239","https://openalex.org/W2802091304","https://openalex.org/W3122764147","https://openalex.org/W4292363360","https://openalex.org/W6729842880"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2055824452","https://openalex.org/W2121688719","https://openalex.org/W2727313114","https://openalex.org/W2016481886","https://openalex.org/W4241911733"],"abstract_inverted_index":{"Speckle":[0],"noise":[1],"is":[2,92],"an":[3],"inherent":[4],"nature":[5],"of":[6,16,23,43,84,99,123],"synthetic":[7],"aperture":[8],"radar":[9],"(SAR)":[10],"images,":[11],"which":[12],"degrades":[13],"the":[14,17,21,61,74,85,95,113],"quality":[15],"images":[18,25,110],"and":[19,40,64,107,126,128],"makes":[20],"interpretation":[22],"SAR":[24,44,86,109],"difficult.":[26],"In":[27],"this":[28],"letter,":[29],"we":[30,47,72],"propose":[31,48],"a":[32,49,55,65],"despeckling":[33,119],"method":[34,98,115],"by":[35,53,77,94],"simultaneously":[36],"exploring":[37],"low-rank":[38,50],"prior":[39,42,76],"multi-scale":[41,75],"images.":[45],"Especially,":[46],"minimization":[51],"model":[52],"considering":[54],"data":[56],"fidelity":[57],"term":[58],"derived":[59],"from":[60,81],"Fisher-Tippett":[62],"distribution":[63],"weighted":[66],"nuclear":[67],"norm":[68],"regularization":[69],"term.":[70],"Furthermore,":[71],"explore":[73],"selecting":[78],"similar":[79],"patches":[80],"different":[82],"scales":[83],"image.":[87],"The":[88],"resulting":[89],"optimization":[90],"problem":[91],"solved":[93],"alternating":[96],"direction":[97],"multipliers":[100],"(ADMM).":[101],"Experiments":[102],"conducted":[103],"on":[104],"both":[105],"simulated":[106],"real":[108],"demonstrate":[111],"that":[112],"proposed":[114],"can":[116],"provide":[117],"promising":[118],"results":[120],"in":[121],"terms":[122],"speckle":[124],"reduction":[125],"texture":[127],"edge":[129],"details":[130],"preservation.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}