{"id":"https://openalex.org/W2057571734","doi":"https://doi.org/10.1109/tip.2015.2396292","title":"A Variational Model for PolSAR Data Speckle Reduction Based on the Wishart Distribution","display_name":"A Variational Model for PolSAR Data Speckle Reduction Based on the Wishart Distribution","publication_year":2015,"publication_date":"2015-01-23","ids":{"openalex":"https://openalex.org/W2057571734","doi":"https://doi.org/10.1109/tip.2015.2396292","mag":"2057571734","pmid":"https://pubmed.ncbi.nlm.nih.gov/25622321"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2015.2396292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2396292","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5049695170","display_name":"Xiangli Nie","orcid":"https://orcid.org/0000-0001-5208-4670"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210120485","display_name":"Academy of Mathematics and Systems Science","ror":"https://ror.org/02jkmyk67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210120485"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangli Nie","raw_affiliation_strings":["Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Institute of Applied Mathematics, Beijing, China","Academy of Mathematics and Systems Science, Chinese Academy of Sciences Institute of Applied Mathematics Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Institute of Applied Mathematics, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210120485"]},{"raw_affiliation_string":"Academy of Mathematics and Systems Science, Chinese Academy of Sciences Institute of Applied Mathematics Beijing China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026688050","display_name":"Hong Qiao","orcid":"https://orcid.org/0000-0001-6384-3687"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Qiao","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Automation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100335246","display_name":"Bo Zhang","orcid":"https://orcid.org/0000-0002-1210-8735"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210120485","display_name":"Academy of Mathematics and Systems Science","ror":"https://ror.org/02jkmyk67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210120485"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Zhang","raw_affiliation_strings":["Laboratory of Scientific and Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China","Institute of Applied MathematicsLaboratory of Scientific and Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Scientific and Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210120485"]},{"raw_affiliation_string":"Institute of Applied MathematicsLaboratory of Scientific and Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":138.0822,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.99848778,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"24","issue":"4","first_page":"1209","last_page":"1222"},"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":0.9995999932289124,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9939000010490417,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9797000288963318,"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/wishart-distribution","display_name":"Wishart distribution","score":0.8682017922401428},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.7201876640319824},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6196045875549316},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.5851925611495972},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5531149506568909},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5496476888656616},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48301705718040466},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.48019421100616455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41824644804000854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40525543689727783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.320051908493042}],"concepts":[{"id":"https://openalex.org/C33962027","wikidata":"https://www.wikidata.org/wiki/Q1930697","display_name":"Wishart distribution","level":3,"score":0.8682017922401428},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.7201876640319824},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6196045875549316},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.5851925611495972},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5531149506568909},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5496476888656616},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48301705718040466},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.48019421100616455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41824644804000854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40525543689727783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.320051908493042},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.0},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2015.2396292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2396292","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:25622321","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25622321","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G465819471","display_name":null,"funder_award_id":"61379093","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8091708645","display_name":null,"funder_award_id":"11131006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320311026","display_name":"Shandong University","ror":"https://ror.org/0207yh398"},{"id":"https://openalex.org/F4320318240","display_name":"European Space Agency","ror":"https://ror.org/03wd9za21"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W112727521","https://openalex.org/W1421632428","https://openalex.org/W1969504503","https://openalex.org/W1974945942","https://openalex.org/W1978407375","https://openalex.org/W1985194020","https://openalex.org/W1987601403","https://openalex.org/W1998339281","https://openalex.org/W2014823423","https://openalex.org/W2021234877","https://openalex.org/W2024368107","https://openalex.org/W2035128422","https://openalex.org/W2037095848","https://openalex.org/W2044315089","https://openalex.org/W2051221053","https://openalex.org/W2051986600","https://openalex.org/W2055926158","https://openalex.org/W2076605490","https://openalex.org/W2077282160","https://openalex.org/W2092663520","https://openalex.org/W2100556411","https://openalex.org/W2101690226","https://openalex.org/W2102116870","https://openalex.org/W2102483812","https://openalex.org/W2103559027","https://openalex.org/W2107290856","https://openalex.org/W2111899019","https://openalex.org/W2115492038","https://openalex.org/W2117009774","https://openalex.org/W2122752532","https://openalex.org/W2123632784","https://openalex.org/W2130762895","https://openalex.org/W2132236849","https://openalex.org/W2133487662","https://openalex.org/W2140365458","https://openalex.org/W2151128232","https://openalex.org/W2151221869","https://openalex.org/W2161357997","https://openalex.org/W2164278908","https://openalex.org/W2164911019","https://openalex.org/W2296319761","https://openalex.org/W2403035479","https://openalex.org/W2962826552","https://openalex.org/W2962943467","https://openalex.org/W3122764147","https://openalex.org/W3140025309","https://openalex.org/W4237764598","https://openalex.org/W4250589301","https://openalex.org/W4289784446","https://openalex.org/W4292363360","https://openalex.org/W4294651009","https://openalex.org/W4300632484","https://openalex.org/W6675664263","https://openalex.org/W6681693836","https://openalex.org/W6682227116"],"related_works":["https://openalex.org/W2146312983","https://openalex.org/W2389605595","https://openalex.org/W1586339758","https://openalex.org/W2046861201","https://openalex.org/W3131856045","https://openalex.org/W3134381438","https://openalex.org/W2057690963","https://openalex.org/W2118598748","https://openalex.org/W2011956837","https://openalex.org/W2108933226"],"abstract_inverted_index":{"In":[0],"this":[1,104],"paper,":[2],"we":[3,102],"propose":[4],"a":[5,48,81,125],"variational":[6,66,86,108,135],"model":[7,67,87,109,122],"for":[8,38,68,88,110],"polarimetric":[9,185],"synthetic":[10],"aperture":[11],"radar":[12],"(PolSAR)":[13],"data":[14,71,91,118,154],"speckle":[15,72,92],"reduction,":[16,93],"which":[17],"is":[18,76,96,105,123,130],"based":[19,137],"on":[20,138,148],"the":[21,26,43,52,56,65,79,106,111,121,134,139,157,164,172,175,184],"complex":[22],"Wishart":[23],"distribution":[24,54],"of":[25,55],"covariance":[27,57,70,114],"or":[28,115],"coherency":[29,90,116],"matrix":[30,58,117],"and":[31,50,142,151,180,183],"multichannel":[32],"total":[33],"variation":[34],"(TV)":[35],"regularization":[36,45],"defined":[37],"complex-valued":[39],"matrices.":[40],"By":[41],"assuming":[42],"TV":[44],"to":[46,132],"be":[47],"prior":[49],"taking":[51],"statistical":[53],"in":[59,163],"each":[60],"resolution":[61],"element":[62],"into":[63],"account,":[64],"PolSAR":[69,89,113,153],"suppression,":[73],"named":[74,94],"WisTV-C,":[75],"derived":[77],"from":[78],"maximum":[80],"posteriori":[82],"estimate.":[83],"A":[84],"similar":[85],"WisTV-T,":[95],"also":[97],"obtained.":[98],"As":[99],"far":[100],"as":[101,178],"know,":[103],"first":[107],"whole":[112],"despeckling.":[119],"Since":[120],"nonconvex,":[124],"convex":[126],"relaxation":[127],"iterative":[128],"algorithm":[129],"designed":[131],"solve":[133],"problem,":[136],"variable":[140],"splitting":[141],"alternating":[143],"minimization":[144],"techniques.":[145],"Experimental":[146],"results":[147],"both":[149],"simulated":[150],"real":[152],"demonstrate":[155],"that":[156],"proposed":[158],"approach":[159],"notably":[160],"removes":[161],"speckles":[162],"extended":[165],"uniform":[166],"areas":[167],"and,":[168],"meanwhile,":[169],"better":[170],"preserves":[171],"spatial":[173],"resolution,":[174],"details":[176],"such":[177],"edges":[179],"point":[181],"scatterers,":[182],"scattering":[186],"characteristics,":[187],"compared":[188],"with":[189],"other":[190],"methods.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}