{"id":"https://openalex.org/W2965472864","doi":"https://doi.org/10.1109/isie.2019.8781457","title":"Speckle Noise Removal Technique in SAR Images using SRAD and Weighted Least Squares Filter","display_name":"Speckle Noise Removal Technique in SAR Images using SRAD and Weighted Least Squares Filter","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2965472864","doi":"https://doi.org/10.1109/isie.2019.8781457","mag":"2965472864"},"language":"en","primary_location":{"id":"doi:10.1109/isie.2019.8781457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie.2019.8781457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5044975389","display_name":"Hyun-Ho Choi","orcid":"https://orcid.org/0000-0003-4995-9039"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunho Choi","raw_affiliation_strings":["Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034955319","display_name":"Seungwon Yu","orcid":"https://orcid.org/0000-0002-0366-5820"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungwon Yu","raw_affiliation_strings":["Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018642097","display_name":"Jechang Jeong","orcid":"https://orcid.org/0000-0002-3759-3116"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jechang Jeong","raw_affiliation_strings":["Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1441","last_page":"1446"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":1.0,"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":1.0,"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":0.9986000061035156,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.8215986490249634},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6186944842338562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6119118332862854},{"id":"https://openalex.org/keywords/multiplicative-noise","display_name":"Multiplicative noise","score":0.5540598034858704},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.5498408079147339},{"id":"https://openalex.org/keywords/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.5483487248420715},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5267536044120789},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5135007500648499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.507375180721283},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.49256688356399536},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.49163252115249634},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3459193706512451},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2385309636592865},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21786442399024963},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.054873138666152954}],"concepts":[{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.8215986490249634},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6186944842338562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6119118332862854},{"id":"https://openalex.org/C18015164","wikidata":"https://www.wikidata.org/wiki/Q6935000","display_name":"Multiplicative noise","level":5,"score":0.5540598034858704},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.5498408079147339},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.5483487248420715},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5267536044120789},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5135007500648499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.507375180721283},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.49256688356399536},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.49163252115249634},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3459193706512451},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2385309636592865},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21786442399024963},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.054873138666152954},{"id":"https://openalex.org/C131021393","wikidata":"https://www.wikidata.org/wiki/Q7512759","display_name":"Signal transfer function","level":4,"score":0.0},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.0},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isie.2019.8781457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie.2019.8781457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1108941968","https://openalex.org/W1864576010","https://openalex.org/W1968112329","https://openalex.org/W1978407375","https://openalex.org/W2049909233","https://openalex.org/W2052491606","https://openalex.org/W2099244020","https://openalex.org/W2104316689","https://openalex.org/W2117294245","https://openalex.org/W2125188192","https://openalex.org/W2129038850","https://openalex.org/W2130094715","https://openalex.org/W2130762895","https://openalex.org/W2133954466","https://openalex.org/W2141957843","https://openalex.org/W2150134853","https://openalex.org/W2331269312","https://openalex.org/W2476975422","https://openalex.org/W2792469128","https://openalex.org/W2803364840","https://openalex.org/W2907825945"],"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/W2162457349","https://openalex.org/W1976248695","https://openalex.org/W1969304600"],"abstract_inverted_index":{"In":[0,49],"the":[1,14,20,32,98,115,122,139,143,153],"process":[2],"of":[3,46],"obtaining":[4],"synthetic":[5],"aperture":[6],"radar":[7],"(SAR)":[8],"images,":[9],"speckle":[10,59,72,145],"noise":[11,18,35,73,95,105,113,146],"exhibited":[12],"in":[13,19,97,114],"SAR":[15,21,47],"images.":[16,48],"Speckle":[17,34],"images":[22],"degrades":[23],"an":[24,108,132],"image":[25,119,130],"quality":[26],"and":[27,64,74,148],"become":[28],"difficult":[29],"to":[30,91],"interpret":[31],"image.":[33,102],"reduction":[36,147],"technique":[37],"is":[38,81],"a":[39,54,84,93,128],"crucial":[40],"step":[41],"for":[42,70],"using":[43],"various":[44],"application":[45],"this":[50],"paper,":[51],"we":[52],"proposed":[53,140],"novel":[55],"algorithm":[56],"based":[57],"on":[58],"reducing":[60],"anisotropic":[61],"diffusion":[62],"(SRAD)":[63],"weighted":[65],"least":[66],"squares":[67],"(WLS)":[68],"filter":[69,80,100],"removing":[71],"preserving":[75],"edge":[76,149],"information.":[77],"The":[78,103,111],"SRAD":[79,99,116],"applied":[82],"as":[83,107],"preprocessing":[85],"filter.":[86,124],"A":[87],"logarithmic":[88],"transformation":[89],"employed":[90],"convert":[92],"multiplicative":[94,104],"remaining":[96],"result":[101,118],"changed":[106],"additive":[109,112],"noise.":[110],"filtering":[117,155],"removed":[120],"by":[121],"WLS":[123],"We":[125],"can":[126],"obtain":[127],"despeckled":[129],"employing":[131],"exponential":[133],"transform.":[134],"Experimental":[135],"results":[136],"demonstrate":[137],"that":[138],"method":[141],"exhibits":[142],"best":[144],"preservation":[150],"performance":[151],"than":[152],"conventional":[154],"techniques.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}