{"id":"https://openalex.org/W2951367428","doi":"https://doi.org/10.3390/rs11121473","title":"Fast GPU-Based Enhanced Wiener Filter for Despeckling SAR Data","display_name":"Fast GPU-Based Enhanced Wiener Filter for Despeckling SAR Data","publication_year":2019,"publication_date":"2019-06-21","ids":{"openalex":"https://openalex.org/W2951367428","doi":"https://doi.org/10.3390/rs11121473","mag":"2951367428"},"language":"en","primary_location":{"id":"doi:10.3390/rs11121473","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11121473","pdf_url":"https://www.mdpi.com/2072-4292/11/12/1473/pdf?version=1561105142","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/11/12/1473/pdf?version=1561105142","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091335361","display_name":"Bilel Kanoun","orcid":"https://orcid.org/0000-0003-2636-0664"},"institutions":[{"id":"https://openalex.org/I183638586","display_name":"Parthenope University of Naples","ror":"https://ror.org/05pcv4v03","country_code":"IT","type":"education","lineage":["https://openalex.org/I183638586"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Bilel Kanoun","raw_affiliation_strings":["Dipartimento di Ingegneria, Universit\u00e0 Degli Studi di Napoli \u201cParthenope\u201d, 80133 Napoli NA, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria, Universit\u00e0 Degli Studi di Napoli \u201cParthenope\u201d, 80133 Napoli NA, Italy","institution_ids":["https://openalex.org/I183638586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001895565","display_name":"Giampaolo Ferraioli","orcid":"https://orcid.org/0000-0003-2441-0648"},"institutions":[{"id":"https://openalex.org/I183638586","display_name":"Parthenope University of Naples","ror":"https://ror.org/05pcv4v03","country_code":"IT","type":"education","lineage":["https://openalex.org/I183638586"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giampaolo Ferraioli","raw_affiliation_strings":["Dipartimento di Scienze e Tecnologie, Universit\u00e0 Degli Studi di Napoli \u201cParthenope\u201d, 80133 Napoli NA, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Scienze e Tecnologie, Universit\u00e0 Degli Studi di Napoli \u201cParthenope\u201d, 80133 Napoli NA, Italy","institution_ids":["https://openalex.org/I183638586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012118000","display_name":"Vito Pascazio","orcid":"https://orcid.org/0000-0002-5403-5482"},"institutions":[{"id":"https://openalex.org/I183638586","display_name":"Parthenope University of Naples","ror":"https://ror.org/05pcv4v03","country_code":"IT","type":"education","lineage":["https://openalex.org/I183638586"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vito Pascazio","raw_affiliation_strings":["Dipartimento di Ingegneria, Universit\u00e0 Degli Studi di Napoli \u201cParthenope\u201d, 80133 Napoli NA, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria, Universit\u00e0 Degli Studi di Napoli \u201cParthenope\u201d, 80133 Napoli NA, Italy","institution_ids":["https://openalex.org/I183638586"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029031588","display_name":"Gilda Schirinzi","orcid":"https://orcid.org/0000-0002-9656-2969"},"institutions":[{"id":"https://openalex.org/I183638586","display_name":"Parthenope University of Naples","ror":"https://ror.org/05pcv4v03","country_code":"IT","type":"education","lineage":["https://openalex.org/I183638586"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gilda Schirinzi","raw_affiliation_strings":["Dipartimento di Ingegneria, Universit\u00e0 Degli Studi di Napoli \u201cParthenope\u201d, 80133 Napoli NA, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria, Universit\u00e0 Degli Studi di Napoli \u201cParthenope\u201d, 80133 Napoli NA, Italy","institution_ids":["https://openalex.org/I183638586"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091335361"],"corresponding_institution_ids":["https://openalex.org/I183638586"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.6292,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.72035516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"11","issue":"12","first_page":"1473","last_page":"1473"},"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9952999949455261,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9853000044822693,"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/computer-science","display_name":"Computer science","score":0.8146278262138367},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.744090735912323},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6357676386833191},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5963431596755981},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5664762258529663},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5463848114013672},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5250142216682434},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.5087011456489563},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.49517908692359924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.494535893201828},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.45108988881111145},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.43931248784065247},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3456825017929077},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3030191659927368},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07550829648971558}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8146278262138367},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.744090735912323},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6357676386833191},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5963431596755981},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5664762258529663},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5463848114013672},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5250142216682434},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.5087011456489563},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.49517908692359924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.494535893201828},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.45108988881111145},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.43931248784065247},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3456825017929077},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3030191659927368},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07550829648971558},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs11121473","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11121473","pdf_url":"https://www.mdpi.com/2072-4292/11/12/1473/pdf?version=1561105142","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8c2b9c622f304d1eb95f2b0e51df65e2","is_oa":true,"landing_page_url":"https://doaj.org/article/8c2b9c622f304d1eb95f2b0e51df65e2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 11, Iss 12, p 1473 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/12/1473/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11121473","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"},{"id":"pmh:oai:ricerca.uniparthenope.it:11367/78945","is_oa":false,"landing_page_url":"http://hdl.handle.net/11367/78945","pdf_url":null,"source":{"id":"https://openalex.org/S4377196432","display_name":"CINECA IRIS Institutial research information system (Parthenope University of Naples)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183638586","host_organization_name":"Parthenope University of Naples","host_organization_lineage":["https://openalex.org/I183638586"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3390/rs11121473","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11121473","pdf_url":"https://www.mdpi.com/2072-4292/11/12/1473/pdf?version=1561105142","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2951367428.pdf","grobid_xml":"https://content.openalex.org/works/W2951367428.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1890783052","https://openalex.org/W1965555277","https://openalex.org/W2004376198","https://openalex.org/W2022459032","https://openalex.org/W2049909233","https://openalex.org/W2057771708","https://openalex.org/W2077023995","https://openalex.org/W2077282160","https://openalex.org/W2079071390","https://openalex.org/W2090563002","https://openalex.org/W2109030076","https://openalex.org/W2125384310","https://openalex.org/W2133665775","https://openalex.org/W2144851790","https://openalex.org/W2291519719","https://openalex.org/W2548712274","https://openalex.org/W2604403460","https://openalex.org/W2764175721","https://openalex.org/W2948463804","https://openalex.org/W2963583038","https://openalex.org/W2963847210","https://openalex.org/W2976586976","https://openalex.org/W6903680690"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2113052720","https://openalex.org/W2799624451","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/W2016481886"],"abstract_inverted_index":{"Speckle":[0],"noise":[1,83,199],"is":[2,63,71,145],"presented":[3,123],"as":[4,124],"an":[5,68,125],"inherent":[6],"dilemma":[7],"that":[8,70],"affects":[9],"the":[10,25,38,42,74,91,116,128,170,182,189],"image":[11,86,204],"processing":[12,107,190],"field,":[13],"and":[14,48,85,103,132,152,167,195],"in":[15,37,80,160,181],"particular":[16],"synthetic":[17],"aperture":[18],"radar":[19],"images.":[20],"In":[21,60,109],"order":[22],"to":[23,66,77,114,135,175],"mitigate":[24],"adverse":[26],"effects":[27],"caused":[28],"by":[29,187],"this":[30,110],"phenomenon,":[31],"several":[32],"approaches":[33],"have":[34],"been":[35],"introduced":[36],"scientific":[39],"community":[40],"during":[41],"last":[43],"three":[44],"decades":[45],"including":[46],"spatial-based":[47],"non-local":[49],"filtering":[50,96,179],"approaches.":[51],"However,":[52],"these":[53],"proposed":[54,171],"techniques":[55],"suffer":[56],"from":[57],"some":[58],"limitations.":[59],"fact,":[61],"it":[62],"very":[64],"difficult":[65],"find":[67],"approach":[69],"able,":[72],"on":[73,90,147],"one":[75],"hand,":[76,93],"perform":[78],"well":[79],"terms":[81],"of":[82,118,127,184],"reduction":[84,200],"detail":[87,205],"preservation":[88],"and,":[89],"other":[92,163],"provide":[94],"a":[95,105,119,138,149,177,192,202],"output":[97],"solution":[98],"without":[99],"high":[100],"computational":[101],"complexity":[102],"within":[104,191],"short":[106],"time.":[108],"paper,":[111],"we":[112],"aim":[113],"evaluate":[115],"performance":[117],"newly-developed":[120],"despeckling":[121],"algorithm,":[122],"enhancement":[126],"classical":[129],"Wiener":[130],"filter":[131],"properly":[133],"designed":[134],"work":[136],"with":[137,162,201],"Graphics":[139],"Processing":[140],"Unit":[141],"(GPU).":[142],"The":[143,157],"algorithm":[144],"tested":[146],"both":[148],"simulated":[150],"framework":[151],"real":[153],"Sentinel-1":[154],"SAR":[155],"data.":[156],"results,":[158],"obtained":[159],"comparison":[161],"filters,":[164],"are":[165],"interesting":[166],"promising.":[168],"Indeed,":[169],"method":[172],"turns":[173],"out":[174],"be":[176],"useful":[178],"instrument":[180],"case":[183],"large":[185],"images":[186],"performing":[188],"limited":[193],"time":[194],"ensuring":[196],"good":[197],"speckle":[198],"considerable":[203],"preservation.":[206]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}