{"id":"https://openalex.org/W2984633727","doi":"https://doi.org/10.1109/igarss.2019.8897761","title":"Nonlocal Sar Image Despeckling by Convolutional Neural Networks","display_name":"Nonlocal Sar Image Despeckling by Convolutional Neural Networks","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2984633727","doi":"https://doi.org/10.1109/igarss.2019.8897761","mag":"2984633727"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8897761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8897761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5085769320","display_name":"Davide Cozzolino","orcid":"https://orcid.org/0000-0001-6158-7595"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"D. Cozzolino","raw_affiliation_strings":["University Federico II of Naples, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"University Federico II of Naples, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080842029","display_name":"Luisa Verdoliva","orcid":"https://orcid.org/0000-0001-7286-7963"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"L. Verdoliva","raw_affiliation_strings":["University Federico II of Naples, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"University Federico II of Naples, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034757970","display_name":"Giuseppe Scarpa","orcid":"https://orcid.org/0000-0001-6458-9107"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G. Scarpa","raw_affiliation_strings":["University Federico II of Naples, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"University Federico II of Naples, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081981044","display_name":"Giovanni Poggi","orcid":"https://orcid.org/0000-0003-1327-4812"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G. Poggi","raw_affiliation_strings":["University Federico II of Naples, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"University Federico II of Naples, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085769320"],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":1.5183,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.86603092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9973000288009644,"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":0.9959999918937683,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7595019340515137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7502683401107788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.691195547580719},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5627519488334656},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42556536197662354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4233555793762207}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7595019340515137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7502683401107788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.691195547580719},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5627519488334656},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42556536197662354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4233555793762207}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2019.8897761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8897761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:ricerca.uniparthenope.it:11367/114893","is_oa":false,"landing_page_url":"https://hdl.handle.net/11367/114893","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/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2004376198","https://openalex.org/W2010491386","https://openalex.org/W2022459032","https://openalex.org/W2077282160","https://openalex.org/W2131120753","https://openalex.org/W2136396015","https://openalex.org/W2144851790","https://openalex.org/W2508457857","https://openalex.org/W2604403460","https://openalex.org/W2621042270","https://openalex.org/W2757678917","https://openalex.org/W2766341514","https://openalex.org/W2789766190","https://openalex.org/W2793775504","https://openalex.org/W2959574828","https://openalex.org/W2964046397","https://openalex.org/W3104467360"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Nonlocal":[0],"methods":[1,20],"are":[2],"state-of-the-art":[3],"in":[4],"SAR":[5,73],"despeckling,":[6,54],"thanks":[7],"to":[8,11,30,44,78],"their":[9],"ability":[10],"exploit":[12],"image":[13],"self-similarity.":[14],"Given":[15],"sufficient":[16],"training":[17],"data,":[18],"however,":[19],"based":[21],"on":[22,69],"deep":[23,42,66],"learning":[24,43],"have":[25],"proven":[26],"highly":[27],"competitive.":[28],"Therefore,":[29],"take":[31],"the":[32,39],"best":[33],"of":[34,41],"both":[35],"approaches,":[36],"we":[37],"investigate":[38],"use":[40,49],"improve":[45],"nonlocal":[46,52,81],"despeckling.":[47],"We":[48],"plain":[50],"non-iterative":[51],"means":[53],"with":[55],"weights":[56],"provided,":[57],"for":[58],"each":[59],"estimation":[60],"window,":[61],"by":[62],"a":[63],"suitably":[64],"trained":[65],"CNN.":[67],"Experiments":[68],"synthetic":[70],"and":[71],"real":[72],"data":[74],"prove":[75],"this":[76],"approach":[77],"outperform":[79],"conventional":[80],"methods.":[82]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}