{"id":"https://openalex.org/W2090980003","doi":"https://doi.org/10.1109/igarss.2014.6947286","title":"SAR despeckling guided by an optical image","display_name":"SAR despeckling guided by an optical image","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2090980003","doi":"https://doi.org/10.1109/igarss.2014.6947286","mag":"2090980003"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2014.6947286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6947286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 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/A5080842029","display_name":"Luisa Verdoliva","orcid":"https://orcid.org/0000-0001-7286-7963"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"L. Verdoliva","raw_affiliation_strings":["DIETI, University Federico II of Naples, Italy"],"affiliations":[{"raw_affiliation_string":"DIETI, University Federico II of Naples, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084276866","display_name":"Donato Amitrano","orcid":"https://orcid.org/0000-0002-2355-4503"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Amitrano","raw_affiliation_strings":["DIETI, University Federico II of Naples, Italy"],"affiliations":[{"raw_affiliation_string":"DIETI, University Federico II of Naples, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068424399","display_name":"Raffaele Gaetano","orcid":"https://orcid.org/0000-0002-9470-4791"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. Gaetano","raw_affiliation_strings":["DIETI, University Federico II of Naples, Italy"],"affiliations":[{"raw_affiliation_string":"DIETI, University Federico II of Naples, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040866115","display_name":"Giuseppe Ruello","orcid":"https://orcid.org/0000-0002-0322-0880"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G. Ruello","raw_affiliation_strings":["DIETI, University Federico II of Naples, Italy"],"affiliations":[{"raw_affiliation_string":"DIETI, University Federico II of Naples, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018497605","display_name":"G. Poggi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G. Poggi","raw_affiliation_strings":["DIETI, University Federico II of Naples, Italy"],"affiliations":[{"raw_affiliation_string":"DIETI, University Federico II of Naples, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080842029"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4877,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70618196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3698","last_page":"3701"},"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":0.9966999888420105,"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":0.9718000292778015,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7202170491218567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7170937061309814},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.7021225094795227},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6602134704589844},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6369333267211914},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5838284492492676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5684752464294434},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5211563110351562},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5158371329307556},{"id":"https://openalex.org/keywords/optical-image","display_name":"Optical image","score":0.4590654671192169},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4109905958175659},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.060823649168014526}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7202170491218567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7170937061309814},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.7021225094795227},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6602134704589844},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6369333267211914},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5838284492492676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5684752464294434},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5211563110351562},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5158371329307556},{"id":"https://openalex.org/C2986007928","wikidata":"https://www.wikidata.org/wiki/Q478798","display_name":"Optical image","level":3,"score":0.4590654671192169},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4109905958175659},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.060823649168014526},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2014.6947286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6947286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2004376198","https://openalex.org/W2022459032","https://openalex.org/W2056370875","https://openalex.org/W2079071390","https://openalex.org/W2094481323","https://openalex.org/W2099244020","https://openalex.org/W2117330251","https://openalex.org/W2125188192","https://openalex.org/W2128033169","https://openalex.org/W2131120753","https://openalex.org/W2136396015","https://openalex.org/W2144851790"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2029805956"],"abstract_inverted_index":{"We":[0],"address":[1],"the":[2,20,37,44,50,60,78,112],"problem":[3],"of":[4,23,39,62,118],"SAR":[5,72,90],"despeckling":[6],"by":[7,13,99],"resorting":[8],"to":[9,32,35,47,58,70,76,115],"nonlocal":[10,63],"filtering":[11],"guided":[12],"an":[14],"optical":[15,25,45,92],"image.":[16],"In":[17,81],"fact,":[18],"given":[19],"increasing":[21],"availability":[22],"remote-sensing":[24],"images,":[26],"it":[27],"makes":[28],"perfect":[29],"sense":[30],"trying":[31],"use":[33],"them":[34],"improve":[36],"performance":[38],"despeckling.":[40],"Our":[41],"technique":[42],"exploits":[43],"image":[46],"reliably":[48],"estimate":[49,71],"statistical":[51],"similarity":[52],"among":[53],"pixels,":[54],"which":[55],"is":[56],"used":[57,69],"evaluate":[59],"weights":[61],"filtering.":[64],"Optical":[65],"data":[66],"are":[67,84],"not":[68],"values,":[73],"but":[74],"only":[75],"guide":[77],"overall":[79],"process.":[80],"addition,":[82],"they":[83],"discarded":[85],"altogether":[86],"in":[87],"regions":[88],"where":[89],"and":[91],"images":[93,117],"present":[94],"different":[95],"local":[96],"geometries,":[97],"identified":[98],"a":[100],"preliminary":[101],"classification":[102],"step,":[103],"avoiding":[104],"thus":[105],"any":[106],"additional":[107],"distortion.":[108],"Experimental":[109],"results":[110],"show":[111],"proposed":[113],"approach":[114],"provide":[116],"better":[119],"quality":[120],"than":[121],"state-of-the-art":[122],"conventional":[123],"filters.":[124]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}