{"id":"https://openalex.org/W4312239803","doi":"https://doi.org/10.1109/whispers56178.2022.9955126","title":"Defective Pixel Detection And Correction In Prisma Hyperspectral Data","display_name":"Defective Pixel Detection And Correction In Prisma Hyperspectral Data","publication_year":2022,"publication_date":"2022-09-13","ids":{"openalex":"https://openalex.org/W4312239803","doi":"https://doi.org/10.1109/whispers56178.2022.9955126"},"language":"en","primary_location":{"id":"doi:10.1109/whispers56178.2022.9955126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers56178.2022.9955126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5064336799","display_name":"Marco Diani","orcid":"https://orcid.org/0000-0003-1520-1991"},"institutions":[{"id":"https://openalex.org/I205887594","display_name":"Rina Services (Italy)","ror":"https://ror.org/0562tzd79","country_code":"IT","type":"company","lineage":["https://openalex.org/I205887594"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M. Diani","raw_affiliation_strings":["Accademia Navale,Livorno,Italy","Accademia Navale, Livorno, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Accademia Navale,Livorno,Italy","institution_ids":["https://openalex.org/I205887594"]},{"raw_affiliation_string":"Accademia Navale, Livorno, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061282109","display_name":"Nicola Acito","orcid":"https://orcid.org/0000-0003-1984-7992"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"N. Acito","raw_affiliation_strings":["Università di Pisa,Dipartimento di Ingegneria dell’Informazione,Pisa,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Università di Pisa,Dipartimento di Ingegneria dell’Informazione,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010289728","display_name":"Michael Alibani","orcid":"https://orcid.org/0000-0003-0023-4969"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M. Alibani","raw_affiliation_strings":["Università di Pisa,Dipartimento di Ingegneria dell’Informazione,Pisa,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Università di Pisa,Dipartimento di Ingegneria dell’Informazione,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089641976","display_name":"Giovanni Corsini","orcid":"https://orcid.org/0000-0002-9366-2470"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G. Corsini","raw_affiliation_strings":["Università di Pisa,Dipartimento di Ingegneria dell’Informazione,Pisa,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Università di Pisa,Dipartimento di Ingegneria dell’Informazione,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9934999942779541,"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/T12019","display_name":"Calibration and Measurement Techniques","score":0.9868999719619751,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.983849823474884},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.9409085512161255},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.8103029131889343},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.681965708732605},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6786674857139587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6454933881759644},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.642235517501831},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5917527079582214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5871230959892273},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5525460839271545},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23453128337860107},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19484776258468628},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17700520157814026},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07176157832145691}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.983849823474884},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.9409085512161255},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8103029131889343},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.681965708732605},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6786674857139587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6454933881759644},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.642235517501831},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5917527079582214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5871230959892273},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5525460839271545},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23453128337860107},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19484776258468628},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17700520157814026},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07176157832145691}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/whispers56178.2022.9955126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers56178.2022.9955126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1160925","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1160925","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","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":10,"referenced_works":["https://openalex.org/W2024288510","https://openalex.org/W2083164294","https://openalex.org/W2087660735","https://openalex.org/W2088036418","https://openalex.org/W2106499350","https://openalex.org/W2130833801","https://openalex.org/W2136567291","https://openalex.org/W2167799103","https://openalex.org/W2972694929","https://openalex.org/W3095280827"],"related_works":["https://openalex.org/W2911259277","https://openalex.org/W4386427838","https://openalex.org/W2800956885","https://openalex.org/W2533019003","https://openalex.org/W2057283258","https://openalex.org/W1788560349","https://openalex.org/W2626158795","https://openalex.org/W2078656815","https://openalex.org/W2391021239","https://openalex.org/W2412485884"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,102],"new":[3],"strategy":[4,85],"to":[5,14,34],"identify":[6],"bad":[7],"pixels":[8],"in":[9,50,87,107],"hyperspectral":[10,37,67],"pushbroom":[11],"sensors":[12],"and":[13,25,106],"replace":[15],"the":[16,40,44,58,65,71,80,83,110],"inaccurate":[17],"radiance":[18,112],"values":[19],"with":[20],"estimates":[21],"derived":[22],"from":[23],"spectral":[24,104],"spatial":[26],"analysis.":[27],"The":[28],"proposed":[29,84],"method":[30],"is":[31,46],"quite":[32],"effective":[33],"correct":[35],"spaceborne":[36],"data":[38],"where":[39],"regular":[41],"calibration":[42],"of":[43,82,92,101],"instrument":[45,68],"more":[47],"complex":[48],"than":[49],"airborne":[51],"applications.":[52],"In":[53],"this":[54],"paper":[55],"we":[56],"discuss":[57],"results":[59,78],"obtained":[60],"on":[61],"images":[62],"acquired":[63],"by":[64,70],"PRISMA":[66],"operated":[69],"Italian":[72],"Space":[73],"Agency":[74],"(ASI).":[75],"These":[76],"preliminary":[77],"show":[79],"effectiveness":[81],"both":[86],"detecting":[88],"even":[89],"subtle":[90],"sources":[91],"fixed":[93],"pattern":[94],"noise,":[95],"otherwise":[96],"undetectable":[97],"using":[98],"visual":[99],"inspection":[100],"single":[103],"band,":[105],"accurately":[108],"reconstructing":[109],"missing":[111],"values.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}