{"id":"https://openalex.org/W3207560082","doi":"https://doi.org/10.1109/igarss47720.2021.9553419","title":"Learning Based Atmospheric Compensation: Results on Prisma Data","display_name":"Learning Based Atmospheric Compensation: Results on Prisma Data","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3207560082","doi":"https://doi.org/10.1109/igarss47720.2021.9553419","mag":"3207560082"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9553419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","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/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":["Universit\u00e0 di Pisa, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e0 di Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064336799","display_name":"Marco Diani","orcid":"https://orcid.org/0000-0003-1520-1991"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Diani","raw_affiliation_strings":["Accademia Navale, Livorno, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Accademia Navale, Livorno, Italy","institution_ids":[]}]},{"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":["Universit\u00e0 di Pisa, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e0 di Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"3201","last_page":"3204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9973999857902527,"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":0.9970999956130981,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9111857414245605},{"id":"https://openalex.org/keywords/vnir","display_name":"VNIR","score":0.7308064699172974},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6970032453536987},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.5917041301727295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5659995675086975},{"id":"https://openalex.org/keywords/electromagnetic-spectrum","display_name":"Electromagnetic spectrum","score":0.5610072016716003},{"id":"https://openalex.org/keywords/earth-observation","display_name":"Earth observation","score":0.4941265881061554},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.4509468078613281},{"id":"https://openalex.org/keywords/atmospheric-infrared-sounder","display_name":"Atmospheric Infrared Sounder","score":0.4433855414390564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34539222717285156},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19177868962287903},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17294743657112122},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.16632786393165588},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15048041939735413},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.14470329880714417},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1404782235622406}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9111857414245605},{"id":"https://openalex.org/C5457282","wikidata":"https://www.wikidata.org/wiki/Q7907352","display_name":"VNIR","level":3,"score":0.7308064699172974},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6970032453536987},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.5917041301727295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5659995675086975},{"id":"https://openalex.org/C155761240","wikidata":"https://www.wikidata.org/wiki/Q133139","display_name":"Electromagnetic spectrum","level":2,"score":0.5610072016716003},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.4941265881061554},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.4509468078613281},{"id":"https://openalex.org/C2779067591","wikidata":"https://www.wikidata.org/wiki/Q3628987","display_name":"Atmospheric Infrared Sounder","level":3,"score":0.4433855414390564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34539222717285156},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19177868962287903},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17294743657112122},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.16632786393165588},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15048041939735413},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.14470329880714417},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1404782235622406},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss47720.2021.9553419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1134530","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1134530","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1641376073","https://openalex.org/W2040511445","https://openalex.org/W2100300183","https://openalex.org/W2773062326","https://openalex.org/W2797893181","https://openalex.org/W2883362252","https://openalex.org/W2901876960","https://openalex.org/W2953277363","https://openalex.org/W2985950345","https://openalex.org/W3011532417","https://openalex.org/W3080416841","https://openalex.org/W6674807401"],"related_works":["https://openalex.org/W2809209827","https://openalex.org/W4387802641","https://openalex.org/W2027460042","https://openalex.org/W2045337428","https://openalex.org/W2044082451","https://openalex.org/W2801095402","https://openalex.org/W2017014096","https://openalex.org/W2756151426","https://openalex.org/W2984191471","https://openalex.org/W4388534006"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3,36],"extend":[4],"the":[5,21,28,33,38,48,59,66,69,77,83,94,97],"recently":[6],"proposed":[7],"Learning-Based":[8],"approach":[9],"to":[10,16,42,65,92],"Atmospheric":[11],"Compensation":[12],"(LBAC)":[13],"with":[14],"respect":[15],"two":[17],"different":[18],"aspects:":[19],"1)":[20],"platform":[22],"for":[23],"data":[24],"acquisition":[25],"and":[26,53,99,114],"2)":[27],"spectral":[29],"range":[30],"covered":[31],"by":[32],"sensor.":[34],"Particularly,":[35],"propose":[37],"extension":[39],"of":[40,58,68,82,102],"LBAC":[41],"spaceborne":[43,103],"hyperspectral":[44,104,110],"sensor":[45,67],"operating":[46],"in":[47],"Visible":[49],"Near":[50],"InfraRed":[51,55],"(VNIR)":[52],"Short-Wave":[54],"(SWIR)":[56],"portion":[57],"electromagnetic":[60],"spectrum.":[61],"We":[62],"specifically":[63],"refer":[64],"PRISMA":[70,109],"(PRecursore":[71],"IperSpettrale":[72],"della":[73],"Missione":[74],"Applicativa)":[75],"mission,":[76],"recent":[78],"Earth":[79],"Observation":[80],"mission":[81],"Italian":[84],"Space":[85],"Agency":[86],"that":[87],"offers":[88],"a":[89],"great":[90],"opportunity":[91],"improve":[93],"knowledge":[95],"on":[96,108],"scientific":[98],"commercial":[100],"applications":[101],"data.":[105],"Results":[106],"obtained":[107],"images":[111],"are":[112],"presented":[113],"discussed.":[115]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2021-10-25T00:00:00"}
