{"id":"https://openalex.org/W2918311843","doi":"https://doi.org/10.1109/tgrs.2019.2897498","title":"Coupled Subspace-Based Atmospheric Compensation of LWIR Hyperspectral Data","display_name":"Coupled Subspace-Based Atmospheric Compensation of LWIR Hyperspectral Data","publication_year":2019,"publication_date":"2019-02-27","ids":{"openalex":"https://openalex.org/W2918311843","doi":"https://doi.org/10.1109/tgrs.2019.2897498","mag":"2918311843"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2019.2897498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2897498","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5061282109","display_name":"Nicola Acito","orcid":"https://orcid.org/0000-0003-1984-7992"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"N. Acito","raw_affiliation_strings":["Dip. Armi Navali, Accademia Navale, Livorno, Italy"],"raw_orcid":"https://orcid.org/0000-0003-1984-7992","affiliations":[{"raw_affiliation_string":"Dip. Armi Navali, Accademia Navale, Livorno, Italy","institution_ids":[]}]},{"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":["Dip. Armi Navali, Accademia Navale, Livorno, Italy"],"raw_orcid":"https://orcid.org/0000-0003-1520-1991","affiliations":[{"raw_affiliation_string":"Dip. Armi Navali, 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":["Department of Information Engineering, University of Pisa, Pisa, Italy"],"raw_orcid":"https://orcid.org/0000-0002-9366-2470","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of 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":1.7693,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.86566381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"57","issue":"8","first_page":"5224","last_page":"5238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9993000030517578,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9993000030517578,"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/T10766","display_name":"Urban Heat Island Mitigation","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9984999895095825,"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":0.8817270994186401},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.8061646223068237},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.720505952835083},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.655613362789154},{"id":"https://openalex.org/keywords/atmospheric-model","display_name":"Atmospheric model","score":0.563443660736084},{"id":"https://openalex.org/keywords/atmospheric-infrared-sounder","display_name":"Atmospheric Infrared Sounder","score":0.4788398742675781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47634389996528625},{"id":"https://openalex.org/keywords/atmospheric-correction","display_name":"Atmospheric correction","score":0.4693361818790436},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.4261448085308075},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32108861207962036},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2537345886230469},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.2402667999267578},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2318529486656189},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21422281861305237},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2140730321407318},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15207833051681519},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.140196293592453}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8817270994186401},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.8061646223068237},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.720505952835083},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.655613362789154},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.563443660736084},{"id":"https://openalex.org/C2779067591","wikidata":"https://www.wikidata.org/wiki/Q3628987","display_name":"Atmospheric Infrared Sounder","level":3,"score":0.4788398742675781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47634389996528625},{"id":"https://openalex.org/C2778329001","wikidata":"https://www.wikidata.org/wiki/Q4817104","display_name":"Atmospheric correction","level":3,"score":0.4693361818790436},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.4261448085308075},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32108861207962036},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2537345886230469},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.2402667999267578},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2318529486656189},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21422281861305237},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2140730321407318},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15207833051681519},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.140196293592453},{"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/tgrs.2019.2897498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2897498","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1020159","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/8654213","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/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W59009386","https://openalex.org/W571150846","https://openalex.org/W1488833649","https://openalex.org/W1641376073","https://openalex.org/W1980668200","https://openalex.org/W1993180417","https://openalex.org/W2013440722","https://openalex.org/W2022993195","https://openalex.org/W2027352615","https://openalex.org/W2040511445","https://openalex.org/W2055254487","https://openalex.org/W2059734066","https://openalex.org/W2069711518","https://openalex.org/W2072209573","https://openalex.org/W2091397530","https://openalex.org/W2094277212","https://openalex.org/W2112229432","https://openalex.org/W2114306877","https://openalex.org/W2123817565","https://openalex.org/W2131085793","https://openalex.org/W2144060461","https://openalex.org/W2150462807","https://openalex.org/W2153193095","https://openalex.org/W2154106054","https://openalex.org/W2169447826","https://openalex.org/W2341721994","https://openalex.org/W2521761292","https://openalex.org/W2564645207","https://openalex.org/W2620361287","https://openalex.org/W2765717481","https://openalex.org/W2893769821","https://openalex.org/W3011532417","https://openalex.org/W4300420063","https://openalex.org/W4388375774","https://openalex.org/W6629355409","https://openalex.org/W6636932914","https://openalex.org/W6726713983"],"related_works":["https://openalex.org/W2412485884","https://openalex.org/W2342595496","https://openalex.org/W2052926689","https://openalex.org/W2024941733","https://openalex.org/W2072798426","https://openalex.org/W2121661918","https://openalex.org/W2343343867","https://openalex.org/W1525693742","https://openalex.org/W1967031743","https://openalex.org/W1547737723"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3,138],"atmospheric":[4,49,116,142],"correction":[5],"in":[6,10,26,75],"hyperspectral":[7,151],"data":[8,128],"acquired":[9],"the":[11,48,52,58,100,108,133,136],"long-wave":[12],"infrared":[13],"(LWIR)":[14],"spectral":[15],"range.":[16],"Atmospheric":[17],"compensation":[18],"(AC)":[19],"is":[20,29,43,85,96,104,153],"approached":[21],"from":[22],"a":[23,36,40,67,76,82,88,148],"new":[24],"perspective":[25],"that":[27,70],"it":[28],"reformulated":[30],"as":[31,87],"an":[32,120],"estimation":[33,91],"problem":[34],"on":[35,107,126],"low-rank":[37],"subspace.":[38],"Specifically,":[39],"subspace-based":[41],"model":[42,69],"exploited":[44],"to":[45,73,98,131,140],"represent":[46],"both":[47],"transmittance":[50],"and":[51,111],"upwelling":[53],"radiance.":[54],"Taking":[55],"into":[56],"account":[57],"inherent":[59],"correlation":[60],"between":[61],"these":[62],"two":[63],"quantities,":[64],"we":[65],"adopt":[66],"subspace":[68],"constrains":[71],"them":[72],"vary":[74],"physically":[77],"consistent":[78],"way.":[79],"Exploiting":[80],"such":[81],"model,":[83],"AC":[84],"formulated":[86],"nonlinear":[89],"least-squares":[90],"problem.":[92],"An":[93],"automatic":[94],"procedure":[95],"proposed":[97],"estimate":[99],"unknown":[101],"parameters,":[102],"which":[103],"based":[105],"only":[106],"image":[109,152],"analysis":[110,123],"does":[112],"not":[113],"need":[114],"any":[115],"measurements.":[117],"Results":[118],"of":[119,135],"extensive":[121],"experimental":[122,145],"carried":[124],"out":[125],"simulated":[127],"are":[129],"used":[130],"discuss":[132],"performance":[134],"algorithm":[137],"respect":[139],"different":[141],"conditions.":[143],"Finally,":[144],"evidence":[146],"over":[147],"real":[149],"LWIR":[150],"provided.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-03-11T00:00:00"}
