{"id":"https://openalex.org/W2766756873","doi":"https://doi.org/10.1109/whispers.2016.8071775","title":"Influence of sensor spectral properties on temperature and emissivity separation for hyperspectral thermal infrared data","display_name":"Influence of sensor spectral properties on temperature and emissivity separation for hyperspectral thermal infrared data","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2766756873","doi":"https://doi.org/10.1109/whispers.2016.8071775","mag":"2766756873"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2016.8071775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5100387161","display_name":"Ning Wang","orcid":"https://orcid.org/0000-0002-5935-8811"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ning Wang","raw_affiliation_strings":["Key laboratory of quantitative remote sensing information technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key laboratory of quantitative remote sensing information technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341996","display_name":"Yonggang Qian","orcid":"https://orcid.org/0000-0002-2601-0843"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong-Gang Qian","raw_affiliation_strings":["Key laboratory of quantitative remote sensing information technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key laboratory of quantitative remote sensing information technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100632273","display_name":"Lingling Ma","orcid":"https://orcid.org/0000-0003-3206-9662"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling-Ling Ma","raw_affiliation_strings":["Key laboratory of quantitative remote sensing information technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key laboratory of quantitative remote sensing information technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106404228","display_name":"Lingli Tang","orcid":"https://orcid.org/0009-0003-8443-9597"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingli Tang","raw_affiliation_strings":["Key laboratory of quantitative remote sensing information technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key laboratory of quantitative remote sensing information technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102890289","display_name":"Chuanrong Li","orcid":"https://orcid.org/0000-0002-7015-2419"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanrong Li","raw_affiliation_strings":["Key laboratory of quantitative remote sensing information technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key laboratory of quantitative remote sensing information technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100387161"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.19620341,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9998000264167786,"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/T12019","display_name":"Calibration and Measurement Techniques","score":0.9954000115394592,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9930999875068665,"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/emissivity","display_name":"Emissivity","score":0.9334035515785217},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.8280442953109741},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8157851696014404},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5405354499816895},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.532159686088562},{"id":"https://openalex.org/keywords/full-width-at-half-maximum","display_name":"Full width at half maximum","score":0.5116634368896484},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4712063670158386},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.46020975708961487},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.42437124252319336},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3110325336456299},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.24173873662948608},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2109726071357727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13635197281837463},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13004881143569946}],"concepts":[{"id":"https://openalex.org/C163651212","wikidata":"https://www.wikidata.org/wiki/Q899670","display_name":"Emissivity","level":2,"score":0.9334035515785217},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.8280442953109741},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8157851696014404},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5405354499816895},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.532159686088562},{"id":"https://openalex.org/C108649604","wikidata":"https://www.wikidata.org/wiki/Q1065170","display_name":"Full width at half maximum","level":2,"score":0.5116634368896484},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4712063670158386},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.46020975708961487},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.42437124252319336},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3110325336456299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.24173873662948608},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2109726071357727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13635197281837463},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13004881143569946},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2016.8071775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W416631514","https://openalex.org/W1976169856","https://openalex.org/W1982163866","https://openalex.org/W2055254487","https://openalex.org/W2113034257","https://openalex.org/W2114306877","https://openalex.org/W2148721214","https://openalex.org/W2150462807"],"related_works":["https://openalex.org/W2068804904","https://openalex.org/W2080140811","https://openalex.org/W2899172485","https://openalex.org/W2896728493","https://openalex.org/W2043512367","https://openalex.org/W2412485884","https://openalex.org/W2326191128","https://openalex.org/W216680316","https://openalex.org/W2016341506","https://openalex.org/W1594760848"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"different":[3,61],"temperature":[4,25,141],"and":[5,26,43,58,67,72,113,132],"emissivity":[6,27,46],"separation":[7,19],"(TES)":[8],"for":[9],"hyperspectral":[10],"thermal":[11],"infrared":[12],"data,":[13],"including":[14,64],"iterative":[15],"spectrally":[16],"smooth":[17],"temperature-emissivity":[18],"method":[20,31,35,41,48],"(ISSTES),":[21],"automatic":[22],"retrieval":[23,106],"of":[24,52,96,121,130,135,139],"using":[28],"spectral":[29,33,45,65,83,119],"smoothness":[30,34,84,97],"(ARTEMISS),":[32],"(SpSm),":[36],"downwelling":[37],"radiance":[38],"residual":[39],"index":[40],"(DRRI),":[42],"linear":[44],"constraint":[47],"(LSEC).":[49],"The":[50,79],"performances":[51],"these":[53],"TES":[54],"methods":[55,85],"are":[56],"analyzed":[57],"compared":[59],"under":[60],"instrument":[62,73,91,133],"characteristics,":[63,92],"shifting":[66,120],"full-width":[68],"half-maximum":[69],"(FWHM)":[70],"broadening":[71,129],"noise":[74,134],"with":[75,117],"the":[76,82,94,105,110,137],"simulated":[77],"data.":[78],"results":[80],"show":[81],"all":[86],"have":[87],"similar":[88],"sensitivities":[89],"to":[90],"but":[93],"definition":[95],"indices":[98],"is":[99,142],"an":[100],"important":[101],"factor":[102],"that":[103],"affects":[104],"accuracy.":[107],"LSEC":[108],"has":[109],"most":[111],"robust":[112],"accurate":[114],"performance,":[115],"even":[116],"a":[118],"0.1":[122],"cm":[123],"<sup":[124],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[125],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-1</sup>":[126],",":[127],"FWHM":[128],"20%":[131],"0.2K,":[136],"RMSE":[138],"retrieved":[140],"still":[143],"within":[144],"0.15K.":[145]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}