{"id":"https://openalex.org/W2000358450","doi":"https://doi.org/10.1109/igarss.2013.6721198","title":"Spatial scale issue in temperature and emissivity separation from thermal hyperspectral imager","display_name":"Spatial scale issue in temperature and emissivity separation from thermal hyperspectral imager","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2000358450","doi":"https://doi.org/10.1109/igarss.2013.6721198","mag":"2000358450"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2013.6721198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6721198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","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":null,"display_name":"Yang Hang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Hang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Beijing","State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing Applic., Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Beijing","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing Applic., Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103651846","display_name":"Huang Zhao-qiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108906","display_name":"China Metallurgical Geology Bureau","ror":"https://ror.org/01n5xv175","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108906"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huang Zhaoqiang","raw_affiliation_strings":["Institute of Mineral Resources, China Metallurgical Geology Bureau, Beijing, China","Inst. of Miner. Resources, China Metall. Geol. Bur., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Mineral Resources, China Metallurgical Geology Bureau, Beijing, China","institution_ids":["https://openalex.org/I4210108906"]},{"raw_affiliation_string":"Inst. of Miner. Resources, China Metall. Geol. Bur., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103859675","display_name":"Zhang Lifu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Lifu","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Beijing","State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing Applic., Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Beijing","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing Applic., Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109304964","display_name":"Tong Qingxi","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Qingxi","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Beijing","State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing Applic., Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Beijing","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing Applic., Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210166112"],"apc_list":null,"apc_paid":null,"fwci":0.228,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61769865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"55","issue":null,"first_page":"485","last_page":"488"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9962999820709229,"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":0.9959999918937683,"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":0.8820865750312805},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7246417999267578},{"id":"https://openalex.org/keywords/emissivity","display_name":"Emissivity","score":0.7145519852638245},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6630167961120605},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5927623510360718},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5746912956237793},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.573940098285675},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.5038859248161316},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.493934690952301},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4888448119163513},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.4540941119194031},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.41149628162384033},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3807510733604431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37469127774238586},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23362743854522705},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.222911536693573},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1431385576725006},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11684617400169373},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1042623519897461}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8820865750312805},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7246417999267578},{"id":"https://openalex.org/C163651212","wikidata":"https://www.wikidata.org/wiki/Q899670","display_name":"Emissivity","level":2,"score":0.7145519852638245},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6630167961120605},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5927623510360718},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5746912956237793},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.573940098285675},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.5038859248161316},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.493934690952301},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4888448119163513},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.4540941119194031},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.41149628162384033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3807510733604431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37469127774238586},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23362743854522705},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.222911536693573},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1431385576725006},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11684617400169373},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1042623519897461},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2013.6721198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6721198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","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":13,"referenced_works":["https://openalex.org/W6326715","https://openalex.org/W1982669713","https://openalex.org/W2010486328","https://openalex.org/W2027352615","https://openalex.org/W2054434987","https://openalex.org/W2073201099","https://openalex.org/W2082691405","https://openalex.org/W2149184698","https://openalex.org/W2322710056","https://openalex.org/W4385165138","https://openalex.org/W6600261702","https://openalex.org/W6646262655","https://openalex.org/W6700536969"],"related_works":["https://openalex.org/W2068804904","https://openalex.org/W2080140811","https://openalex.org/W2899172485","https://openalex.org/W2326191128","https://openalex.org/W4237339516","https://openalex.org/W1996544059","https://openalex.org/W2301963602","https://openalex.org/W122018179","https://openalex.org/W2058740861","https://openalex.org/W2530088135"],"abstract_inverted_index":{"This":[0],"paper":[1],"analysis":[2],"the":[3,46],"scale":[4,8,39],"issue":[5],"using":[6,65],"four":[7],"transformation":[9],"methods":[10],"(center":[11],"pixels":[12,33],"method":[13,17,22,26,34,42],"(CPM),":[14],"simple":[15],"average":[16],"(SAM),":[18],"point":[19],"spread":[20],"function":[21],"(PSF),":[23],"wavelet":[24],"transform":[25],"(WTM)).":[27],"The":[28,55],"results":[29],"show":[30],"that":[31],"Center":[32],"is":[35,63],"not":[36],"fit":[37],"for":[38,59],"transformation;":[40],"PSF":[41],"can":[43],"keep":[44],"best":[45],"spatial":[47,57],"autocorrelation":[48],"of":[49],"images,":[50],"and":[51],"lowest":[52],"standard":[53],"deviation.":[54],"optimal":[56],"resolution":[58],"hyperspectral":[60],"thermal":[61],"infrared":[62],"6.25m,":[64],"semi-variance.":[66]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}