{"id":"https://openalex.org/W4391946889","doi":"https://doi.org/10.1109/whispers61460.2023.10430772","title":"FY-3E HIRAS-II Channel Selection for Temperature and Humidity Profile Retrieval using Principal Component Analysis and Weighting Functions","display_name":"FY-3E HIRAS-II Channel Selection for Temperature and Humidity Profile Retrieval using Principal Component Analysis and Weighting Functions","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4391946889","doi":"https://doi.org/10.1109/whispers61460.2023.10430772"},"language":"en","primary_location":{"id":"doi:10.1109/whispers61460.2023.10430772","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/whispers61460.2023.10430772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 13th Workshop on Hyperspectral Imaging 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/A5100584837","display_name":"Li-Hao Han","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li-Hao Han","raw_affiliation_strings":["Fudan University,Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education),Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education),Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011363523","display_name":"Geng\u2010Ming Jiang","orcid":"https://orcid.org/0000-0002-8022-1959"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Geng-Ming Jiang","raw_affiliation_strings":["Fudan University,Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education),Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education),Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100584837"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18241857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11111","display_name":"Spectroscopy and Laser Applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11111","display_name":"Spectroscopy and Laser Applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9868999719619751,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.8524003028869629},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7648109793663025},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5771600008010864},{"id":"https://openalex.org/keywords/humidity","display_name":"Humidity","score":0.5062300562858582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45115411281585693},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.44186729192733765},{"id":"https://openalex.org/keywords/component-analysis","display_name":"Component analysis","score":0.4305903911590576},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18423843383789062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18410074710845947},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.18017297983169556},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1658780574798584},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.052434056997299194}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8524003028869629},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7648109793663025},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5771600008010864},{"id":"https://openalex.org/C151420433","wikidata":"https://www.wikidata.org/wiki/Q180600","display_name":"Humidity","level":2,"score":0.5062300562858582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45115411281585693},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.44186729192733765},{"id":"https://openalex.org/C2780692498","wikidata":"https://www.wikidata.org/wiki/Q16950721","display_name":"Component analysis","level":2,"score":0.4305903911590576},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18423843383789062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18410074710845947},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.18017297983169556},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1658780574798584},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.052434056997299194}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers61460.2023.10430772","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/whispers61460.2023.10430772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1559460077","https://openalex.org/W2061496927","https://openalex.org/W2130158591","https://openalex.org/W2374194998","https://openalex.org/W2791517694"],"related_works":["https://openalex.org/W2073510591","https://openalex.org/W1888749522","https://openalex.org/W3027745756","https://openalex.org/W1974824484","https://openalex.org/W2371382315","https://openalex.org/W2370389335","https://openalex.org/W2413079988","https://openalex.org/W1589460923","https://openalex.org/W2390662382","https://openalex.org/W2087310503"],"abstract_inverted_index":{"The":[0,145],"second":[1],"generation":[2],"of":[3,87,103,128,157],"Hyperspectral":[4],"Infrared":[5],"Atmospheric":[6],"Sounder":[7],"(HIRAS-II)":[8],"on":[9,90],"the":[10,33,47,55,60,66,83,91,95,101,104,114,126,136,142,149,155,168,172,176,182],"Chinese":[11],"Fengyun":[12],"3E":[13],"(FY-3E)":[14],"has":[15],"3053":[16],"channels":[17,36,56,96,110,122,169],"and":[18,27,40,51,71,94,118,131,154,161,175],"its":[19],"measurements":[20],"are":[21,44,63,74,97,111,123,139],"useful":[22],"to":[23,59,76,81,100],"retrieve":[24],"atmospheric":[25,38,129,159],"temperature":[26,39,70,130,160],"humidity":[28,41,72,132,162],"profiles.":[29],"In":[30],"this":[31],"paper,":[32],"FY-3E":[34,120],"HIRAS-II":[35,121],"for":[37,69,125],"profile":[42,163],"retrieval":[43,143,164],"selected":[45,112,124,170],"using":[46,113,141],"principal":[48,77,92],"component":[49,78],"analysis":[50,79],"weighting":[52,115,177],"functions.":[53,116],"First,":[54],"strongly":[57],"sensitive":[58],"trace":[61],"gases":[62],"excluded":[64],"Then,":[65],"Jacobi":[67],"matrices":[68],"profiles":[73],"subjected":[75],"separately":[80],"calculate":[82],"cumulative":[84,105],"influence":[85,106],"coefficients":[86],"each":[88],"channel":[89,137,150],"components,":[93],"ranked":[98],"according":[99],"magnitude":[102],"coefficients.":[107],"Next,":[108],"more":[109],"190":[117],"154":[119],"retrievals":[127],"profiles,":[133],"respectively.":[134],"Finally,":[135],"selections":[138],"evaluated":[140],"performance.":[144],"results":[146],"show":[147],"that":[148],"selection":[151],"is":[152,165],"valid,":[153],"accuracy":[156],"both":[158],"improved":[166],"with":[167],"by":[171],"PCA":[173],"method":[174],"function":[178],"method,":[179],"especially":[180],"near":[181],"surfaces.":[183]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}