{"id":"https://openalex.org/W4210783481","doi":"https://doi.org/10.1109/lgrs.2022.3149045","title":"Retrieval of Multiple Atmospheric Environmental Parameters From Images With Deep Learning","display_name":"Retrieval of Multiple Atmospheric Environmental Parameters From Images With Deep Learning","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4210783481","doi":"https://doi.org/10.1109/lgrs.2022.3149045"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3149045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3149045","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10138/354290","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010903128","display_name":"Peifeng Su","orcid":"https://orcid.org/0000-0002-2423-2450"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Peifeng Su","raw_affiliation_strings":["Faculty of Science, University of Helsinki, Helsinki, Finland"],"raw_orcid":"https://orcid.org/0000-0002-2423-2450","affiliations":[{"raw_affiliation_string":"Faculty of Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358892","display_name":"Yongchun Liu","orcid":"https://orcid.org/0000-0002-6758-2151"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongchun Liu","raw_affiliation_strings":["Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054443906","display_name":"Sasu Tarkoma","orcid":"https://orcid.org/0000-0003-4220-3650"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Sasu Tarkoma","raw_affiliation_strings":["Faculty of Science, University of Helsinki, Helsinki, Finland"],"raw_orcid":"https://orcid.org/0000-0003-4220-3650","affiliations":[{"raw_affiliation_string":"Faculty of Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063132555","display_name":"Andrew Rebeiro\u2010Hargrave","orcid":"https://orcid.org/0000-0003-2080-6960"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Andrew Rebeiro-Hargrave","raw_affiliation_strings":["Faculty of Science, University of Helsinki, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070326299","display_name":"Tuukka Pet\u00e4j\u00e4","orcid":"https://orcid.org/0000-0002-1881-9044"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Tuukka Petaja","raw_affiliation_strings":["Faculty of Science, University of Helsinki, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000471665","display_name":"Markku Kulmala","orcid":"https://orcid.org/0000-0003-3464-7825"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Markku Kulmala","raw_affiliation_strings":["Faculty of Science, University of Helsinki, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036822460","display_name":"Petri Pellikka","orcid":"https://orcid.org/0000-0002-5996-9268"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Petri Pellikka","raw_affiliation_strings":["Faculty of Science, University of Helsinki, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.783,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.70652401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9976999759674072,"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/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/visibility","display_name":"Visibility","score":0.6815537214279175},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4752514064311981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4557390809059143},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4556276500225067},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33436888456344604},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.23816516995429993},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.23801377415657043},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1120758056640625}],"concepts":[{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.6815537214279175},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4752514064311981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4557390809059143},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4556276500225067},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33436888456344604},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.23816516995429993},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.23801377415657043},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1120758056640625}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lgrs.2022.3149045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3149045","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},{"id":"pmh:oai:helda.helsinki.fi:10138/354290","is_oa":true,"landing_page_url":"http://hdl.handle.net/10138/354290","pdf_url":null,"source":{"id":"https://openalex.org/S4210213322","display_name":"Ty\u00f6v\u00e4entutkimus Vuosikirja","issn_l":"0784-1272","issn":["0784-1272","1459-7780"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:helda.helsinki.fi:10138/354290","is_oa":true,"landing_page_url":"http://hdl.handle.net/10138/354290","pdf_url":null,"source":{"id":"https://openalex.org/S4210213322","display_name":"Ty\u00f6v\u00e4entutkimus Vuosikirja","issn_l":"0784-1272","issn":["0784-1272","1459-7780"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2596121785","display_name":null,"funder_award_id":"UIA03-240","funder_id":"https://openalex.org/F4320328501","funder_display_name":"Business Finland"},{"id":"https://openalex.org/G2803261820","display_name":null,"funder_award_id":"2019YFC0214701","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G2942734585","display_name":"Connected Intelligent Industries Finland \u2014 Helsingin Yliopisto (6884/31/2018)","funder_award_id":"6884/31/2018","funder_id":"https://openalex.org/F4320328501","funder_display_name":"Business Finland"},{"id":"https://openalex.org/G8255370917","display_name":null,"funder_award_id":"41877306","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"},{"id":"https://openalex.org/F4320324303","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52"},{"id":"https://openalex.org/F4320328501","display_name":"Business Finland","ror":"https://ror.org/05bgf9v38"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1539469220","https://openalex.org/W1552073401","https://openalex.org/W1979319585","https://openalex.org/W1992345060","https://openalex.org/W2108890501","https://openalex.org/W2128254161","https://openalex.org/W2194775991","https://openalex.org/W2197989507","https://openalex.org/W2501188595","https://openalex.org/W2502312327","https://openalex.org/W2604272310","https://openalex.org/W2621121878","https://openalex.org/W2784819455","https://openalex.org/W2791942352","https://openalex.org/W2795135049","https://openalex.org/W2883789162","https://openalex.org/W2913322446","https://openalex.org/W2918843799","https://openalex.org/W2962793481","https://openalex.org/W2963074253","https://openalex.org/W2963446712","https://openalex.org/W2963901865","https://openalex.org/W2963928582","https://openalex.org/W2972356360","https://openalex.org/W3008439211","https://openalex.org/W3013702497","https://openalex.org/W3131610992","https://openalex.org/W4207030126","https://openalex.org/W6684191040","https://openalex.org/W6724804524"],"related_works":["https://openalex.org/W2362400270","https://openalex.org/W1537811633","https://openalex.org/W2353028846","https://openalex.org/W2009218497","https://openalex.org/W1872333849","https://openalex.org/W2336203334","https://openalex.org/W4283804734","https://openalex.org/W1578264022","https://openalex.org/W1972960823","https://openalex.org/W3174515944"],"abstract_inverted_index":{"Retrieving":[0],"atmospheric":[1,6,69,87,91,126,198],"environmental":[2,50,70,88,127],"parameters":[3,71,89],"such":[4,162],"as":[5,163],"horizontal":[7,49,92,146,199],"visibility":[8],"and":[9,104,131,148,166,168,195,202,220],"mass":[10],"concentration":[11],"of":[12,18,67,86,134,211],"aerosol":[13],"particles":[14],"with":[15,158],"a":[16,57,84,111],"diameter":[17],"2.5":[19],"or":[20,29],"10":[21],"<inline-formula":[22,185],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[23,33,38,101,107,186,227],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[24,187],"<tex-math":[25,188],"notation=\"LaTeX\">${\\mu":[26],"}\\text{m}$":[27],"</tex-math></inline-formula>":[28,190],"less":[30],"(PM":[31],"<sub":[32,37,100,106],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2.5</sub>":[34,102],",":[35,40,103],"PM":[36,99,105],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">10</sub>":[39,108],"respectively)":[41],"from":[42,73,110,178],"digital":[43],"images":[44,135,176],"provides":[45],"new":[46,58],"tools":[47],"for":[48,64,141,197],"monitoring.":[51],"In":[52,75],"this":[53],"study,":[54],"we":[55],"propose":[56],"end-to-end":[59],"convolutional":[60],"neural":[61],"network":[62],"(CNN)":[63],"the":[65,138,142,145,152,169,209,217],"retrieval":[66,79,143,155],"multiple":[68,125],"(RMEPs)":[72],"images.":[74],"contrast":[76],"to":[77,122,214],"other":[78],"models,":[80],"RMEP":[81,150],"can":[82],"retrieve":[83,124],"suite":[85],"including":[90],"visibility,":[93,200],"relative":[94],"humidity":[95],"(RH),":[96],"ambient":[97,203],"temperature,":[98,204],"simultaneously":[109,123],"single":[112],"image.":[113],"Experimental":[114,206],"results":[115,170,207,222],"demonstrate":[116],"that:":[117],"1)":[118],"it":[119],"is":[120],"possible":[121],"parameters;":[128],"2)":[129],"spatial":[130],"spectral":[132],"resolutions":[133],"are":[136,171,192,223],"not":[137],"key":[139],"factors":[140],"on":[144,173,175],"scale;":[147],"3)":[149],"achieves":[151],"best":[153],"overall":[154],"performance":[156],"compared":[157],"several":[159],"classic":[160],"CNNs":[161],"AlexNet,":[164],"ResNet-50,":[165],"DenseNet-121,":[167],"based":[172],"experiments":[174],"extracted":[177],"webcams":[179,213],"located":[180],"in":[181],"different":[182],"continents":[183],"(test":[184],"notation=\"LaTeX\">$R^{2}$":[189],"values":[191],"0.63,":[193],"0.72,":[194],"0.82":[196],"RH,":[201],"respectively).":[205],"show":[208],"potential":[210],"utilizing":[212],"help":[215],"monitor":[216],"environment.":[218],"Code":[219],"more":[221],"available":[224],"at":[225],"<uri":[226],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/cvvsu/RMEP</uri>":[228],".":[229]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}