{"id":"https://openalex.org/W3173996724","doi":"https://doi.org/10.1109/cbmi50038.2021.9461902","title":"Mining atmospheric data","display_name":"Mining atmospheric data","publication_year":2021,"publication_date":"2021-06-24","ids":{"openalex":"https://openalex.org/W3173996724","doi":"https://doi.org/10.1109/cbmi50038.2021.9461902","mag":"3173996724"},"language":"en","primary_location":{"id":"doi:10.1109/cbmi50038.2021.9461902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi50038.2021.9461902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Content-Based Multimedia Indexing (CBMI)","raw_type":"proceedings-article"},"type":"preprint","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/A5105664927","display_name":"Chaabane Dj\u00e9raba","orcid":"https://orcid.org/0000-0003-4579-9592"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2279609970","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938","country_code":"FR","type":"education","lineage":["https://openalex.org/I2279609970"]},{"id":"https://openalex.org/I4210115519","display_name":"Centre de Recherche en Informatique","ror":"https://ror.org/020cdve92","country_code":"FR","type":"facility","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I4210091621","https://openalex.org/I4210115519","https://openalex.org/I70768539"]},{"id":"https://openalex.org/I4387153055","display_name":"Institut de Recherche sur les Composants logiciels et mat\u00e9riels pour l'Information et la Communication Avanc\u00e9e","ror":"https://ror.org/010nk4c68","country_code":null,"type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I2279609970","https://openalex.org/I4387153055"]},{"id":"https://openalex.org/I7454413","display_name":"\u00c9cole Centrale de Lille","ror":"https://ror.org/01x441g73","country_code":"FR","type":"education","lineage":["https://openalex.org/I7454413"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Chaabane Djeraba","raw_affiliation_strings":["IRCICA, Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, Villeneuve d'Ascq, France","CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (Universit\u00e9 de Lille - Campus scientifique - B\u00e2timent ESPRIT - Avenue Henri Poincar\u00e9 - 59655 Villeneuve d\u2019Ascq - France)","IRCICA - Institut de Recherche sur les Composants logiciels et mat\u00e9riels pour l'Information et la Communication Avanc\u00e9 - UAR 3380 (- CAMPUS Haute-Borne CNRS IRCICA-IRI-RMN\r\n- Parc Scientifique de la Haute Borne\r\n- 50 Avenue Halley\r\n- BP 70478\r\n- 59658 Villeneuve d\u2019Ascq\r\n - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRCICA, Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, Villeneuve d'Ascq, France","institution_ids":["https://openalex.org/I7454413","https://openalex.org/I2279609970","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (Universit\u00e9 de Lille - Campus scientifique - B\u00e2timent ESPRIT - Avenue Henri Poincar\u00e9 - 59655 Villeneuve d\u2019Ascq - France)","institution_ids":["https://openalex.org/I4210115519","https://openalex.org/I2279609970"]},{"raw_affiliation_string":"IRCICA - Institut de Recherche sur les Composants logiciels et mat\u00e9riels pour l'Information et la Communication Avanc\u00e9 - UAR 3380 (- CAMPUS Haute-Borne CNRS IRCICA-IRI-RMN\r\n- Parc Scientifique de la Haute Borne\r\n- 50 Avenue Halley\r\n- BP 70478\r\n- 59658 Villeneuve d\u2019Ascq\r\n - France)","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4387153055"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053786098","display_name":"J. Ri\u00e9di","orcid":"https://orcid.org/0000-0002-0374-7316"},"institutions":[{"id":"https://openalex.org/I2279609970","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938","country_code":"FR","type":"education","lineage":["https://openalex.org/I2279609970"]},{"id":"https://openalex.org/I4210123210","display_name":"Laboratoire d'Optique Atmosph\u00e9rique","ror":"https://ror.org/02mdnkg28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2279609970","https://openalex.org/I2799535048","https://openalex.org/I4210123210","https://openalex.org/I4210148025"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jerome Riedi","raw_affiliation_strings":["ICARE, LOA, University of Lille, Villeneuve d\u2019Ascq, France","LOA - Laboratoire d\u2019Optique Atmosph\u00e9rique - UMR 8518 (LOA UMR 8518 - \r\nUniversit\u00e9 de Lille Sciences et Technologies - D\u00e9partement de Physique - Batiment P5 - \r\n59655 Villeneuve d'Ascq Cedex  - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICARE, LOA, University of Lille, Villeneuve d\u2019Ascq, France","institution_ids":["https://openalex.org/I2279609970"]},{"raw_affiliation_string":"LOA - Laboratoire d\u2019Optique Atmosph\u00e9rique - UMR 8518 (LOA UMR 8518 - \r\nUniversit\u00e9 de Lille Sciences et Technologies - D\u00e9partement de Physique - Batiment P5 - \r\n59655 Villeneuve d'Ascq Cedex  - France)","institution_ids":["https://openalex.org/I4210123210","https://openalex.org/I2279609970"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0916,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3948991,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"99","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9995999932289124,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9995999932289124,"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":0.9980999827384949,"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/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.7676368951797485},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.699190616607666},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6305251717567444},{"id":"https://openalex.org/keywords/air-pollution","display_name":"Air pollution","score":0.5371101498603821},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5270678997039795},{"id":"https://openalex.org/keywords/interdependence","display_name":"Interdependence","score":0.5039419531822205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49962568283081055},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4806012809276581},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46253350377082825},{"id":"https://openalex.org/keywords/atmospheric-model","display_name":"Atmospheric model","score":0.42827239632606506},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37225067615509033},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.318412721157074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16224071383476257},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10298547148704529}],"concepts":[{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.7676368951797485},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.699190616607666},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6305251717567444},{"id":"https://openalex.org/C559116025","wikidata":"https://www.wikidata.org/wiki/Q131123","display_name":"Air pollution","level":2,"score":0.5371101498603821},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5270678997039795},{"id":"https://openalex.org/C185874996","wikidata":"https://www.wikidata.org/wiki/Q269699","display_name":"Interdependence","level":2,"score":0.5039419531822205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49962568283081055},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4806012809276581},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46253350377082825},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.42827239632606506},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37225067615509033},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.318412721157074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16224071383476257},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10298547148704529},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cbmi50038.2021.9461902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi50038.2021.9461902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Content-Based Multimedia Indexing (CBMI)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03425660v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03425660","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2021 International Conference on Content-Based Multimedia Indexing (CBMI), Jun 2021, Lille, France. pp.1-5, &#x27E8;10.1109/CBMI50038.2021.9461902&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320326227","display_name":"R\u00e9gion Hauts-de-France","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1606626938","https://openalex.org/W2108598243","https://openalex.org/W2792332881","https://openalex.org/W2909214391","https://openalex.org/W2909235141","https://openalex.org/W2988698702","https://openalex.org/W3007444020","https://openalex.org/W6846059944"],"related_works":["https://openalex.org/W1968270095","https://openalex.org/W4296478327","https://openalex.org/W1960072520","https://openalex.org/W2042397106","https://openalex.org/W4361730764","https://openalex.org/W1965029248","https://openalex.org/W2220129715","https://openalex.org/W2387596242","https://openalex.org/W2333625343","https://openalex.org/W2074627651"],"abstract_inverted_index":{"This":[0],"paper":[1],"overviews":[2],"two":[3],"interdependent":[4],"issues":[5],"important":[6],"for":[7,48,125,143],"mining":[8,137],"remote":[9,36],"sensing":[10,37],"data":[11,50,57,138],"(e.g.":[12],"images)":[13],"obtained":[14],"from":[15],"atmospheric":[16,49,88],"monitoring":[17,157],"missions.":[18],"The":[19,39,68,114,134],"first":[20],"issue":[21,41],"relates":[22],"to":[23,43,108,160],"building":[24],"new":[25],"public":[26,111],"datasets":[27],"and":[28,58,75,93,100,127,132,145,153,164],"benchmarks,":[29],"which":[30],"are":[31],"hot":[32],"priority":[33],"of":[34,56,97,104,120,136,170],"the":[35,82,118,162],"community.":[38],"second":[40],"is":[42,71,79,117],"investigate":[44],"deep":[45],"learning":[46],"methodologies":[47],"classification":[51],"based":[52],"on":[53],"vast":[54],"amount":[55],"without":[59],"ground":[60,66],"truth":[61],"or":[62],"with":[63,86],"very":[64],"limited":[65],"truth.":[67],"targeted":[69],"application":[70,116],"air":[72,98,105,129,155],"quality":[73,78,99,130,156],"assessment":[74,131],"prediction.":[76],"Air":[77],"defined":[80],"as":[81,91],"pollution":[83,106],"level":[84],"linked":[85],"several":[87],"constituent":[89],"such":[90],"gases":[92],"aerosols.":[94],"Low":[95],"levels":[96,103],"thus":[101],"high":[102],"led":[107],"increase":[109],"in":[110,173],"health":[112],"issues.":[113],"target":[115],"development":[119],"a":[121,150],"fast":[122,151],"prediction":[123,152],"model":[124],"local":[126,163],"regional":[128,165],"tracking.":[133],"results":[135],"will":[139],"have":[140],"significant":[141],"implication":[142],"citizen":[144],"decision":[146],"makers":[147],"by":[148],"providing":[149],"reliable":[154],"system":[158],"able":[159],"cover":[161],"scale":[166],"through":[167],"intelligent":[168],"extrapolation":[169],"sparse":[171],"ground-based":[172],"situ":[174],"measurement":[175],"networks.":[176]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
