{"id":"https://openalex.org/W3123199554","doi":"https://doi.org/10.1109/csit49958.2020.9321881","title":"Lightning Recognition on the Filtered Videos in the Dynamic Clouds","display_name":"Lightning Recognition on the Filtered Videos in the Dynamic Clouds","publication_year":2020,"publication_date":"2020-09-23","ids":{"openalex":"https://openalex.org/W3123199554","doi":"https://doi.org/10.1109/csit49958.2020.9321881","mag":"3123199554"},"language":"en","primary_location":{"id":"doi:10.1109/csit49958.2020.9321881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csit49958.2020.9321881","pdf_url":null,"source":{"id":"https://openalex.org/S4306498651","display_name":"2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT)","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/A5049438204","display_name":"Viktor Shynkarenko","orcid":"https://orcid.org/0000-0001-8738-7225"},"institutions":[{"id":"https://openalex.org/I2802037141","display_name":"Dnipro National University of Railway Transport named after Academician V. Lazaryan","ror":"https://ror.org/04b5zca04","country_code":"UA","type":"education","lineage":["https://openalex.org/I2802037141"]}],"countries":["UA"],"is_corresponding":true,"raw_author_name":"Viktor Shynkarenko","raw_affiliation_strings":["Department of Computer Information Technology, Dnipro National University of Railway Transport named after academician V. Lazaryan, Dnipro, Ukraine"],"affiliations":[{"raw_affiliation_string":"Department of Computer Information Technology, Dnipro National University of Railway Transport named after academician V. Lazaryan, Dnipro, Ukraine","institution_ids":["https://openalex.org/I2802037141"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034420842","display_name":"Iryna Nikitina","orcid":"https://orcid.org/0000-0002-8288-3323"},"institutions":[{"id":"https://openalex.org/I2802037141","display_name":"Dnipro National University of Railway Transport named after Academician V. Lazaryan","ror":"https://ror.org/04b5zca04","country_code":"UA","type":"education","lineage":["https://openalex.org/I2802037141"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Iryna Nikitina","raw_affiliation_strings":["Department of Computer Information Technology, Dnipro National University of Railway Transport named after academician V. Lazaryan, Dnipro, Ukraine"],"affiliations":[{"raw_affiliation_string":"Department of Computer Information Technology, Dnipro National University of Railway Transport named after academician V. Lazaryan, Dnipro, Ukraine","institution_ids":["https://openalex.org/I2802037141"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049438204"],"corresponding_institution_ids":["https://openalex.org/I2802037141"],"apc_list":null,"apc_paid":null,"fwci":0.5596,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63378685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"21","issue":null,"first_page":"411","last_page":"414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9740999937057495,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9589999914169312,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/lightning","display_name":"Lightning (connector)","score":0.8545422554016113},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6734987497329712},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6085922122001648},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5206348299980164},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4759095311164856},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4375871419906616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4331130385398865},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34737926721572876},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16924771666526794},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1384885013103485},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.09079018235206604}],"concepts":[{"id":"https://openalex.org/C69398868","wikidata":"https://www.wikidata.org/wiki/Q129052","display_name":"Lightning (connector)","level":3,"score":0.8545422554016113},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6734987497329712},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6085922122001648},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5206348299980164},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4759095311164856},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4375871419906616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4331130385398865},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34737926721572876},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16924771666526794},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1384885013103485},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.09079018235206604},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/csit49958.2020.9321881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csit49958.2020.9321881","pdf_url":null,"source":{"id":"https://openalex.org/S4306498651","display_name":"2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT)","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":20,"referenced_works":["https://openalex.org/W2113827159","https://openalex.org/W2593035626","https://openalex.org/W2788309473","https://openalex.org/W2794173130","https://openalex.org/W2808907540","https://openalex.org/W2907557468","https://openalex.org/W2966902600","https://openalex.org/W2982044501","https://openalex.org/W2986518739","https://openalex.org/W2986816104","https://openalex.org/W2994998229","https://openalex.org/W2999452573","https://openalex.org/W3000170524","https://openalex.org/W3009083470","https://openalex.org/W3011495287","https://openalex.org/W3015819742","https://openalex.org/W3034847898","https://openalex.org/W3098834274","https://openalex.org/W3106328160","https://openalex.org/W6774356939"],"related_works":["https://openalex.org/W4401541540","https://openalex.org/W2097527874","https://openalex.org/W4395014167","https://openalex.org/W4244440027","https://openalex.org/W2010879574","https://openalex.org/W2336985578","https://openalex.org/W2065825466","https://openalex.org/W2121524756","https://openalex.org/W2159978631","https://openalex.org/W1983191659"],"abstract_inverted_index":{"Color":[0],"models'":[1],"opportunities":[2],"were":[3,45,96],"explored":[4],"for":[5,38,47,93],"lightning":[6,39,68,87,94],"flashes":[7],"extraction":[8,95],"in":[9,20],"significant":[10],"dynamic":[11],"cloudiness.":[12],"It":[13],"was":[14,65],"shown":[15],"that":[16],"the":[17,51,55,74,80,83,100],"greatest":[18],"efficiently":[19],"recognition":[21],"is":[22,71],"provided":[23],"by":[24],"combining":[25],"Lab":[26],"and":[27,42,82,91],"LCH":[28],"model-based":[29],"features.":[30],"The":[31,67,89],"ranges":[32],"of":[33,54,62,79],"color":[34],"channels":[35],"are":[36],"defined":[37],"aureoles.":[40,88],"Linear":[41],"quadratic":[43],"filters":[44],"developed":[46,97],"aureoles":[48],"detection":[49,69],"at":[50],"series":[52],"frames":[53],"video":[56,81],"from":[57],"meteorological":[58],"satellites.":[59],"An":[60],"analysis":[61],"their":[63],"effectiveness":[64],"done.":[66],"filter":[70],"based":[72,98],"on":[73,99],"processing":[75],"a":[76],"current":[77],"frame":[78],"filtered":[84],"one":[85],"containing":[86],"method":[90],"software":[92],"image":[101],"filtering.":[102]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
