3DAEF-Based Thunderstorm Multipath Imaging System

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dc.authoridzhang, yingying/0000-0001-7479-3398
dc.authoridLiu, Yining/0000-0002-2218-2349
dc.authoridHuang, Ting/0000-0001-7821-5325
dc.authoridYin, Wenjie/0000-0002-8115-1980
dc.authoridyang, xu/0000-0002-6877-5641
dc.authorwosidyang, xiao/KHT-9445-2024
dc.authorwosidyan, xu/KCY-8174-2024
dc.authorwosidWang, Fei/KEH-6292-2024
dc.authorwosidzhao, wenqing/KEZ-9488-2024
dc.authorwosidzhang, yingying/KGM-8162-2024
dc.authorwosidLiu, Yining/KHC-6217-2024
dc.authorwosidzhang, lu/KGL-6144-2024
dc.contributor.authorYang, Xu
dc.contributor.authorXing, Hongyan
dc.contributor.authorJi, Xinyuan
dc.contributor.authorHuang, Ting
dc.contributor.authorZhou, Chen
dc.contributor.authorYin, Wenjie
dc.contributor.authorSu, Xin
dc.date.accessioned2024-05-19T14:42:39Z
dc.date.available2024-05-19T14:42:39Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractThis article presents a multipath imaging system for thunderstorm developments, wherein data are three-dimensional atmospheric electric-field signals (3DAEFSs) collected with a self-made 3DAEF apparatus (3DAEFA). In this way, thunderstorms are presented in a staged and visual form. To start with, entropy-based intervals are constructed from historical AEF data, to classify denoised AEFS components, according to the entropy value of each component. Furthermore, AEFS time sequences are reconstructed with a reference to whether components within the same entropy-based interval are sequential or not, providing time information for the subsequent clustering-based spatial denoising to thunderstorm point charge coordinates. Finally, predicted value (PV) intervals, which are used to divide and then reconstruct AEFS time periods, are acquired to realize the point charge multipath imaging corresponding to periods, based on the established stacked autoencoder and the extreme gradient boosting (SAE-XGBoost) model. Empirical results demonstrate that the multipath better visualizes the whole process of thunderstorm activities. Comparisons with radar charts further confirm that the proposed system effectively images charge multipaths and provides a valid reference for visual thunderstorm monitoring.en_US
dc.description.sponsorshipNational Key Research and Development Program of China [2021YFE0105500]; National Natural Science Foundation of China [62171228]; Program of China Scholarship Council [202209040027, 202206690054]en_US
dc.description.sponsorshipThis work was supported in part by the National Key Research and Development Program of China under Grant 2021YFE0105500, in part by the National Natural Science Foundation of China under Grant 62171228, and in part by the Program of China Scholarship Council under Grant 202209040027 and Grant 202206690054. The associate editor coordinating the review of this article and approving it for publication was Prof. Kazuaki Sawada.en_US
dc.identifier.doi10.1109/JSEN.2023.3266718
dc.identifier.endpage11924en_US
dc.identifier.issn1530-437X
dc.identifier.issn1558-1748
dc.identifier.issue11en_US
dc.identifier.scopus2-s2.0-85153795732en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage11907en_US
dc.identifier.urihttps://doi.org10.1109/JSEN.2023.3266718
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5266
dc.identifier.volume23en_US
dc.identifier.wosWOS:001003468000077en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIeee Sensors Journalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectImagingen_US
dc.subjectSensorsen_US
dc.subjectElectrodesen_US
dc.subjectImage Reconstructionen_US
dc.subjectNoise Reductionen_US
dc.subjectLocation Awarenessen_US
dc.subjectTime-Domain Analysisen_US
dc.subjectAtmospheric Electric Field (Aef)en_US
dc.subjectDenoisingen_US
dc.subjectImagingen_US
dc.subjectThunderstormen_US
dc.title3DAEF-Based Thunderstorm Multipath Imaging Systemen_US
dc.typeArticleen_US

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