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- W4313367672 abstract "In this study, a lightning extraction algorithm based on quartile filtering and deep learning (DL) was developed. In lightning photographs, many luminous objects (LOs) are found with lightning leaders. To analyze the lightning leaders, they must be extracted. In the algorithm, outliers derived from the quartile filtering were defined as LOs. The obtained LOs contain lightning leaders and others, such as artificial light sources (ALSs) and non-luminous objects (NLOs). This misextraction was improved using the DL. From the extraction results, it was found that the algorithm successfully extracts lightning leads. The lightning extraction algorithm can be used as the preprocess for lightning photometry." @default.
- W4313367672 created "2023-01-06" @default.
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- W4313367672 date "2023-01-01" @default.
- W4313367672 modified "2023-09-26" @default.
- W4313367672 title "Development of lightning-leader extraction algorithm for digital photographs applying quartile and deep learning" @default.
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- W4313367672 doi "https://doi.org/10.1016/j.jastp.2022.106001" @default.
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