An automatic identifying method of the squall line based on Hough transform
Author:
Funder
Young Scientists Fund
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-10689-3.pdf
Reference34 articles.
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2. Bala K, Paul S, Ghosh M (2019) Thunderstorm prediction using soft computing and wavelet. In: Proceeding of the Second International Conference on Microelectronics, Computing & Communication Systems (MCCS 2017). Springer, Singapore. https://doi.org/10.1007/978-981-10-8234-4_11
3. Bluestein HB, Marx GT, Jain MH (1987) Formation of mesoscale lines of precipitation: nonsevere squall lines in Oklahoma during the spring. Mon Weather Rev 115(11):2719–2727
4. Bryan GH, Knievel JC, Parker MD (2006) A multimodel assessment of RKW theory’s relevance to squall-line characteristics. Mon Weather Rev 134(10):2772–2792
5. Congedo F, Prodi F, Pasqualucci F, Trivellone G (2017) Polarimetric Doppler radar analysis of squall line systems crossing Salento peninsula. Meteorol Appl 24(3):338–348
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