Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Qiyuan YIN"'
Autor:
Peng Zhou, Peng Wang, Jie Cao, Daiyin Zhu, Qiyuan Yin, Jiming Lv, Ping Chen, Yongshi Jie, Cheng Jiang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 190-205 (2024)
With the rapid development of deep learning, convolutional neural networks have achieved milestones in synthetic aperture radar (SAR) image object detection. However, object detection in SAR images is still a great challenge due to the difficulty in
Externí odkaz:
https://doaj.org/article/d9fa519b0d7e430a908ebe7f1c0e2114
Publikováno v:
暴雨灾害, Vol 42, Iss 1, Pp 47-56 (2023)
Based on the data from an atmospheric electric field (AEF) meter at 500 m from the top of Canton Tower, dual-polarimetric radar in Guangzhou, Guangdong-Hong Kong-Macao lightning location system and ERA5 reanalysis data, this study comparatively inves
Externí odkaz:
https://doaj.org/article/d1b60a4acb8f4daf84e92b37820138ee
Publikováno v:
Atmosphere, Vol 14, Iss 6, p 1002 (2023)
The current methods for lightning risk warnings that are based on atmospheric electric field (AEF) data have a tendency to rely on single features, which results in low robustness and efficiency. Additionally, there is a lack of research on canceling
Externí odkaz:
https://doaj.org/article/4a35c36851974bdf9c20a249cf399475
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 10, Iss 1, Pp 1425-1442 (2019)
Observational data from the low-frequency electric-field detection array (LFEDA) and radar were used to study the precise location of a fatal accident caused by a lightning in Conghua, Guangzhou, China, 2017. Based on a comprehensive analysis, the li
Externí odkaz:
https://doaj.org/article/079cb46a0a504037b3755ef0e3390d09
Akademický článek
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Publikováno v:
Atmosphere; Volume 14; Issue 6; Pages: 1002
The current methods for lightning risk warnings that are based on atmospheric electric field (AEF) data have a tendency to rely on single features, which results in low robustness and efficiency. Additionally, there is a lack of research on canceling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::d65989671e5c4e9d7e77b5be57ecf39a
The current methods for lightning risk warnings that are based on atmospheric electric field (AEF) data have a tendency to rely on single features, which results in low robustness and efficiency. Additionally, there is a lack of research on cancellin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::718b8991f298a6d7b5c491458eb8f0a0
https://doi.org/10.20944/preprints202304.1275.v1
https://doi.org/10.20944/preprints202304.1275.v1
Currently, the number of lightning casualties and casualty rates have significantly reduced in developed countries, but there has been no significant reduction in developing countries. On the one hand, this is due to the high frequency of lightning;
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::babc87fb813d182e7f39563c8b707a3c
https://doi.org/10.20944/preprints202304.0637.v1
https://doi.org/10.20944/preprints202304.0637.v1
Publikováno v:
IEEE Transactions on Electromagnetic Compatibility. 63:1491-1500
The effects of real terrain on the lightning magnetic fields and location accuracy are studied by using two-dimensional finite difference time-domain method. Two estimation methods of wave arrival time (using the time corresponding to the peak field
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10fcd03eb2a52cafac11e21263775c52
https://doi.org/10.1109/temc.2021.3063498
https://doi.org/10.1109/temc.2021.3063498
Publikováno v:
2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbe4a672f9ca764ca425cc2c05bb2c0c
https://doi.org/10.1109/ccpqt56151.2022.00045
https://doi.org/10.1109/ccpqt56151.2022.00045