Laser & Optoelectronics Progress, Volume. 61, Issue 24, 2428005(2024)
Typhoon Class Prediction Method Based on Physical Constraints and Cloud Map Generation
[1] Zheng Z S, Hu C Y, Huang D M et al. Research on transfer learning methods for classification of typhoon cloud image[J]. Remote Sensing Technology and Application, 35, 202-210(2020).
[3] Shi X J, Chen Z R, Wang H et al. Convolutional LSTM Network: a machine learning approach for precipitation nowcasting[C], 802-810(2015).
[4] Shi X J, Gao Z H, Lausen L et al. Deep learning for precipitation nowcasting: a benchmark and a new model[C], 5622-5632(2017).
[13] Wu J J, Lu E, Kohli P et al. Learning to see physics via visual de-animation[C], 152-163(2017).
[15] Wang K F, Gou C, Duan Y J et al. Generative adversarial networks: the state of the art and beyond[J]. Acta Automatica Sinica, 43, 321-332(2017).
[18] Ke S T, Chen M H, Zheng Z X et al. Super-resolution reconstruction of optical coherence tomography retinal images by generating adversarial network[J]. Chinese Journal of Lasers, 49, 1507203(2022).
Get Citation
Copy Citation Text
Zongsheng Zheng, Wenhuan Zhou, Zhenghan Wang, Meng Gao, Zhijun Huo, Yuewei Zhang. Typhoon Class Prediction Method Based on Physical Constraints and Cloud Map Generation[J]. Laser & Optoelectronics Progress, 2024, 61(24): 2428005
Category: Remote Sensing and Sensors
Received: Jan. 12, 2024
Accepted: Apr. 26, 2024
Published Online: Dec. 13, 2024
The Author Email: Wenhuan Zhou (1910792427@qq.com)
CSTR:32186.14.LOP240513