Journal of Atmospheric and Environmental Optics, Volume. 18, Issue 5, 434(2023)
Atmospheric visibility prediction method based on ConvLSTM and PredRNN
[1] Wen J P, Lan J, Liu F. Experiment on objective forecast methods for the low visibility of Guangzhou Baiyun Airport[J]. Advances in Meteorological Science and Technology, 11, 176-180(2021).
[3] Su J X, Wang S T, Chen H M et al. Atmospheric visibility forcast based on GA-BP neural network model[J]. Computer Knowledge and Technology, 16, 19-21(2020).
[4] Shi X J, Chen Z R, Wang H et al. Convolutional LSTM network: A machine learning approach for precipitation nowcasting[C], 802-810(2015).
[5] Guo H Y, Chen M X, Han L et al. High resolution nowcasting experiment of severe convection based on deep learning[J]. Acta Meteorologica Sinica, 77, 715-727(2019).
[6] Niu D, Huang J H, Zang Z L et al. Two-stage spatiotemporal context refinement network for precipitation nowcasting[J]. Remote Sensing, 13, 4285(2021).
[7] Xu Z R, Wang Y B, Long M S et al. PredCNN: Predictive learning with cascade convolutions[C], 2940-2947(2018).
[8] Rumelhart D E, Hinton G E, Williams R J. Learning representations by back-propagating errors[J]. Nature, 323, 533-536(1986).
[9] Hochreiter S, Schmidhuber J. Long short-term memory[J]. Neural Computation, 9, 1735-1780(1997).
[10] Jiang L, Wang B S, Hong L et al. Airport visibility prediction based on CNN deep learning model[J]. China Computer & Communication, 32, 43-46(2020).
[11] Deng T. Airport Visibility Prediction Based on LSTM Neural Network[D](2019).
[12] Wang Y B, Long M S, Wang J M et al. PredRNN: Recurrent neural networks for predictive learning using spatiotemporal LSTMs[C], 879-888(2017).
[13] LeCun Y, Bottou L, Bengio Y et al. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 86, 2278-2324(1998).
[14] Oh J, Guo X, Lee H et al. Action-conditional video prediction using deep networks in Atari Games[C], 2863-2871(2015).
[15] Wang Z, Bovik A C, Sheikh H R et al. Image quality assessment: From error visibility to structural similarity[J]. IEEE Transactions on Image Processing: A Publication of the IEEE Signal Processing Society, 13, 600-612(2004).
[16] Zhang R, Isola P, Efros A A et al. The unreasonable effectiveness of deep features as a perceptual metric[C], 586-595(2018).
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Xulun BAO, Yi LI, Yiwen Hu, Yang WANG, Dan NIU, Zengliang ZANG, Xisong CHEN. Atmospheric visibility prediction method based on ConvLSTM and PredRNN[J]. Journal of Atmospheric and Environmental Optics, 2023, 18(5): 434
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Received: Feb. 11, 2022
Accepted: --
Published Online: Dec. 1, 2023
The Author Email: Yi LI (liyiqxxy@163.com)