Identification of Cloud Types for Meteorological Satellite Images: A Character-Based CNN-LSTM Hybrid Caption Model
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48876-4_15
Reference16 articles.
1. Ye, L., Cao, Z., Xiao, Y.: DeepCloud: ground-based cloud image categorization using deep convolutional features. IEEE Trans. Geosci. Remote Sens. 55(10), 5729–5740 (2017)
2. Jin, W., Gong, F., Tang, B., Wang, S.: Cloud types identification for meteorological satellite image using multiple sparse representation classifiers via decision fusion. IEEE Access 7, 8675–8688 (2019)
3. Phung, V.H., Rhee, E.J.: A high-accuracy model average ensemble of convolutional neural networks for classification of cloud image patches on small datasets. Appl. Sci. 9 (2019)
4. Jeppesen, J.H., Jacobsen, R.H., Inceoglu, F., Toftegaard, T.S.: A cloud detection algorithm for satellite imagery based on deep learning. Remote Sens. Environ. 229, 247–259 (2019). ISSN 0034-4257
5. Segal-Rozenhaimer, M., Li, A., Das, K., Chirayath, V.: Cloud detection algorithm for multi-modal satellite imagery using convolutional neural-networks (CNN). Remote Sens. Environ. 237 (2020)
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