Author:
Liu Shuang,Li Mei,Zhang Zhong,Cao Xiaozhong
Reference18 articles.
1. Xiao Y, Cao Z, Zhuo W, Ye L, Zhu L (2016) mCLOUD: a multiview visual feature extraction mechanism for ground-based cloud image categorization. J Atmos Ocean Technol 33:789–801
2. Luo Q, Meng Y, Liu L, Zhao X, Zhou Z (2018) Cloud classification of ground-based infrared images combining manifold and texture features. Atmos Meas Tech 11:5351–5361
3. Liu S, Zhang Z, Mei X (2015) Ground-based cloud classification using weighted local binary patterns. J Appl Remote Sens 9:095062
4. Wang Y, Wang C, Shi C, Xiao B (2019) A selection criterion for the optimal resolution of ground-based remote sensing cloud images for cloud classification. IEEE Trans Geosci Remote Sens 57:1358–1367
5. Ren S, He K, Girshick R, Sun J (2015) Faster R-CNN: towards real-time object detection with region proposal networks. Adv Neural Inf Process Syst 91–99