Hao Zhang, Changhong Chen. Aurora Sequence Classification Based on Deep Learning[J]. Laser & Optoelectronics Progress, 2018, 55(11): 111504
- Laser & Optoelectronics Progress
- Vol. 55, Issue 11, 111504 (2018)
Fig. 1. Framework of our method
Fig. 2. Four categories of sample images at 557.7 nm
Fig. 3. CNN with attribute constraints
Fig. 4. Feature maps of facula attributes learned from our network. (a) Arc image; (b) hot-spot image; (c) arc feature map; (d) hot-spot feature map
Fig. 5. Classification accuracy of aurora images with different ω
Fig. 6. Comparison of classification accuracy on aurora sequences
Fig. 7. Distribution of four kinds of aurora
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Table 1. Comparison of classification accuracy on aurora images
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