Clustering of Ultraviolet Auroral Oval Images Based on Deep Representation Learning
Author:
Publisher
National Space Science Center, Chinese Academy of Sciences
Subject
General Medicine
Reference22 articles.
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2. BOUDOURIDIS A, ZESTA E, LYONS R, et al. Effect of solar wind pressure pulses on the size and strength of the auroral oval[J]. Journal of Geophysical Research: Space Physics, 2003, 108(A4): 8012
3. YANG Q J, WANG Y Y, REN J. Auroral image classification with very limited labeled data using few-shot learning[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 6506805
4. KVAMMEN A, WICKSTRØM K, MCKAY D, et al. Auroral image classification with deep neural networks[J]. Journal of Geophysical Research: Space Physics, 2020, 125(10): e2020JA027808
5. YANG Q J, ZHOU P H. Representation and classification of auroral images based on convolutional neural networks[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 523-534
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