基于深度学习的地基云分类技术研究进展

Research progress of deep learning⁃based cloud classification

深度学习的自动学习特征和精确的预测能力使其在地基云分类上获得成功,更复杂更优良的深度学习网络在地基云分类领域得到研究和应用.近两年来一些大规模地基云分类数据集被公布,但还没有文献对这些大数据集进行完整地介绍和使用.本文对深度学习地基云分类领域最新的研究进展进行了详细的概括,并介绍了最新发布的国际标准大规模数据集,最后对几种经典的卷积神经网络深度学习模型在地基云分类上的性能进行了评估,验证了卷积神经网络在地基云分类领域的适用性.

With the rapid development of deep learning,its automatic learning characteristics and accurate predic⁃tion ability make it successful in ground⁃based cloud classification.More complex and better deep learning networks are applied and studied in the field of ground⁃based cloud classification.In the past two years,some large⁃scale ground⁃based cloud classification data sets have been published,yet there is no literature on fully introduction and use of these large data sets.Here,we list the lately issued massive data sets,then introduce the cloud classification technology,especially detail the latest research progress in deep learning⁃based cloud classification,and finally assess and compare several classic convolution neural network learning models on their ground⁃based cloud classifi⁃cation performance.The convolution neural network is verified to be effective in the field of ground⁃based cloud clas⁃sification.