Research on clouds has an enormous influence on sky sciences and related applications,
and cloud classification plays an essential role in it. Much research has been conducted …

Accurate classification of cloud images is a challenging task. Almost all the existing methods
rely on hand-crafted feature extraction. Their limitation is low discriminative power. In the …

Ground-based cloud classification is crucial for meteorological research and has received
great concern in recent years. However, it is very challenging due to the extreme …

The accurate ground-based cloud classification is a challenging task and still under
development. The most current methods are limited to only taking the cloud visual features …

In recent times, deep neural networks have drawn much attention in ground-based cloud
recognition. Yet such kind of approaches simply center upon learning global features from …

Feature selection and extraction is the first step in implementing pattern classification. The
same is true for ground-based cloud classification. Histogram features based on local binary …

Recently, multimodal cloud samples are utilized to learn completed feature representations
for cloud classification. However, the existing methods neglect the related information from …

Cloud image segmentation plays an important role in ground-based cloud observation.
Recently, most existing methods for ground-based cloud image segmentation learn feature …

Recently, the multimodal information is taken into consideration for ground-based cloud
classification in weather station networks, but intrinsic correlations between the multimodal …

Clouds have an enormous influence on the hydrological cycle, Earth's radiation budget, and
climate changes. Accurate automatic recognition of cloud shape based on ground-based …