A multi-channel temporally adaptable system for continuous cloud classification from satellite imagery

A new multi-spectral scheme for cloud classification from satellite imagery is proposed which involves two temporally adaptable probabilistic neural networks, one for the visible and one for the infrared channels. This system offers the ability to perform continuous updating during the whole day. The results using five classes are provided which show the effectiveness of the proposed scheme.