Temporal updating scheme for probabilistic neural network with application to satellite cloud classification-further results
A novel temporal updating approach for probabilistic neural network (PNN) classifiers was developed  to account for temporal changes of spectral and temperature features of clouds in the visible and infrared (IR) GOES 8 (Geostationary Operational Environmental Satellite) imagery data. In this brief paper, a new method referred to as moving singular value decomposition (MSVD) is introduced to improve the classification rate of the boundary blocks or blocks containing cloud types with nonuniform texture. The MSVD method is then incorporated into the temporal updating scheme and its effectiveness ...
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