CLOUD CHARACTERIZATION USING LOCAL TEXTURE INFORMATION

In this paper, local texture information is used to classify clouds in the sky views. The proposed system is designed for practical meteorology using a camera directed to horizon. The goal is to study how local texture measures, namely local binary patterns (LBP) and local edge patterns (LEP), can distinguish different cloud genres. The approach indicated very good performance in a five class classification experiment. The results were promising also in a more difficult case where all the ten cloud genres and clear sky were considered. As known, land-based cloud classification resolves many problems which are present in satellite images.