Abdenasser Djafri and Boualem Haddad, University of Science and Technology, Algeria

This contribution deals with the discrimination between stratiform and convective cells in meteorological radar images. This study is based on a textural analysis of the latter and their classification using a Support Vector Machine (SVM). First, we applied different textural parameters such as energy, entropy, inertia and local homogeneity. Through this experience, we identified the different textural features of both the stratiform and convective cells. Then, we used an SVM to find the best discriminating parameter between the two types of clouds. The main goal of this work is to better apply the Palmer and Marshall Z-R relations specific to each type of precipitation.

Meteorology, clouds, stratiform, convective, texture, SVM.