Abstract
This paper deals with the identification and elimination of ground echoes in radar images using their textural features. The images collected in Setif (Algeria) by a non Doppler radar, are processed. Two kinds of texture-based techniques have been considered, consisting in calculating either the histograms of their sum and difference or the pattern recognition. Energy and local homogeneity are found to be the textural parameters that clearly separate the precipitation and ground echoes. To get only the rainfall echoes, the resulting template is applied to each of the raw radar images and the filtering is improved by removing the residual clutter with pattern recognition. This method allows as to completely removing the ground clutter with minimal alterations of the rain echoes with reduced calculation time. It has the advantages of effectiveness and simplicity. However, when there is overlap of precipitation echoes with the ground echoes, significant small cells may occur. In this case, these cells are restored by interpolating from neighboring pixels with a regularization function. The application of this optimization algorithm of filtered images can effectively reproduce true structure of clouds. The radar images can be processed in real-time because the computation time needed by these techniques is small.
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