Modelo de detección y eliminación de ecos de tierra en imágenes de radares meteorológicos

Abstract

A model that allows the detection and elimination of ground clutter is very important to reduce the errors in the measurements made by a weather radar. Echo detection is done through an algorithm that, based on the different polarimetric variables, can differentiate the signals that correspond to climatic phenomena from those that are not. The elimination of echoes causes the generation of empty regions in the radar image where no information is available; the corresponding meteorological data must be inserted in these areas. The validation of the model is carried out by comparing the corrected data with field measurements.