Modelo de Detección y Eliminación de Ecos de Tierra
- Rafael Orlando Cubillos Sánchez ,
- Ernesto Gómez Vargas ,
- Oscar Danilo Montoya Giraldo
Abstract
The task of identifying climatic phenomena through radar measurements is significantly hindered by the presence of interferences originating from the terrestrial environment. The existence of objects or obstacles causing deviations in the radar beam results in the generation of high-intensity echoes that compromise the integrity of the measurements and distort the detection process.
In the context of this study, the attainment of a model is proposed, conceived with the purpose of discerning and categorizing cells contaminated by ground echoes, subsequently proceeding to replace the data associated with these cells with reliable and accurate information. The approach to unwanted echo detection is realized through an algorithm based on the analysis of various polarimetric variables, which enable the effective discrimination of signals relevant to genuine climatic phenomena from those tainted by terrestrial disturbances, thus allowing for a precise identification and assessment of the meteorological events in question. The task of identifying ground echoes can serve as an effective tool to enhance the detection of meteorological phenomena, providing significant benefits to a country like ours, where periodic weather events can cause both economic and social damages.
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