The Rainfall Detection and Color Classification of Radar Images Using Machine Learning

The product of weather radar image is the colors indicating the rainfall intensities under the radar radius. The weather radar images can be analyzed by estimating the rain rate from the colors displayed on the radar images. In this paper, the K-Means Clustering algorithm and the image processing technique are applied for rainfall detection and color classification on radar images. In addition, the average rainfall amount in interest areas is estimated by using the relationship between radar reflectivity value and rain rate.