A method of radar echo extrapolation based on dilated convolution and attention convolution.

ABSTRACT: The neural network method can obtain a higher precision of radar echo extrapolation than the traditional method. However, its application in radar echo extrapolation is still in the initial stage of exploration, and there is still much room for improvement in the extrapolation accuracy. To improve the utilization of radar echo information and extrapolation accuracy, this paper proposes a radar echo extrapolation model (ADC_Net) based on dilated convolution and attention convolution. In this model, dilated convolution, instead of the pooling operation, is used to downsample the feature matrix obtained after the standard convolution operation. In doing so, the internal data structure of the feature matrix is retained, and the spatial features of radar echo data from different scales are extr

SUBMITTER: Shen X 

PROVIDER: S-EPMC9217922 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature