Method and equipment for determining sequence of radar echo prediction frames

Abstract

The invention discloses a method and equipment for determining a radar echo prediction frame sequence. The method comprises steps of obtaining a radar echo original frame sequence containing continuous N frames, superposing according to the channel direction to serve as a first input value; superposing the frame number of the radar echo original frame sequence and the frame number of the current radar echo prediction frame according to the channel direction to serve as a third input value; superposing the current radar echo prediction frame and (N-1) continuous radar echo prediction frames before the current radar echo prediction frame according to the channel direction to obtain a second input value; and inputting the second input value and the third input value into a trained neural network to obtain a next radar echo prediction frame, and finally circularly executing the above operations to iteratively predict the radar echo prediction frame till a radar echo prediction frame sequence is obtained. A radar echo image prediction frame sequence with high accuracy in a preset time period can be determined. The method can be used for short-time near weather forecast, and a good practical effect is brought.

Description

technical field [0001] The present application relates to the technical field of computer image processing, and in particular to a technology for determining a radar echo prediction frame sequence within a preset time period. Background technique [0002] Short-term nowcasting is very important for activities or scenarios related to industrial and agricultural production and life, such as airport operation, urban traffic scheduling, etc. Short-term nowcasting usually analyzes the radar echo forecast images within the next 2 hours to predict the weather conditions in a short period of time in the future. [0003] In the existing technology, the traditional method is to determine the radar echo prediction image in the next 2 hours through cross-correlation method tracking, optical flow method extrapolation, etc., and predict the short-term nowcast after analysis. However, due to the complexity and variety of weather Variation, the accuracy of short-term nowcasting forecasted ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of this application is to provide a method and device for determining the radar echo prediction frame sequence to solve the technical problem of low accuracy of radar echo prediction in the prior art

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