Typhoon intensity determination method and system based on point cloud voxels, equipment and medium

Abstract

The invention relates to the technical field of deep learning, in particular to a typhoon intensity determination method and system based on point cloud voxels, equipment and a medium. The method comprises the following steps: carrying out deep convolution and fusion on point cloud voxel features through different perception domains, and acquiring fusion features; performing channel shuffling and expansion on the fusion feature to obtain a first point cloud feature; performing feature extraction on the first point cloud feature by using a channel attention mechanism to obtain a second point cloud feature; inputting the second point cloud feature into a three-dimensional sparse convolutional layer for sparsification to obtain a third point cloud feature; inputting the third point cloud feature into a three-dimensional compression convolution layer for feature compression to obtain a fourth point cloud feature; and acquiring typhoon intensity through prediction according to the fourth point cloud feature. According to the invention, the problems that an existing typhoon intensity determining method has certain human subjectivity and uncertainty and cannot comprehensively and objectively predict the typhoon intensity are solved, and the method is high in generalization ability, low in calculation complexity and high in accuracy.

Description

technical field [0001] The present invention relates to the field of deep learning technology, in particular to a method, system, device and medium for determining the intensity of a typhoon based on point cloud voxels. Background technique [0002] A typhoon is a weather system with a cyclonic vortex structure that is formed on the tropical or subtropical ocean surface. Its destructive power is manifested in strong winds, heavy rainfall, and storm surges, which are the direct factors that cause casualties and property losses in coastal areas. It is an important part of typhoon forecasting. Scientific, accurate, and timely determination of typhoon intensity is an important advance in the development of typhoon prevention and disaster reduction work; since the 1970s, Dvorak (Dvorak) analysis method has been gradually introduced into the analysis of typhoon intensity determination Among them, it uses the cloud structure characteristics of satellite cloud images as the object, ...

AI Technical Summary

Problems solved by technology

[0006] The present invention provides a method, system, equipment and medium for determining the intensity of a typhoon based on point cloud voxels. Objective prediction of typhoon intensity

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