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Cyclone strength prediction model construction method and cyclone strength prediction method

An intensity prediction and construction method technology, applied in the field of deep learning and image processing, can solve the problem of low accuracy of tropical cyclone intensity analysis methods, and achieve the effect of overcoming distortion and improving accuracy

Active Publication Date: 2022-05-27
HARBIN INSTITUTE OF TECHNOLOGY SHENZHEN (INSTITUTE OF SCIENCE AND TECHNOLOGY INNOVATION HARBIN INSTITUTE OF TECHNOLOGY SHENZHEN)
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Problems solved by technology

[0004] The problem solved by the present invention is that the accuracy of the existing tropical cyclone intensity analysis method based on satellite image data is not high

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  • Cyclone strength prediction model construction method and cyclone strength prediction method
  • Cyclone strength prediction model construction method and cyclone strength prediction method
  • Cyclone strength prediction model construction method and cyclone strength prediction method

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Embodiment Construction

[0037] In order to make the above objects, features and advantages of the present invention more clearly understood, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0038] In an embodiment of the present invention, the cyclone intensity prediction model includes: a spatial feature extraction network, wherein the spatial feature extraction network includes at least one spatial feature extraction block, and the spatial feature extraction block includes a regional surface convolution layer. like figure 1 , the construction method of the cyclone intensity prediction model includes:

[0039] Step S100, obtaining training data from a preset training data set, wherein each of the training data includes a satellite image sequence.

[0040] Obtain geosynchronous orbit meteorological satellite data and tropical cyclone path data to generate training data sets. Among them, the satellite image in the geos...

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Abstract

The invention discloses a construction method of a cyclone strength prediction model and a cyclone strength prediction method.The construction method comprises the steps that training data are obtained, and each piece of training data comprises a satellite image sequence; each satellite image in the satellite image sequence is sequentially input to the regional curved surface convolution layer, the regional curved surface convolution layer outputs a first spatial feature map, in the regional curved surface convolution layer, the satellite images are subjected to traversal convolution, and in each convolution, the first spatial feature map is obtained; determining longitudes and latitudes of other sampling points of the current convolution based on the longitude and latitude of the central sampling point of the current convolution, and taking the longitude and latitude of the central sampling point of the current convolution and the longitudes and latitudes of other sampling points as a sampling range of the current convolution; obtaining a cyclone strength prediction result based on the first spatial feature map; and calculating a loss function value according to a cyclone strength prediction result and a true value, and training based on the loss function value to obtain a cyclone strength prediction model. According to the method, the model with relatively high cyclonic strength prediction accuracy can be constructed.

Description

technical field [0001] The invention relates to the technical fields of deep learning and image processing, in particular to a method for constructing a cyclone intensity prediction model and a cyclone intensity prediction method. Background technique [0002] Tropical cyclones frequently affect coastal areas and seriously threaten the life and property safety of coastal residents. Therefore, accurate prediction of tropical cyclones is of high value. With the development of geostationary satellite technology, meteorological observation of the entire earth region has become a reality. [0003] At present, satellite image data is used to analyze tropical cyclone intensity, but the existing tropical cyclone intensity analysis method based on satellite image data has the problem of low accuracy. SUMMARY OF THE INVENTION [0004] The problem solved by the present invention is that the existing tropical cyclone intensity analysis method based on satellite image data has low acc...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06T7/11G06N3/04G06K9/62G06V10/774G06V10/82G06V10/80
CPCG06Q10/04G06T7/11G06T2207/10032G06N3/045G06F18/253G06F18/214Y02A90/10
Inventor 贾鹏飞李旭涛叶允明
Owner HARBIN INSTITUTE OF TECHNOLOGY SHENZHEN (INSTITUTE OF SCIENCE AND TECHNOLOGY INNOVATION HARBIN INSTITUTE OF TECHNOLOGY SHENZHEN)
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