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Satellite cloud picture prediction method and system

A satellite cloud image and prediction method technology, applied in the field of cloud image forecasting, can solve the problems of short forecast technology time and unintuitive forecast results, and achieve the effect of overcoming the short time.

Active Publication Date: 2021-11-30
BEIJING HUAYUN SHINETEK TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The purpose of the present invention is to provide a method and system for forecasting satellite cloud images, which can overcome the shortcomings of existing forecasting techniques such as short time and unintuitive forecasting results.

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  • Satellite cloud picture prediction method and system
  • Satellite cloud picture prediction method and system

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Embodiment Construction

[0053] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0054] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0055] This embodiment provides a method for predicting satellite cloud images, such as figure 1 As shown, the method includes:

[0056] Step 101: Obtain a collection of grayscale images. The set of grayscale im...

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Abstract

The invention relates to a satellite cloud picture prediction method and system. The method comprises the following steps: acquiring a gray-scale graph set, and calculating optical flow vectors between gray-scale graphs at two adjacent moments in the gray-scale graph set to form a first optical flow vector set, inputting the first optical flow vector set into a U-shaped convolutional neural network model to obtain optical flow vectors at a plurality of to-be-predicted moments in a to-be-predicted time period to form a second optical flow vector set, and processing the gray-scale graph at the current moment according to the second optical flow vector set and a recursive nearest neighbor principle to obtain a plurality of gray-scale graphs at the moment to be predicted. The method and the system can overcome the defects that an existing forecasting technology is short in time, and the forecasting result is not visual.

Description

technical field [0001] The invention relates to the field of cloud image forecasting, in particular to a satellite cloud image forecasting method and system. Background technique [0002] Cloud image forecasting plays an important role in assisting weather forecasting, disaster warning, and research on weather change factors. Existing nowcasting research mainly focuses on radar extrapolation and convective extrapolation, but rarely extrapolates directly on grayscale images. Incomplete forecast information and low timeliness of short-term forecast. Contents of the invention [0003] The object of the present invention is to provide a method and system for predicting satellite cloud images, which can overcome the shortcomings of existing forecasting techniques such as short time and unintuitive forecasting results. [0004] To achieve the above object, the present invention provides the following scheme: [0005] A method for predicting satellite cloud images, comprising: ...

Claims

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Application Information

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IPC IPC(8): G06T7/215G06T7/11G06T7/90G06N3/04
CPCG06T7/215G06T7/11G06T7/90G06T2207/20132G06N3/045
Inventor 鄢俊洁郭雪星冉茂农韩旻
Owner BEIJING HUAYUN SHINETEK TECH CO LTD