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Intelligent image weather phenomenon recognition system and method

An intelligent image and image recognition technology, applied in the field of meteorology, can solve the problems of reduced recognition accuracy and heavy workload, and achieve high recognition efficiency, high recognition accuracy, and improved recognition accuracy

Pending Publication Date: 2019-12-03
河北冀云气象技术服务有限责任公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The existing technology analyzes weather images, which are often analyzed manually, but this method often has a large workload, and the recognition accuracy will also be reduced due to the inconsistent standards of manual work.

Method used

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  • Intelligent image weather phenomenon recognition system and method
  • Intelligent image weather phenomenon recognition system and method
  • Intelligent image weather phenomenon recognition system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] An intelligent image recognition weather phenomenon system, said system comprising:

[0043] The image preprocessing unit is used to sequentially perform image enhancement, image denoising, image segmentation and image binarization processing on the collected meteorological original image to obtain a preprocessed image;

[0044] The image category classification unit is used to classify the preprocessed image according to the weather category of the set weather, and add a category label to the preprocessed image; the category label includes at least the following categories: wind, cloud, fog, rain, flash , snow, frost, thunder, hail and haze;

[0045] The image recognition unit is used for calling the recognition method corresponding to the label to perform image recognition on the preprocessed image after adding the label to obtain the weather recognition result.

[0046] Specifically, the early weather analysis was performed manually, and this analysis is often refer...

Embodiment 2

[0048] On the basis of the previous embodiment, the picture preprocessing unit includes: an image enhancement unit, which is used to perform image enhancement processing on the collected weather original pictures; an image denoising unit, which is used to perform image enhancement processing on the weather original pictures The image is subjected to image denoising processing; the image segmentation unit is used to perform image segmentation processing on the meteorological original picture after image denoising processing; the image binarization unit is used to perform image binary processing on the meteorological original picture after image segmentation processing processing to obtain a preprocessed image.

Embodiment 3

[0050] On the basis of the previous embodiment, the image classification unit includes: a pre-processed image recognition unit and a label adding unit; the pre-processed image recognition unit is used to perform image recognition on the pre-processed image and generate a pre-processed image recognition result ; The tag adding unit is used to judge the category of the image according to the recognition result of the pre-processed image, and add a tag to the pre-processed image according to the judgment result.

[0051] Specifically, heavy rainfall is a key factor triggering floods, landslides, and mudslides. Accurate identification of the location and range of convective cloud clusters that cause heavy rainfall, as well as tracking the movement path of cloud clusters, can provide correct trigger conditions and corresponding parameters for the activation of downstream disaster sub-chains such as floods, landslides, and debris flows.

[0052] Specifically, geostationary meteorolo...

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Abstract

The invention belongs to the technical field of meteorology, and particularly relates to an intelligent image weather phenomenon recognition system and method, and the system comprises an image preprocessing unit which is used for sequentially carrying out the image enhancement, image denoising, image segmentation and image binarization of a collected meteorological original image, and obtaining apreprocessed image; an image category division unit used for carrying out category division on the preprocessed images according to weather categories of set weather and adding category labels to the preprocessed images; wherein the category label at least comprises the following categories: wind, cloud, fog, rain, flash, snow, frost, thunder, hail and haze; and an image recognition unit used for calling a recognition method corresponding to the label to perform image recognition on the pre-processed image added with the label to obtain a meteorological recognition result. The method has the advantages of high identification accuracy and high identification speed.

Description

technical field [0001] The invention belongs to the technical field of meteorology, and in particular relates to a system and method for intelligent image recognition of weather phenomena. Background technique [0002] Weather refers to the specific state of the atmosphere in a certain area near the surface in a short period of time. The weather phenomenon refers to various natural phenomena that occur in the atmosphere, that is, various meteorological elements in the atmosphere (such as temperature, air pressure, humidity, wind, cloud, fog, rain, flash, snow, frost, thunder, etc.) Hail, haze, etc.) comprehensive performance of the spatial distribution. [0003] The weather process is the change process of weather phenomena in a certain area over time. Various weather systems have certain spatial and temporal scales, and systems of various scales interweave and interact with each other. The combination of many weather systems constitutes a large-scale weather situation an...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/62
CPCG06V20/13G06V10/267G06F18/241
Inventor 赵秒文杨晓光贾久刚李厚发
Owner 河北冀云气象技术服务有限责任公司
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