Rainfall inspection method based on image recognition algorithm
A technology for image recognition and precipitation inspection, applied in 2D image generation, image enhancement, image analysis, etc., can solve problems such as inability to objectively analyze precipitation, achieve good model correction, and improve accuracy
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Embodiment 1
[0027] refer to figure 1 , a precipitation inspection method based on an image recognition algorithm, comprising the following steps:
[0028] S1: Data reading, first collect meteorological raw data and pictures, then identify and read them, and then perform image enhancement, image denoising, image filtering, image segmentation, image integration and image binarization processing in sequence to obtain preprocessing image;
[0029] S2: Data analysis, analyze the read data, and then set the precipitation threshold, define the continuous precipitation area through the precipitation threshold, and identify and separate the continuous precipitation area in a specific area;
[0030] S3: Data processing, shifting the model forecast at various angles to minimize the variance between the model precipitation forecast and the actual situation, calculate and analyze the precipitation fall area, precipitation intensity, and shape errors between the actual situation and the model, and sol...
Embodiment 2
[0035] refer to figure 1 , a precipitation inspection method based on an image recognition algorithm, comprising the following steps:
[0036] S1: Data reading, first collect meteorological raw data and pictures, then identify and read them, and then perform image enhancement, image denoising, image filtering, image segmentation, image integration and image binarization processing in sequence to obtain preprocessing image;
[0037] S2: Data analysis, analyze the read data, and then set the precipitation threshold, define the continuous precipitation area through the precipitation threshold, and identify and separate the continuous precipitation area in a specific area;
[0038] S3: Data processing, shifting the model forecast at various angles to minimize the variance between the model precipitation forecast and the actual situation, calculate and analyze the precipitation fall area, precipitation intensity, and shape errors between the actual situation and the model, and sol...
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