A yolo-based meteorological satellite cloud image target detection method

Abstract

The invention discloses a Yolo-based meteorological satellite cloud image target detection method. Divide the multiple visible light cloud maps into: the first visible light cloud map, the second visible light cloud map and the third visible light cloud map; wherein, the proportion of invalid information in the first visible light cloud map is ψ 1 satisfy ψ 1 <ψ min ; The proportion of invalid information in the second visible light nephogram ψ 2 satisfy ψ min ≤ψ 2 ≤ψ max ; The proportion of invalid information in the third visible light nephogram ψ 3 satisfy ψ 3 >ψ max ;ψ min is the lower limit of the invalid information threshold, ψ max is the upper limit of the threshold value of invalid information; 3. fuse the first visible cloud image with its corresponding infrared cloud image to obtain a fusion cloud image; combine the infrared cloud image corresponding to the first visible cloud image, the fusion cloud image and the third visible cloud image to form a cloud atlas to be detected; 4. The Yolo algorithm is used to perform target detection on the cloud images in the detection cloud image set, and identify the typical weather phenomena in the cloud images.

Description

technical field [0001] The invention belongs to the technical field of meteorological satellite cloud image identification and detection, in particular to a Yolo-based meteorological satellite cloud image target detection method. Background technique [0002] Meteorological satellites are an important meteorological tool, and among the data transmitted by meteorological satellites, the most important are the meteorological cloud image files, which play an important role in weather forecasting, especially precipitation analysis. Meteorological satellites can obtain daytime visible light cloud images, day and night infrared cloud images and water vapor distribution maps, etc. and transmit them by fax, and provide domestic and foreign meteorological data utilization stations for reception and utilization. For weather forecasting, the content of satellite cloud image analysis includes distinguishing cloud images of different channels, such as infrared cloud images and visible li...

AI Technical Summary

Problems solved by technology

Similar to it is the visible light cloud image, which is obtained by direct measurement of the reflection of the cloud layer on the light. The advantage of the visible light cloud image is that the shape and texture of the cloud detected by it are better (better than the infrared cloud image), but the visible light cloud image is in insufficient light. routine detection is not possible

In fact, in actual production, there are cases where the utilization rate of channels other than infrared cloud images is low

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