Mesoscale convection system identification and tracking method based on image anchor-frame-free detection

Abstract

The invention discloses an MCS (Mesoscale Convection System) identification and tracking method based on image anchor-frame-free detection, which comprises the following steps of: step 1, preprocessing infrared brightness temperature data of an original stationary satellite, carrying out mesoscale convection system marking on an infrared cloud picture obtained after processing, and then randomly dividing a training set, a verification set and a test set; step 2, constructing an instance segmentation network based on no anchor frame, the network being used for extracting image features, detecting a mesoscale convection system and segmenting specific instances; step 3, performing training set image enhancement, using a transfer learning supervised training instance to segment the convolutional neural network, and automatically learning network parameters; step 4, performing mesoscale convection system detection and segmentation on the geostationary satellite infrared nephograms at adjacent moments by using the trained model; and step 5, realizing the tracking of the mesoscale convection system according to a related target matching principle.

Description

technical field [0001] The invention belongs to the technical field of deep learning and computer vision, and in particular relates to a mesoscale convective system identification and tracking method based on image anchor-free frame detection. Background technique [0002] In recent years, global warming has led to more frequent and active severe convective disastrous weather in various places. Mesoscale convective system (Mesoscale Convective System, MCS) is a weather system with strong convection, which has the characteristics of short life cycle and small space scale. Huge damage to the national economy. Especially in civil aviation operations, the strong convective movement of MCS will cause severe turbulence of the aircraft, and even cause serious damage to the fuselage, leading to air crashes. Therefore, how to quickly and accurately identify the instance of MCS and analyze its evolution and movement is very important, and it is an important research topic in meteoro...

AI Technical Summary

Problems solved by technology

[0003] At present, most MCS recognition methods are based on traditional image features, that is, to identify according to relevant judgment standards. These methods are too dependent on the selection of feature thresholds and the whole process is cumbersome and computationally intensive.

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