Research on Automatic Identification of MCS Based on Infrared Satellite Cloud Image of FY2D

摘要

The mesoscale convective system (MCS) has a great influence on the Aviation flight, this article used infrared satellite cloud image data detected by FY2D and eigenvalue method to research MCS' identification to accurately identify the MCS cloud. Firstly, satellite image binarization processing and edge detection, to extract the large boundary gray gradient cloud. Then, calculating cloud's geometric center coordinates, cloud size, centroid coordinates, the average TBB values, ellipticity and some other eigenvalue and eigenvector. Finally, selecting those which meet to the MCS identification criterion to realize the automatic identification of MCS.