Abstract
ABSTRACT The tropical cyclone (TC) is a strong weather system that forms on the surface of the ocean. It is important to locate the TC centre when monitoring and forecasting. Infrared geostationary satellite images are reliable sources of TC location due to their high temporal resolution and wide regional coverage. A novel method for locating the centre of tropical cyclones by deviation angle gradient distribution uniformity is proposed in this paper. A region of interest is first intercepted from an infrared image with a spatial resolution of 5 km per pixel derived from the China FY-2 C and FY-2E geostationary satellites. The Bezier histogram segmentation method and K-means clustering segmentation method are then used to obtain the binary image in which the infrared brightness temperature changes drastically. Next, Hough transformation is utilized to reduce the search range of the centre location of the tropical cyclone. Finally, the deviation angle gradient distribution uniformity matrix is calculated from each pixel in the detection area as the reference centre, and the maximum value location of the matrix is considered to be the corresponding tropical cyclone centre. The methodology of this study could achieve good performance compared with the best track data of the China Meteorological Administration (CMA), the Japan Meteorological Agency (JMA), and the United States Joint Typhoon Warning Center (JTWC).
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