Objective Detection of a Tropical Cyclone’s Center Using Satellite Image Sequences in the Northwest Pacific

A tropical cyclone (TC) is one of the most destructive natural disasters that can cause heavy loss life and property. Determining a TC’s center crucial to TC forecasting. It difficult locate during its formation stage dissipation period. To address this problem, novel objective algorithm called cloud motion wind (CMW) was proposed for detecting using infrared (IR) image sequences from geostationary meteorology satellite. First, optical flow model with weighted median filtering utilized build field. Second, density matrix method used calculate TC. FY-2E (Fengyun-2E meteorological satellites) IR images three TCs in Northwest Pacific, Halong, Rammasun Haiyan were analyzed algorithm. The present estimated track an averaged error around 41 km. Experimental results compared observed given by China Meteorological Administration (CMA) show provided accurate estimates center. has potential be employed assist forecasters detect imminent