Automatic center location of non-eyed typhoon in satellite cloud image

Abstract

Typhoon can be classified into two classes: eyed typhoon and non-eyed typhoon. The center of a non-eyed typhoon with good circularity is the geometric center of the cloud system and the center of a non-eyed typhoon with bad circularity can be located in the high grayness value area near the side of the greater grayness gradient sector. A new mathematical morphology-based algorithm is proposed to automatically achieve the center location of a non-eyed typhoon. Multispectral image fusion of infrared spectrum and water vapor spectrum is used to verify the result of locating the typhoon center. For a given infrared satellite cloud image, the locating steps are as followed: a) noises removing, b) main cloud systems segmenting, c) center locating and d) multispectral image fusion verification. The experimental results show that the algorithm locates the centers of most non-eyed typhoons successfully.