: In order to improve the accuracy of objective location of tropical cyclones, a method of tropical cyclones center location based on the deviation Angle variance combined with saliency detection and wavelet transform is proposed in this paper. First, the rough foreground center of the satellite cloud image sensing region is obtained by means of the saliency detection segmentation algorithm. From the center outwards, the appropriate rectangular area is selected as the subsequent detection area. Then the binary image obtained after saliency detection and the binary image segmented by wavelet transform are conducted phase and calculation, and only the binary image in the dense cloud region containing the location of sharp change of brightness temperature is obtained. Finally, a reference center is set in the detection area to calculate the deviation angle matrix of the kernel area, and the deviation angle variance (DAV) matrix of the detection area is obtained by traversing each point in the detection area. The minimum value of the variance matrix corresponds to the location of the typhoon center. The mean location deviation of the eyed TC was 28km compared with the best track data from China, Japan and the United States, and that of the non-eye TC was 47km. Compared with the localization method without significant detection and wavelet transform segmentation, the localization method in this paper can reduce the localization deviation. It is also a potential approach compared with the same type of TC localization research.
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