Typhoon inflicts terrible damage due to thunderstorms, violent winds, torrential rain, flooding and extreme high tides. Improving the early typhoon forecast capability is important for the disaster prevention. In recent years, many scholars have made efforts in typhoon center location, typhoon intensity estimation and moving path prediction from the satellite images. Moreover, it may be useful to transfer the useful information of typhoon to the audience in a low bandwidth environment. In this paper, we proposed a novel approach that partitions the satellite cloud image into slices to extract typhoon features. Then we used morphology operations and statistical image classification methods to locate the center and the contour of the typhoon. In addition, we applied the vector quantization method to encode typhoon satellite images owing to its fast image reconstruction capability in different resolutions and regions of interest. The infrared satellite images of 71 typhoons from mature pe...