颱風是大氣循環系統的重要部分,但是颱風也是一個具有巨大破壞力的天氣系統。颱風會帶來強風、豪雨、水災和海水倒灌等可怕的災害,為了預防以及減少颱風所帶來的災害,提早預測颱風動態是一個關鍵。颱風中心是一個用來預測颱風強度以及移動路徑非常重要的依據,因此有許多學者提出了從衛星影像中進行颱風中心的定位、颱風強度的估計和移動路徑預測的研究成果,另外也有需求要快速的傳送天氣狀況影像給有興趣的人。在我們的研究過程當中,我們加強了之前所用的薄片(slices)定位訓練的方法,並且使用對衛星影像的向量量化方法來重建不同區域及解析度的颱風影像。為了能夠快速的重建颱風,我們使用LBG演算法來做編碼簿的訓練。 為了實現所提出的颱風重建方法,我們運用了台灣中央氣象局所提供從1995年到2006年之間的71個颱風的紅外線衛星影像進行實驗,每個颱風包括成熟期到衰敗期之衛星圖像。根據實驗結果颱風重建的測試結果也符合我們的期望。
Typhoons are an important part of the atmospheric circulation system. Typhoons also are weather systems with vast destructive power. Typhoon inflicts terrible damage due to thunderstorms, violent winds, torrential rain, flooding and extremely high tides. Improving the early typhoon forecast capability is a key to the disaster prevention. The typhoon center is a very important indicator of typhoon central power estimation and moving path forecast. Many scholars made efforts in typhoon center location, typhoon intensity estimation and moving path prediction from the satellite images. Moreover, there is also a need to fast transfer the weather image to audience. In our research we enhance the previous slice location algorithm. In addition, we use the vector quantization to encode typhoon satellite image so as to implement fast reconstruction the typhoon satellite image. We applied our approach to reconstruct typhoon in different resolution and different region selected. In order to fast reconstruct the typhoon image, the LBG algorithm is used for codebook training. The infrared satellite images of 71 typhoons from mature period to decaying period during the time frame between 1995 and 2006 are used in this research. These image is provided by Central Weather Bureau of Taiwan are used. The experimental results are also agreed with our expectation in the reconstruction of typhoon cloud image.