level set方法的雷達(dá)圖像跟蹤

對多普勒雷達(dá)圖像中的風(fēng)暴進(jìn)行準(zhǔn)確的識別和跟蹤，是下一步進(jìn)行天氣預(yù)報的前提。目前雷達(dá)圖像的主要跟蹤方法是進(jìn)行相鄰時刻圖像中風(fēng)暴的匹配，這些匹配方法會產(chǎn)生一定的誤差，特別是在風(fēng)暴分裂與合并的時候?；谶@一問題，將一種改進(jìn)的level set方法用于雷達(dá)圖像中風(fēng)暴的跟蹤。首先在第一幅雷達(dá)圖像中識別出風(fēng)暴的初始輪廓，利用改進(jìn)的算法，即不斷交換輪廓內(nèi)鏈和外鏈的格點(diǎn)，將初始輪廓不斷演化確定出第二幅圖像中風(fēng)暴的輪廓，依此再跟蹤下一時刻的風(fēng)暴。由于輪廓的演化是基于格點(diǎn)的，所以在風(fēng)暴發(fā)生分裂或合并時，可以實(shí)現(xiàn)輪廓的準(zhǔn)確跟蹤，進(jìn)而為災(zāi)害性天氣的預(yù)警工作打下良好的基礎(chǔ)。

Abstract:

?The accurate identification and tracking of storms based on Doppler radar images is the premise of weather forecast. At present， the main tracking method of radar image is matching storms between adjacent images， which can cause some errors， especially at the time of storms splitting and merging. Based on this problem， an improved level set method is used to track storms in the radar image. Initial contours of storms in the first radar image were identified， and contours of storms in the second image were the evolution of initial contours， which was achieved by the improved level set method， i.e. switching elements between the inside lists and outside lists of contours， and so were the next radar images. As the evolution of contours is based on the grid， the accurate tracking of contours can be achieved at the time of storms splitting and merging， and finally this improved method can build a good foundation for the early warning of severe weather.

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