There is a huge demand to develop a method for marine search and rescue(SAR) operators automatically predicting the most probable searching area of the drifting object. This paper presents a novel drifting prediction model to improve the accuracy of the drifting trajectory computation of the sea-surface objects. First, a new drifting kinetic model based on the geometry characteristics of the objects is proposed that involves the effects of the object shape and stochastic motion features in addition to the traditional factors of wind and currents. Then, a computer simulation-based method is employed to analyze the stochastic motion features of the drifting objects, which is applied to estimate the uncertainty parameters of the stochastic factors of the drifting objects. Finally, the accuracy of the model is evaluated by comparison with the flume experimental results. It is shown that the proposed method can be used for various shape objects in the drifting trajectory prediction and the maritime search and rescue decision-making system.
以便在严肃的噪音克服差的精确性的缺点和传统的波长计算方法的非严肃的直觉说，一个修订的氡变换算法被使用建议一而不是使用近似用于波长的波浪质地直线评价。第一，雷达图象的氡变换被分析。然后，与波浪质地结合了获得它的恰当的直线，距离在直线之间被计算得到波长。最后，算法在 PC 上与 Matlab 被规划。试验性的结果证明建议算法能与好可见性改进波长的评价精确性。
LU YingZHUANG XinqingSUN ZhenWANG ShengzhengLIU Wei
