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首页> 外文期刊>電子情報通信学会技術研究報告. 信号処理. Signal Processing >Movement and deformation prediction method of nonstationary meteorological radar patterns based on a spatio-temporal texture element model
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Movement and deformation prediction method of nonstationary meteorological radar patterns based on a spatio-temporal texture element model

机译:基于时空纹理元素模型的非营养气象雷达图案的运动与变形预测方法

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This paper discusses a Dynamics Texture Method that predicts futuristic movements and deformations of meteorological patterns from past time-sequential patterns. All shapes of patterns appeared in typhoons and intensive heavy rainfalls can be assumed to a pattern model blended from many small patterns with differencings. Thus this paper applies several spatio -temporal texture patterns so as to approximate a wide spectrum of patterns. Prediction is made by solving partial difference equations. Pattern velocities are estimated in two stages: roughly by optical flow and precisely by the SVD. Futuristic velocities are modified by the Navier-Stokes equation. Experimental results show that predicted vertical patterns with strong nonstationarity and nonlinearity become similarity with actual patterns in the leading time and that this method is useful for heavy rainfall disaster prevention.
机译:本文讨论了一种动态纹理方法,从而预测过去的时间顺序模式的未来动作和气象模式的变形。 在台风和密集大雨中出现的所有形状都可以假设从具有不同差异的许多小图案混合的模式模型。 因此,本文适用于多个时空纹理图案,以便近似宽的模式。 通过求解局部差分方程来进行预测。 图案速度估计为两个阶段:大致通过光学流动,精确地由SVD精确。 未来派速度由Navier-Stokes方程修改。 实验结果表明,具有强烈的非间抗性和非线性的预测垂直图案与前期实际模式变得相似性,并且这种方法可用于大雨防灾。

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