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基于傅立叶相位分析的卫星云图导风技术
DERIVING CLOUD MOTION VECTORS FROM HIGH TEMPORAL RESOLUTION IMAGES BASED ON FOURIER PHASE ANALYSIS TECHNIQUE
【摘要】 导出云迹风 (CloudMotionWind)的传统方法 ,是用最大相关系数法在间隔 30min的卫星云图序列上计算示踪云的位移 ,以获得有关高度上风的估计值。但在用这种方法处理 1min间隔云图时产生“亚像素尺度位移”问题。过去对傅立叶分析法的初步研究表明 ,对示踪云进行频域波谱分析 ,由谐波的相位变化计算波速 ,能够避免“亚像素尺度位移”问题。本文在此基础上 ,给出详细的理论推导和个例验证
【Abstract】 Fourier phase analysis is proposed as a new technique to address the problem of "sub-pixel motion" which is met in deriving cloud motion winds (CMW) from high temporal resolution images by the maximum correlation technique. Based on 1-D Fourier analysis, the Fourier technique computes phase shifts for cloud motion vectors. The technique is more efficient than the maximum correlation because only two templates in same size are involved in computing procedure. Moreover, it obtains not only CMW vectors but also velocity spectrum and variance.
【Key words】 Fourier analysis Cloud motion winds(CMW) High temporal resolution images;
- 【文献出处】 气象科学 ,Scientia Meteorologica Sinica , 编辑部邮箱 ,2004年01期
- 【分类号】P412.27
- 【被引频次】32
- 【下载频次】364