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Cloud movement detection for satellite images

机译:卫星图像的云运动检测

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The ever-increasing amount of information available to meteorologists has led to a better understanding of weather forecast. The ability to automatically detect and estimate cloud segment speed and direction in a weather satellite would be very useful in forecasts of the future weather events. The objective of this research is to extract a particular cloud segment from a sequence of InfraRed satellite images, and detect cloud movement and calculate its speed and direction. The Difference Centroid Algorithm is employed to detect the movement of the cloud segment. Cloud speed and direction are then calculated by finding centroid displacement between cloud segments.
机译:气象学家可利用的信息量不断增加,从而使人们对天气预报有了更好的了解。在气象卫星的未来天气预报中,自动检测和估计气象卫星中云段速度和方向的能力将非常有用。这项研究的目的是从一系列红外卫星图像中提取特定的云段,并检测云的移动并计算其速度和方向。差质心算法用于检测云段的运动。然后通过找到云段之间的质心位移来计算云速度和方向。

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