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首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >The Application of Cloud Texture and Motion derived from Geostationary Satellite Images in Rain Estimation - A Study on Mid-latitude depressions
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The Application of Cloud Texture and Motion derived from Geostationary Satellite Images in Rain Estimation - A Study on Mid-latitude depressions

机译：云纹理和运动源于地球静止卫星图像在雨估计中的应用 - 中纬度萧条的研究

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摘要

This paper presents the preliminary results of a rain rate estimation system that utilizes a combination of cloud appearance and motion that can be derived from Meteosat. The proposed ram rate estimation system consists of three steps: feature selection, ram estimation and validation. In feature selection, cloud textural information is extracted and cloud motions are derived by a modified optical flow technique. Next, rain estimation is done using results from a supervised k-nearest neighbour (k-NN) classifier. Then, the results when applied to cold front dominated mid-latitude depressions are validated to update the classifier. Finally, the system's performance and its limitation are also discussed.
机译：本文介绍了雨率估计系统的初步结果，其利用云外观和运动的组合来源于Meteosat。所提出的RAM速率估计系统由三个步骤组成：特征选择，RAM估计和验证。在特征选择中，提取云纹理信息，并通过修改的光流技术导出云运动。接下来，使用来自监督的K-最近邻（K-NN）分类器的结果进行雨估计。然后，验证应用于冷正面主导的中纬度凹陷时的结果以更新分类器。最后，还讨论了系统的性能及其限制。

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