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Study on Massive Vegetation Data Processing of FY-3 Based on RAM (h)

机译:基于RAM(H)的FY-3大规模植被数据处理研究

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The vegetation data of the Fengyun meteorological satellite are segmented according to the latitude and longitude, and can be written into 648 blocks. However, the vegetation data processing efficiency is low because the data belongs to massive data. This paper presents a data processing method based on RAM (h) for Fengyun-3 vegetation data. First of all, we introduce the Locality-Aware model to segment the input data, then locate the data based on geographic location, and finally fuse the independent data based on geographical location. Experimental results show that the proposed method can effectively improve the data processing efficiency.
机译:凤云气象卫星的植被数据根据纬度和经度分割,可以写入648个块。但是,植被数据处理效率低,因为数据属于大量数据。本文介绍了基于RAM(H)的凤云-3植被数据的数据处理方法。首先,我们介绍了地区感知模型来分割输入数据,然后基于地理位置找到数据,并最终根据地理位置融合独立数据。实验结果表明,该方法可以有效提高数据处理效率。

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