基于深度学习理论的卫星云图云量计算任务书

 2021-08-19 11:08

1. 毕业设计(论文)主要目标:

1、基于卷积神经网络算法的卫星云图检测

2、基于卷积神经网络算法的云量计算

2. 毕业设计(论文)主要内容:

该文首先从各个方面介绍了关于国内外对卫星云图的检测和如何进行云量计算的研究,搜集了各方面的文献资料对卫星云图解译展开一个初步的了解。基于卷积神经网络这一方法进行学习研究,首先介绍了卷积神经网络是一个什么样的方法,这一方法的研究历史如何,之前应用与哪些方面;其次是介绍了卷积神经网络的结构;最后介绍了卷积神经网络的算法以及优点。利用了来自HJ-1A/1B的卫星云图数据,然后进行实验,通过采集云图上的数据,组成9000的训练样本,并经过预处理后来作为卷积神经网络的训练样本,用这种方法检测云图,计算出灰度值,通过与阈值法对比,最后验证卷积神经网络的优越性。

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