The NMST is taken as prediction tree and is used to remove the correlation of hyperspectral image. Compared with the MST algorithm, the construction speed of NMST is improved more than ten times.
近最小生成树算法与最小生成树算法相比，预测树的构造速度提高一个数量级以上，而压缩比降低了不到5％。
参考来源 - 超光谱遥感图像压缩算法的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
本文在建立预测树的基础上，首次提出将图形化规则语言与预测树技术相结合。
Puts forword combination of graphical rule language with the technology of forecast tree analysis on the basis of the construction of the forecast tree.
再通过分类K L变换去除量化误差图像的谱间相关性，对K L变换后的特征图像采用预测树的方法进一步去除谱间结构相关性和空间相关性。
Then the classified K_L transform is used to reduce the spectral correlation of quantization error image. Finally, the prediction tree is adopted to reduc…
这个模型可用于任何未知的数据实例，来预测这个未知数据实例是否通过只询问两个简单问题就能理解分类树。
This model can be used for any unknown data instance, and you are able to predict whether this unknown data instance will learn classification trees by asking them only two simple questions.
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