该方法可降低数据空间维数和支持向量机处理过程的复杂度，但不会降低分类和预测性能。
The method can reduce the dimensions of the data set and the complexity of the model of SVMs, and doesn't affect its classification and prediction performance.
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…
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