The combined use of principal component transform and IHS color transform provides a powerful information extraction tool for multispectral data processing.
主成分变换和彩色变换相结合，为多波段数据信息提取提供了一种新的方法。
Combining the principle of the Principal Component Transform and various data processing methods, automatic detection of land using changing information can be implemented by different methods.
结合主成分变换原理和不同的数据处理过程，可以用不同的方式实现土地利用变化信息的自动发现。
Wavelet transform was utilized to get coefficients of each scale. Based the coefficient matrix, principal component analysis model was established to diagnose sensor fault.
利用小波变换得到传感器信号在各个尺度上的系数，然后根据尺度系数矩阵建立主元分析模型进行传感器故障诊断。
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