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Fusion of Landsat TM and SAR Images Based on Principal Component Analysis

JIA Yonghong  
In this paper,principal component analysis(PCA)used to fuse Landsat TM with SAR image is discussed.The images generated by PCA fusion method have higher spatial resolution while maintaining the basic spectral contents of the original TM images.Comparison are made qualitatively and quantitatively with HIS method.The PCA fusion method distorts the spectral characteristics less than the HIS method does,so their capabilites of the images generated by the PCA fusion method are improved both in interpretation and in measurement.They will be more widely applied in practice.
【CateGory Index】: TP75
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