TM和SAR影像主分量变换融合法

探讨基于主分量变换法融合TM和SAR影像,采用包含广东省三水城的TM和航空SAR影像融合结果表明:主分量变换融合法不仅能提高多光谱影像的信息量和空间分解力,而且很大程度上保留了原多光谱影像的光谱特征。因此多光谱影像经采用主分量变换融合法与SAR融合后,在量测和解译能力上都有提高。与HIS变换融合法相比,主分量变换融合法对光谱特征的扭曲程度没有HIS融合法严重,因此它必将在实际中得到更广泛的应用。

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

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.