城市植被制图中SPOT5影像融合方法研究

不同的融合方法用于不同应用目的融合效果不同,本文采用主成分分析、HIS变换以及基于小波变换的主成分分析和HIS变换四种融合方法对SPOT5全色波段和多光谱波段进行融合,并针对城市植被制图特点对融合结果进行质量评价。结果表明,基于小波变换的PCA和HIS变换融合法光谱保持能力最好,但是空间结构特征较差,不适于城市植被零星分布的特点。主成分分析既有较好的空间结构特征,细小地物纹理清晰,同时又具有较好的光谱保持能力,最适合于城市植被制图研究。

Fusion study of SPOT5 image for urban vegetation mapping

The effect is not consistent when different fusion methods are used for different application. In this paper, SPOT5 images is fused using four fusion methods, including PCA, HIS, PCA based on wavelet transformation, and HIS based on wavelet transformation. The conclusion is that the image fused using PCA based on wavelet transformation have better spectral quality, but the spatial construction is not well. Because the location characteristic of urban vegetation is fragmental, so this method is not suitable for information obtaining. The image fused using PCA has better spatial construction and spectral quality, the texture of trivial objectives is clear, so this method is most suitable for vegetation mapping among these four methods.