A Pan-sharpening method appropriate to vegetation applications
A Pan-sharpening method appropriate to vegetation applications
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适合植被应用的全色锐化方法
DOI：
10.3788/col20090709.0781
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发表时间：
2009-09
期刊：
影响因子：
--
通讯作者：
张瑛
中科院分区：
文献类型：
--
作者：
何彬彬;张瑛
提出了一种适合植被应用的改进泛锐化算法，用于融合IKONOS全色（PAN）和多光谱（MSI）数据。引入归一化植被指数（NDVI）来评价融合产物的质量。与主成分分析（PCA）、小波变换（WT）、曲线变换（CT）等方法相比，该算法更好地兼顾了空间信息和频谱信息。NDVI性能表明，该方法的融合产物比其他方法更适合植被应用。
An improved Pan-sharpening algorithm appropriate to vegetation applications is proposed to fusea set of IKONOS panchromatic (PAN) and multispectral image (MSI) data. The normalized difference vegetation index (NDVI) is introduced to evaluate the quality of fusion products. Compared with other methods such as principal component analysis (PCA), wavelet transform (WT), and curvelet transform (CT), this algorithm has a better trade-off between keeping the spatial and spectral information. The NDVI performances indicate that the fusion product of this method is more suitable for vegetation applications than the other methods.