一种适用于植被应用的遥感影像融合方法
摘要
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.
引用本文（GB/T 7714）
Ying Zhang, Bin-Bin He, Xiaowen Li. 一种适用于植被应用的遥感影像融合方法[J]. Chinese Optics Letters, 2009.
引文网络
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