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以IKONOS影像为数据源,对IHS、PC,Gram-Schmidt和基于亮度调节的平滑滤波(SFIM)四种融合算法进行融合处理,对其结果进行了评价.结果表明,定性比较主观性较强,定量比较方法虽多,但大都有一定的局限性,不同谱段的计算结果总有些差异.因此,定量评价时应该多选一些波段与评价方法才能获得比较客观的评价结果.光谱曲线的比较不失为一种比较好的方法,在对光谱曲线进行比较时本文引入了光谱角度和几何距离两种方法进行定量的比较.
IKONOS images are taken as the data source, the fusion algorithms of IHS, PC, Gram-Schmidt and SFIM (Smoothing Filter Based on Brightness Adjustment) are fused and the results are evaluated.The results show that the qualitative comparison is more subjective, Although there are many quantitative comparison methods, most of them have some limitations, and there are always some differences in the calculation results of different spectral bands. Therefore, quantitative evaluation should be based on a number of bands and evaluation methods to obtain more objective evaluation results. A better method, the spectral curve is compared when the introduction of the spectral angle and geometric distance between the two methods for quantitative comparison.