以Quickbird影像为例，分析和评价了 HIS （Intensity － Hue －Saturation）、Brovey、PCA （Principal Compnent Analysis）、WT（Wavelet Transformation）和WT －IHS等5种融合算法的特点和优劣。研究结果表明：Brovey方法存在一定的光谱失真，从空间细节上说，PCA影像的亮度值过高，造成图像对比度降低，WT －IHS方法在空间细节信息和光谱信息的保持方面与其他方法相比稍显优越；PCA和WT －IHS的均值最高，WT －IHS与WT的标准差最大，WT －IHS方法的信息熵最高。PCA变换和Brovey变换不论是在光谱信息丰富程度还是在空间分辨率的精度方面效果都不明显，在低分辨率多光谱信息与高分辨率空间信息之间权衡较好的一种方法是WT －IHS变换法。%Based on the Quickbird image ,the article analyzes and evaluates the characteristics advantages and disadvanta‐ges of five fusion algorithms ,including IHS ,Brovey ,PCA ,WT and WT -IHS .The results show that Brovey transforma‐tion has some spectral distortion;according to spatial details ,PCA owns high brightness ,which causes lower contrast;compared with other methods ,WT-IHS is superior in spatial details and spectrum information .In addition ,the article proposes that the mean value of PCA and WT-his is the highest ,the standard deviation of WT -IHS and WT is the largest ,and information entropy of WT-IHS is the highest .In general ,the PAC transportation and Brovey transporta‐tion don't have obvious effect on the diversity of spectral information or the accuracy of spatial resolution .Therefore ,the overall performance of WT-HIS keeps a good balance in low resolution multi-spectrum information and high resolu‐tion spatial information .
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