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利用小波变换方法进行多卫星遥感图像数据融合，分析不同长度的小波基对融合图像的影响，从信息的保持性、视觉效果及运用灵活性等方面与ＩＨＳ、ＰＣＡ融合算法进行了比较，从而探讨这一新算法在遥感图像分析应用中的可行性。
The fusion of multi-satellite remote sensing image data by wavelet transform is analyzed, and the influence of wavelet bases of different lengths on the fusion image is analyzed. The IHS and PCA fusion algorithms are compared with the information retention, visual effect and flexibility. The feasibility of this new algorithm in the application of remote sensing image analysis.