摘要
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。
Using the method of wavelet transformation, authors studied multisource data fusing of remote sensing images, and also analyzed the effect of different lengths of wavelet base on the fusion images. By comparing the stability of data, vision effect and application flexility with IHS method and PCA method, it proved that the method of wavelet transformation is more feasible.
出处
《国土资源遥感》
CSCD
1999年第4期46-52,共7页
Remote Sensing for Land & Resources
