中文摘要：

多源遥感影像融合能够综合利用多源信息的优势，从而获得比单一数据更客观、更丰富的信息。ALOS是一种新的高分辨率卫星数据源，探讨ALOS数据的实用融合方法对于促进它的应用具有十分重要的意义。论文从分析ALOS数据的特点出发，对几种常见的融合方法进行了比较试验，并从提高空间分辨率和保持原始图像光谱信息的角度分析评价了不同融合方法的效果。就试验区ALOS数据AVNIR_4、3、2多光谱波段与其PRISM—PAN波段进行融合而言，试验发现BROVEY变换法在提高目视效果和识别精度方面优于其他几种方法融合。

英文摘要：

The fusion of multi-source remote sensing images can utilize the multi-source information and obtain richer and more objective information compared with the single source image data, ALOS is a new source of high resolution satellite data, hence research on the practical methods for ALOS data fusion has great significance in prompting the ALOS data application, Based on the features of ALOS data, some common fusion algorithms are experimented and compared. Results of different fusion methods are analyzed in terms of spacial resolution enhancement and spectral information maintenance. As far as the fusion of AVNIR_4、3、2 muhispectral and PRISM_PAN bands selected are concerned, the experiments show that the Brovey method gets the advantage over other fusion methods in the aspect of visual results and identifying precision.