中文摘要：

使用目视辨别以及客观评价指标对融合卫星影像的亮度信息（均值）、空间细节信息（方差、信息墒、平均梯度）、光谱信息（相关系数）、纹理信息（角二矩阵）4个方面研究评价CBERS和ALOS数据融合后的图像质量．结果表明，CBERS多光谱影像信息量更丰富，而ALOS的蓝色波段信息量明显低于其他波段．CBERS数据与ALOS数据自身融合以及CBERS的全色与ALOS的多光谱融合后的目视判别及定性评价效果较好，CBERS的多光谱和ALOS的全色融合效果稍差．各种评价参数的计算结果表明，中巴卫星的全色与多光谱融合信息量较ALOS丰富，CBERS的全色与ALOS的多光谱融合则表现出更多的优点，更适合在生产实践中应用．

英文摘要：

Using visual evaluation as well as the objective evaluation indexes, the quality of the fusion images of CBERS and ALOS was studied and evaluated from the intensity formation （mean） , spatial detail information （ variance ＆ entropy ＆ definition）, spectral information （correlation coefficient） and texture information （Angular Sencond-Moment）. The results showed that the original images of CBERS- mul has amount information, while ALOS＇ s blue multi-spectral is significantly lower than other bands. The fusion of number CBERS-mul with CBERS-pan, ALOS-mul with ALOS-pan and ALOS-mul with CBERS-pan have a good quality either in visual or qualitative evaluation. The effect of CBERS-mul with ALOS-pan is not good. The calculation result of all evaluation parameters indicate that CBERS-mul with CBERS-pan is better than ALOS-mul with ALOS-pan, and ALOS-mul with CBERS-pan has a lot of advantages in intensity formation, spatial detail information and texture information, it is suitable for the use of actual production frequently.