基于小波的多分辨率分析理论提出了一种新的遥感影像数据融合方法。它利用区域方差最大和一致性准则对不同尺度下的子带数据进行融合，采用加权运算对相应基带数据进行复合E文中给出了黑白航空影像与TM影像、SAR影像的融合结果E通过与基于像素平均的融合方法比较，证明了本方法具有良好的鲁棒性和自适应能力E

This paper presents a new image fusion scheme based on multiresolution analysis of Wavelet theory for Remote Sensing imagery.An area-based maximum variance selection rule and a con-sistency detection are used for feature selection of subbands at dillerent scale,and gray computation with weighting factor is accomplished for base-bands at the coarsest resolution.Experimental results including the fusion of black-white aerial imagery and Landsat(TM)imagery,Landsat and SAR images are presented in the paper.Compared with the pixel averaging method,the proposed scheme is more reliable and capable of adaplability.