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.