Image matching is very important in image processing

especially in remote sensing image processing. A nice matchimg method must possess the advantages of high matching precision

fast matching speed and the property of rotation invariant. In this paper

we proposed a novel method for fast image matching based on wavelet analysis with rotation invariant property. The edge of processing image is extracted from the detailed image of wavelet decomposition

which is used to calculate the distance moments of the image; the blurred images are designed for extracting the scale based Concurrent Matrix （SCM） features. A decision tree based on these two types of feature is then formed to implement the matching procedure. Experiments also show that this method is faster

more accurate and better noise robust compared to the traditional model based methods.