The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part Bl. Beijing 2008 
probability in resident area is inferior. As a whole, matching 
probability of this method is very high: 96%. 
The average time of matching with target SAR images of 
128 x 128, and reference SAR images of 256 x 256 is 1.23s, 
obviously the matching speed is very quick. 
5. CONCLUSION 
Curvelet, as a kind of new multi-scaling transform, already 
demonstrated the huge potential in the traditional image's 
denoising, also get good process in the SAR image’s speckle 
denoising. The SIFT algorithm, introduced in this article, has 
solved the problem of locating between SAR images with 
distorts. For the differentia from high resolution Optical image, 
a further control error method has been proposed in the 
matching, which reduce the number of unstable correspondence 
key points. The superiority of this matching method applied in 
SAR images has been affirmed from the statistical angle. 
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