2008 
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Voi. XXXVII. Part Bl. Beijing 2008 
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Fig.4. Keypoint match 
4. DISCUSSION 
In this paper, the SIFT algorithm is introduced into the 
coregistration for the INSAR, and the result of our experiments 
shows that this method can precisely detect the keypionts and 
choose some reliable matching points. Comparing with 
traditional method of coregistration for INSAR in frequency 
domain, this method has a higher speed. 
Fig.4 illustrates that there are also few wrong matching points. 
We will do some research on 5 
5. CONCLUSION 
In this paper, we have presented a method based on the SIFT 
algorithm to solve the problem of INSAR. Coregistration is a 
key step in the INSAR process, and a high accuracy of 
coregistration has a vital effect on interference. Some 
advantages when using this method are a higher speed of 
computation, a higher precise of matching and an anti-noise 
ability. 
From the experiments above, we get a prospective result of 
coregistration in INSAR process. 
REFERENCES 
Zhao, W., Xu, W. and Yu, Y., 2007. Area Harmony 
Dominating Rectification Method for SIFT Image Matehing. 
The Eighth Intemayional Conference on Electronic 
Measurement and Instruments, ICEMI, vol.2, pp. 935-939. 
Zhang, C., Gong, Z. and Sun, L., 2008. The modified algorithm 
of image matching based on SIFT. Computer Engineering and 
Applications, 44(2), pp. 95-97.