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.