IF Estimation based on Wavelet Transform

Details IF Estimation based on Wavelet Transform IF Estimation based on Wavelet Transform

Jun 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004esasp.550e..57z&link_type=abstract

Proceedings of the FRINGE 2003 Workshop (ESA SP-550). 1-5 December 2003, ESA/ESRIN, Frascati, Italy. Editor: H. Lacoste. Publish

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For InSAR processing, the precision of the interferometric phase is the key problem for all kinds of its applications. While it is badly affected by many decorrelation factors such as thermal noise, atmospheric effect, the imaging geometry, the different Doppler Centroid, the processing and so on, all of them add the difficulty to do phase-unwrapping. Nowadays phase-unwrapping based on Instantaneous Frequency (IF) estimation has gained more attention [9][10]. IF can not only be used to do phase-unwrapping, but also can be used to do the interferogram filtering. How to estimate the unbiased IF from a low SNR interferogram is very important and challenging. Here the multi-scale analysis advantage of the WT is used to estimate IF. From the theory of WT, the IF of a signal can be extracted from the ridges of its WT. Beside, the WT can be an efficient tool to analyze multi-component signals. In this work the Morlet wavelet is used.

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