Wavelet transform for noise reduction of SAR interferograms

Yueqin Zhou; Deren Li; John L. van Genderen

doi:10.1117/12.342929

22 March 1999 Wavelet transform for noise reduction of SAR interferograms

Yueqin Zhou, Deren Li, John L. van Genderen

Proceedings Volume 3723, Wavelet Applications VI; (1999) https://doi.org/10.1117/12.342929
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

SAR interferometry is a technique for extracting height information from phase difference images referred to as interferograms. Phase measurements from interferograms need to be unwrapped before useful information can be extracted since they are given module 2(pi) . Phase unwrapping is a difficult task to do because phase measurements tend to be corrupted by additive random phase noises caused by low coherence. The current approach to the phase noise reduction is to smooth interferograms by using coherent averaging method, which is simple but leads to a degradation of spatial resolution and edge blur. In this paper, an approach to phase noise reduction is proposed based on the wavelet transform. It is implemented by decomposing the original interferogram into a smoothed approximation and a series of wavelet planes at different resolution levels, followed by a morphological filtering of the wavelet planes that contain noises. The noise-reduced interferogram is reconstructed based on the approximation and the smoothed wavelet planes. The results show that the proposed approach can reduce phase noises with retained spatial resolution of the original interferograms when preserving edges.

Citation Download Citation

Yueqin Zhou, Deren Li, and John L. van Genderen "Wavelet transform for noise reduction of SAR interferograms", Proc. SPIE 3723, Wavelet Applications VI, (22 March 1999); https://doi.org/10.1117/12.342929

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