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Proceedings Paper

Wavelet transform for noise reduction of SAR interferograms
Author(s): Yueqin Zhou; Deren Li; John L. van Genderen
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Paper 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.

Paper Details

Date Published: 22 March 1999
PDF: 7 pages
Proc. SPIE 3723, Wavelet Applications VI, (22 March 1999); doi: 10.1117/12.342929
Show Author Affiliations
Yueqin Zhou, Wuhan Technical Univ. of Surveying and Mapping (Netherlands)
Deren Li, Wuhan Technical Univ. of Surveying and Mapping (China)
John L. van Genderen, International Institute for Aerospace Survey and Earth Sciences (Netherlands)

Published in SPIE Proceedings Vol. 3723:
Wavelet Applications VI
Harold H. Szu, Editor(s)

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