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Noise Reduction in Interferograms Using the Wavelet Packet Transform and Wiener Filtering

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4 Author(s)
Xianjie Zha ; Sch. of Earth & Space Sci., Univ. of Sci. & Technol. of China, Hefei ; Rongshan Fu ; Zhiyang Dai ; Bin Liu

A novel noise reduction scheme for synthetic aperture radar (SAR) interferograms based on the wavelet packet transform (WPT) and the Wiener filter is introduced in this letter. First, by employing the WPT in the spatial frequency domain, the real and imaginary parts of the complex noisy interferogram are decomposed, respectively, and the wavelet coefficients are obtained. Then, for these coefficients, Wiener filtering is adopted to remove noise. This scheme can filter noise adaptively according to the local noise level, without requiring any a priori information. By using a simulated noisy interferogram and two ENVISAT advanced synthetic aperture radar C-band interferograms, the performance of this scheme, in terms of noise reduction and fringes preservation, is reported and compared with other filter algorithms. The experimental results demonstrate the effectiveness of the proposed scheme.

Published in:

Geoscience and Remote Sensing Letters, IEEE  (Volume:5 ,  Issue: 3 )

Date of Publication:

July 2008

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