SAR interferogram filtering in the wavelet domain using a coherence map mask

Abdelfattah, Riadh; Bouzid, Abdenbi

doi:10.1109/icip.2008.4712148

Cited by 11 publications

(15 citation statements)

References 8 publications

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“…As quantitative comparison, we compute the MSE between the original phase image without noise and the filtered interferograms using FAMM (Abdelfattah and Bouzid, 2008), EWMF Abdelfattah, 2013), WInPF (Lopez-Martinez andFabregas, 2002), NL-InSAR (Deledalle et al, 2011) and the proposed algorithm. Table 1 shows the different MSE values when varying the noise level.…”

Section: Results From Simulated Interferogramsmentioning

confidence: 99%

New SAR Interferogram denoising method via sparse recovery based on L₀ norm

Abdallah

Abdelfattah

2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The goal of this paper is to estimate a denoised phase image from the observed noisy SAR interferogram. We proposed a linear model to obtain a sparse representation of the interferomteric phase image. The main idea is based on the smoothness property of the phases inside interferometric fringes which leads to get a sparse image when applying the gradient operator twice, along x or y direction, on the interferogram. The new sparse representation of the interferometric phase image allows to transform the denoising problem to an optimization one. So the estimated interferogram is achieved using the approximate message passing algorithm. The proposed approach is validated on different cases of simulated and real interferograms.

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Section: Results From Simulated Interferogramsmentioning

confidence: 99%

New SAR Interferogram denoising method via sparse recovery based on L₀ norm

Abdallah

Abdelfattah

2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…In (Lopez-Martinez and Fabregas, 2002), the noise model given at (1) is expressed in the complex domain to avoid the phase jumps in real domain which prevent the correct unwrapping of the interferometric phase (Abdelfattah and Bouzid, 2008). The observed phase is rewritten in the complex domain as follows:…”

Section: The Winp Filtermentioning

confidence: 99%

“…The modified version of the López and Fabregas algorithm is presented in (Abdelfattah and Bouzid, 2008). This approach aim to overcome the inconsistencies introduced in the mask growing step presented in WInP filter.…”

Section: Filtering Approach Using a Coherence Map Maskmentioning

confidence: 99%

“…When doubling the dimensions of the merged mask, (Lopez-Martinez and Fabregas, 2002) complete the missing data by duplicating existing data. The modified filter as described below is distinguished from the WInP filter by two features (Abdelfattah and Bouzid, 2008):…”

Section: Filtering Approach Using a Coherence Map Maskmentioning

confidence: 99%

“…In this paper, we consider four different methodologies for denoising the interferogram: an adaptive and a median filter based on the spatial domain and two other approaches in the wavelet domain. They are respectively the filtering approach proposed by Lee (Lee et al, 1998), the weighted median filter presented in (Arce, 1998), the denoising algorithm given by (Lopez-Martinez and Fabregas, 2002) and the filtering method given in (Abdelfattah and Bouzid, 2008). All of these approaches are tested on real interferograms from pairs of SLC data produced by Radarsat-2, Envisat, ERS-2 and COSMO-SkyMed satellites respectively over the region of Mahdia and Ben Guerden in Tunisia.…”

Section: Introductionmentioning

confidence: 99%

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A Comparitive Study On The Perfermance Of The InSAR Phase Filtering Approches In The Spatial And The Wavelet Domains

Abdallah

Abdelfattah

2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:In this paper, we studied and tested different filtering approaches of the SAR interferograms in the spatial and wavelet domains. In the spatial domain, we applied the classic Lee filter and the Weighted Median Filter WMF. In the wavelet domain, we tested a noise reduction algorithm WInP proposed by López and Fàbregàs and its enhanced version FAMM developed by Abdelfattah and Bouzid. Those filters are validated with different SAR interferograms provided by Radarsat-2, Envisat, ERS-2 and COSMO-SkyMed SLC data acquired over regions of Mahdia and Ben Guerden in Tunisia. The aim of this study is to select the optimal filtering approach with respect to the fringe pattern in the interferogram. This selection is based on the Digital Elevation Model error computed between the filtered unwrapping phase image and the Global ASTER DEM of the same regions and verified with simulated interferograms.

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