Volume XL-7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 37-41, 2014
https://doi.org/10.5194/isprsarchives-XL-7-37-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 37-41, 2014
https://doi.org/10.5194/isprsarchives-XL-7-37-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

  19 Sep 2014

19 Sep 2014

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

W. Ben Abdallah1 and R. Abdelfattah1,2 W. Ben Abdallah and R. Abdelfattah
  • 1COSIM Lab, University of Carthage, Higher School Of Communications of Tunis Route de Raoued KM 3.5, Cite El Ghazala Ariana 2083, Tunisia
  • 2Département ITI, Télécom Bretagne, Institut de Télécom Technopôle Brest-Iroise CS 83818 29238 Brest CEDEX 3, France

Keywords: Interferogram filtering, phase estimation, sparse coding, l0 minimization, approximate message passing

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.