Speckle reduction of TerraSAR-X imagery using TV segmentation

Johannes R. Sveinsson, Björn Waske, Jon Atli Benediktsson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The Nonsubsampled Contourlet Transform (NSCT) is a new image representation approach that has sparser representation at both spatial and directional resolution and thus captures smooth contours in images. On the other hand, wavelet transform has sparser representation of homogeneous areas. In this paper, we are going to use the three combinations of undecimated wavelet and nonsubsampled contourlet transforms that was used in [12] for denoising of TerraSAR-X images. Two of the methods use the undecimated wavelet transform to denoise homogeneous areas and the nonsubsampled contourlet transform to denoise areas with edges. The segmentation between homogeneous areas and areas with edges is done by using total variation segmentation. The third method is a linear averaging of the two denoising methods. A thresholding in the wavelet and contourlet domain is done by non-linear functions which are adapted for each selected subband. The non-linear functions are based on sigmoid functions. Simulation results suggested that these denoising schemes achieve good and clean images.

Original languageEnglish
Title of host publication2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Print)9781424433957
Publication statusPublished - 2009
Event2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Cape Town, South Africa
Duration: 12 Jul 200917 Jul 2009

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)


Conference2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009
Country/TerritorySouth Africa
CityCape Town

Other keywords

  • Contourlet
  • Sigmoid thresholding
  • Speckle reduction
  • TerraSAR-X
  • Wavelet


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