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Multiresolution Analysis of SAR Images

M. Datcu, D. Luca and K. Seidel
EUSAR
1996

Abstract

SAR images have shown to be of high complexity and to require dedicated processing techniques. This paper presents two applications of the wavelet and multiresolution theory to the enhancement and characterization of SAR data. The first application describes an improved method for speckle reduction. The second method uses a fractal-based texture measure to provide elements for SAR image segmentation. The methods have been applied to airborne C-band SAR images.


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@InProceedings{eth_biwi_00094,
  author = {M. Datcu and D. Luca and K. Seidel},
  title = {Multiresolution Analysis of SAR Images},
  booktitle = {EUSAR},
  year = {1996},
  pages = {375-378},
  keywords = {remote sensing, filtering, segmentation, fractal, SAR, texture, wavelets}
}