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31 May 1996 Speckle noise reduction of airborne SAR images with symmetric Daubechies wavelets
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We report the study of a multiresolution speckle reduction method for airborne synthetic aperture radar (SAR) images. The SAR image is first subband-coded using complex symmetric Daubechies wavelets, followed by a noise estimate on the three high-pass bands. An elliptic wavelet coefficient thresholding rule is then applied, that preserves the global orientation of the complex wavelet coefficient distribution. FInally, a multiresolution synthesis (inverse wavelet transform) is done in a last small dim objects. A speckle index is computed to quantify the speckle reduction performance. We compare our results with those obtained using median and geometrical (Crimmins) filters.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Langis Gagnon and Fatima Drissi Smaili "Speckle noise reduction of airborne SAR images with symmetric Daubechies wavelets", Proc. SPIE 2759, Signal and Data Processing of Small Targets 1996, (31 May 1996);


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