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Proceedings Paper

Speckle noise reduction of airborne SAR images with symmetric Daubechies wavelets
Author(s): Langis Gagnon; Fatima Drissi Smaili
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Paper Abstract

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.

Paper Details

Date Published: 31 May 1996
PDF: 11 pages
Proc. SPIE 2759, Signal and Data Processing of Small Targets 1996, (31 May 1996); doi: 10.1117/12.241168
Show Author Affiliations
Langis Gagnon, Loral Canada Inc. (Canada)
Fatima Drissi Smaili, Univ. de Montreal (Canada)


Published in SPIE Proceedings Vol. 2759:
Signal and Data Processing of Small Targets 1996
Oliver E. Drummond, Editor(s)

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