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Proceedings Paper

Speckle reduction and enhancement of SAR images using multiwavelets and adaptive thresholding
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Paper Abstract

Speckle reduction and enhancement of synthetic aperture radar (SAR) images with multiple wavelets (multiwavelets) are proposed and investigated. Multiwavelet transformations are useful for speckle reduction through its subband-images and the speckle reduction is obtained by thresholding the subband- image coefficients of the digitized SAR images. A non-linear speckle reduction method based on adaptive sigmoid thresholding of the multiwavelet coefficients for logarithmically transformed SAR image data is investigated. The proposed methods show great promise for speckle removal and hence provide good detection performance for SAR based recognition.

Paper Details

Date Published: 14 December 1999
PDF: 12 pages
Proc. SPIE 3871, Image and Signal Processing for Remote Sensing V, (14 December 1999); doi: 10.1117/12.373262
Show Author Affiliations
Johannes R. Sveinsson, Univ. of Iceland (Iceland)
Jon Atli Benediktsson, Univ. of Iceland (Iceland)


Published in SPIE Proceedings Vol. 3871:
Image and Signal Processing for Remote Sensing V
Sebastiano Bruno Serpico, Editor(s)

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