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

Johannes R. Sveinsson; Jon Atli Benediktsson

doi:10.1117/12.373262

14 December 1999 Speckle reduction and enhancement of SAR images using multiwavelets and adaptive thresholding

Johannes R. Sveinsson, Jon Atli Benediktsson

Proceedings Volume 3871, Image and Signal Processing for Remote Sensing V; (1999) https://doi.org/10.1117/12.373262
Event: Remote Sensing, 1999, Florence, Italy

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.

Citation Download Citation

Johannes R. Sveinsson and Jon Atli Benediktsson "Speckle reduction and enhancement of SAR images using multiwavelets and adaptive thresholding", Proc. SPIE 3871, Image and Signal Processing for Remote Sensing V, (14 December 1999); https://doi.org/10.1117/12.373262

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