Review of applications of wavelets in speckle reduction and enhancement of SAR images

Johannes R. Sveinsson; Jon Atli Benediktsson

doi:10.1117/12.454179

28 January 2002 Review of applications of wavelets in speckle reduction and enhancement of SAR images

Johannes R. Sveinsson, Jon Atli Benediktsson

Proceedings Volume 4541, Image and Signal Processing for Remote Sensing VII; (2002) https://doi.org/10.1117/12.454179
Event: International Symposium on Remote Sensing, 2001, Toulouse, France

Abstract

Wavelets have become a popular tool in many research areas because of the combination of a nice theoretical foundation and promising applications. The theoretical foundation reveals new insights and has thrown a new light on several application areas. One of the applications is speckle reduction and enhancement of synthetic aperture radar (SAR) images. The use of wavelet thresholding as noise reduction method is based on the following properties: Wavelet transformation creates a sparse signal (because of the decorrelation property of the transform); noise is spread out equally over all wavelet transform coefficients; noise level is not too high and thus signal wavelet transformation coefficients can be recognized. In this paper, we will review the use of wavelet,translation invariant wavelet, almost translation invariant wavelet (complex wavelet), and multi-wavelet transformations in speckle reduction of SAR images. Several nonlinear thresholding functions, i.e., hard, soft, adaptive sigmoid, and a function based on generalized cross validation are investigated and compared in experiments.

Citation Download Citation

Johannes R. Sveinsson and Jon Atli Benediktsson "Review of applications of wavelets in speckle reduction and enhancement of SAR images", Proc. SPIE 4541, Image and Signal Processing for Remote Sensing VII, (28 January 2002); https://doi.org/10.1117/12.454179

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