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Proceedings Paper

Comparison of wavelet-based and statistical speckle filters
Author(s): Eric Hervet; Roger Fjortoft; Philippe Marthon; Armand Lopes
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Paper Abstract

The wavelet transform has become a very popular tool in signal and image processing. Over the last few years, several authors have proposed wavelet-based filters for speckle reduction in SAR*images, and the results are generally reported to be superior to those obtained with traditional statistical speckle filters. In this paper we give a thorough experimental comparison of representative filters from both categories. We show that spatially adaptive statistical filters yield better noise reduction and preservation of structures than wavelet- based methods, but that the latter have certain advantages compared to statistical filters which are not spatially adaptive.

Paper Details

Date Published: 20 November 1998
PDF: 12 pages
Proc. SPIE 3497, SAR Image Analysis, Modeling, and Techniques, (20 November 1998); doi: 10.1117/12.331361
Show Author Affiliations
Eric Hervet, ENSEEIHT (France)
Roger Fjortoft, CESBIO (Norway)
Philippe Marthon, ENSEEIHT (France)
Armand Lopes, CESBIO (France)


Published in SPIE Proceedings Vol. 3497:
SAR Image Analysis, Modeling, and Techniques
Francesco Posa, Editor(s)

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