Comparison of wavelet-based and statistical speckle filters

Eric Hervet; Roger Fjortoft; Philippe Marthon; Armand Lopes

doi:10.1117/12.331361

20 November 1998 Comparison of wavelet-based and statistical speckle filters

Eric Hervet, Roger Fjortoft, Philippe Marthon, Armand Lopes

Proceedings Volume 3497, SAR Image Analysis, Modeling, and Techniques; (1998) https://doi.org/10.1117/12.331361
Event: Remote Sensing, 1998, Barcelona, Spain

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.

Citation Download Citation

Eric Hervet, Roger Fjortoft, Philippe Marthon, and Armand Lopes "Comparison of wavelet-based and statistical speckle filters", Proc. SPIE 3497, SAR Image Analysis, Modeling, and Techniques, (20 November 1998); https://doi.org/10.1117/12.331361

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available