Comparison of Filters Dedicated to Speckle Suppression in SAR Images

Przemysław Kupidura


This paper presents the results of research on the effectiveness of different filtering methods dedicated to speckle suppression in SAR images. The tests were performed on RadarSat-2 images and on an artificial image treated with simulated speckle noise. The research analysed the performance of particular filters related to the effectiveness of speckle suppression and to the ability to preserve image details and edges. Speckle is a phenomenon inherent to radar images – a deterministic noise connected with land cover type, but also causing significant changes in digital numbers of pixels. As a result, it may affect interpretation, classification and other processes concerning radar images. Speckle, resembling “salt and pepper” noise, has the form of a set of relatively small groups of pixels of values markedly different from values of other pixels representing the same type of land cover. Suppression of this noise may also cause suppression of small image details, therefore the ability to preserve the important parts of an image, was analysed as well. In the present study, selected filters were tested, and methods dedicated particularly to speckle noise suppression: Frost, Gamma-MAP, Lee, Lee-Sigma, Local Region, general filtering methods which might be effective in this respect: Mean, Median, in addition to morphological filters (alternate sequential filters with multiple structuring element and by reconstruction). The analysis presented in this paper compared the effectiveness of different filtering methods. It proved that some of the dedicated radar filters are efficient tools for speckle suppression, but also demonstrated a significant efficiency of the morphological approach, especially its ability to preserve image details.
Author Przemysław Kupidura ZFTSIP
Przemysław Kupidura,,
- Department of Photogrammetry, Teledetection and Spatial Information Systems
Journal seriesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 [2194-9034]
Issue year2016
Publication size in sheets0.5
ConferenceXXIII International Society for Photogrammetry and Remote Sensing Congress (XXIII ISPRS Congress), 12-07-2016 - 19-07-2016, Prague, Czechy
Keywords in EnglishSAR Images, Radar Images, Filtering, Mathematical Morphology, Speckle Suppression
Internal identifier87/2016
Languageen angielski
2016_Kupidura_Comparison_of_Filters_Dedicated_87.pdf 1.93 MB
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2016_Oświadczenie_Kupidura_Comparison_of_Filters_87.pdf 201.33 KB
Score (nominal)15
ScoreMinisterial score = 15.0, 28-11-2017, ArticleFromJournalAndMatConf
Ministerial score (2013-2016) = 15.0, 28-11-2017, ArticleFromJournalAndMatConf
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