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Proceedings Paper

Object-based speckle filtering using multisensoral remote sensing data
Author(s): Björn Waske; Vanessa Heinzel; Matthias Braun; Gunter Menz
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Paper Abstract

Speckle - appearing in SAR Images as random noise - hampers image processing techniques like segmentation and classification. Several algorithms have been developed to suppress the speckle effect. One disadvantage, even with optimized speckle reduction algorithms, is a blurring of the image. This effect, which appears especially along the edges of structures, is leading to further problems in subsequent image interpretation. To prevent a loss of information, the knowledge of structures in the image could be an advantage. Therefore the proposed methodology combines common filtering techniques with results from a segmentation of optical images for an object-based speckle filtering. The performance of the adapted algorithm is compared to those of common speckle filters. The accuracy assessment is based on statistical criteria and visual interpretation of the images. The results show that the efficiency of the speckle filter algorithm can be increased while a loss of information can be reduced using the boundary during the filtering process.

Paper Details

Date Published: 12 October 2005
PDF: 10 pages
Proc. SPIE 5980, SAR Image Analysis, Modeling, and Techniques VII, 59800A (12 October 2005); doi: 10.1117/12.626513
Show Author Affiliations
Björn Waske, Ctr. for Remote Sensing of Land Surfaces (Germany)
Vanessa Heinzel, Ctr. for Remote Sensing of Land Surfaces (Germany)
Matthias Braun, Ctr. for Remote Sensing of Land Surfaces (Germany)
Gunter Menz, Univ. of Bonn (Germany)


Published in SPIE Proceedings Vol. 5980:
SAR Image Analysis, Modeling, and Techniques VII
Francesco Posa, Editor(s)

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