Object-based speckle filtering using multisensoral remote sensing data

Björn Waske; Vanessa Heinzel; Matthias Braun; Gunter Menz

doi:10.1117/12.626513

12 October 2005 Object-based speckle filtering using multisensoral remote sensing data

Björn Waske, Vanessa Heinzel, Matthias Braun, Gunter Menz

Proceedings Volume 5980, SAR Image Analysis, Modeling, and Techniques VII; 59800A (2005) https://doi.org/10.1117/12.626513
Event: SPIE Remote Sensing, 2005, Bruges, Belgium

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.

Citation Download Citation

Björn Waske, Vanessa Heinzel, Matthias Braun, and Gunter Menz "Object-based speckle filtering using multisensoral remote sensing data", Proc. SPIE 5980, SAR Image Analysis, Modeling, and Techniques VII, 59800A (12 October 2005); https://doi.org/10.1117/12.626513

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KEYWORDS

Speckle

Image segmentation

Image filtering

Image processing algorithms and systems

Synthetic aperture radar

Digital filtering

Visualization

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