Braun M (2005)
Publication Type: Book chapter / Article in edited volumes
Publication year: 2005
Publisher: International Society for Optical Engineering; 1999
Edited Volumes: Proceedings of SPIE - The International Society for Optical Engineering
City/Town: Bruges
Book Volume: 5980
Pages Range: 89-98
DOI: 10.1117/12.626513
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.
APA:
Braun, M. (2005). Object-based speckle filtering using multisensoral remote sensing data. In Proceedings of SPIE - The International Society for Optical Engineering. (pp. 89-98). Bruges: International Society for Optical Engineering; 1999.
MLA:
Braun, Matthias. "Object-based speckle filtering using multisensoral remote sensing data." Proceedings of SPIE - The International Society for Optical Engineering. Bruges: International Society for Optical Engineering; 1999, 2005. 89-98.
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