Abstract
This paper evaluates filtering effects on SAR image segmentation testing four types of speckle reduction algorithms. A primary goal of these filters is to provide a large amount of speckle noise reduction in homogeneous areas and to preserve edges and details. To assess the effects produced by the filters in the posterior segmentation task, some quality measures are calculated from the processed images and used to indicate the filtering ability for features preservation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Capstick, D., Harris, R.: The Effects of Speckle Reduction on Classification of ERS SAR Data. International Journal of Remote Sensing 22(18), 3627–3641 (2001)
Lee, J.S.: Speckle Analysis and Smoothing of Synthetic Aperture Radar Images. Computer Graphics and Image Process 17, 24–32 (1981)
Kuan, D.T., et al.: Adaptive noise smoothing filter for images with signal dependent noise. IEEE Trans. on Pattern Analysis and Machine Intelligence 7(2), 165–177 (1985)
Frost, V.S., et al.: A Model for Radar Image and its Application to Adaptive Digital Filtering of Multiplicative Noise. IEEE Transactions on Geoscience and Remote Sensing 4(2), 157–166 (1982)
Medeiros, F.N.S., et al.: Evaluating an Adaptive Windowing Scheme in Speckle Noise MAP Filtering. In: SIBIGRAP 2002, Fortaleza Brazil, pp. 281–285 (2002)
Pratt, W.K.: Digital Image Processing, 1st edn. John Wiley & Sons, New York (1991)
Webb, A.: Statistical Pattern Recognition. 2nd edn. John Wiley & Sons, England (2003)
Likas, A., Vlassisb, N., Verbeekb, J.: The Global K-Means Clustering Algorithm. Pattern Recognition 36(2), 451–461 (2003)
Zhang, Y.J.: Evaluation and comparison of different segmentation algorithms. Pattern Recognition Letters 18, 963–974 (1997)
Lucca, E.V.D.: Avaliação e comparação de algoritmos de segmentação de imagens de radar de abertura sintética. M. Sc. Dissertation. INPE, São José dos Campos, Brazil (1998)
Park, J.M., Song, W.J., Pearlman, W.A.: Speckle Filtering of SAR Images Based on Adaptive Windowing. IEE Proc. Vis. Image Processing 146(4), 191–197 (1999)
Peña, J.M., Lozano, J.A., Larrañaga, P.: An Empirical Comparison of Four Initialization Methods for the k-Means Algorithm. Pattern Recognition Letter 20(10), 1027–1040 (1999)
Guo, P., Chen, C.L.P., Lyu, M.R.: Cluster Number Selection for a Small Set of Samples Using the Bayesian Ying-Yang Model. IEEE Trans. Neural Networks 13(3), 757–763 (2002)
Delves, L.M., et al.: Comparing the performance of SAR image segmentation algorithms. International Journal of Remote Sensing 13(11), 2121–2149 (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Marques, R.C.P., Carvalho, E.A., Costa, R.C.S., Medeiros, F.N.S. (2004). Filtering Effects on SAR Images Segmentation. In: de Souza, J.N., Dini, P., Lorenz, P. (eds) Telecommunications and Networking - ICT 2004. ICT 2004. Lecture Notes in Computer Science, vol 3124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27824-5_136
Download citation
DOI: https://doi.org/10.1007/978-3-540-27824-5_136
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22571-3
Online ISBN: 978-3-540-27824-5
eBook Packages: Springer Book Archive