Abstract
The presence of speckle in synthetic aperture radar (SAR) images makes the segmentation of such images difficult. In this paper, a set of energy measures of channels of the undecimated wavelet decomposition is used to represent the texture information of SAR image efficiently. Furthermore, the kernel FCM incorporating spatial constraints, which is characteristic of robustness to noise, is applied to the SAR image segmentation. A synthesized texture image and a Ku-band SAR image are used in experiments and the successful segmentation results show the validation of the method.
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Zhang, X., Shan, T., Wang, S., Jiao, L. (2005). SAR Image Segmentation Using Kernel Based Spatial FCM. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559573_7
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DOI: https://doi.org/10.1007/11559573_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29069-8
Online ISBN: 978-3-540-31938-2
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