Abstract
A new segmentation method based on Kullback-Leibler distance (KLD) of Edgeworth is proposed to accurately segment synthetic aperture radar (SAR) images into homogeneous regions and reduce the over-segmentation phenomenon. The proposed method uses a coarse-to-fine scheme. In the coarse phase, the SAR image is divided into fragments based on KLD, in which the Edgeworth expansion is employed to represent SAR data. In the fine phase, the divided fragments with the same shape or texture are merged in order to achieve an integrated segmentation. Experiments are performed based on high-resolution satellite SAR images and the experimental results demonstrate the efficiency of the proposed method.
This work was partially supported by the 973 Program (Project No. 2010CB327900) and the Foundation for Equipment Advanced Research Project.
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Hu, L., Ji, Y., Li, Y., Gao, F. (2010). SAR Image Segmentation Based on Kullback-Leibler Distance of Edgeworth. In: Qiu, G., Lam, K.M., Kiya, H., Xue, XY., Kuo, CC.J., Lew, M.S. (eds) Advances in Multimedia Information Processing - PCM 2010. PCM 2010. Lecture Notes in Computer Science, vol 6297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15702-8_50
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DOI: https://doi.org/10.1007/978-3-642-15702-8_50
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