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| A Global Stationary Minimum Level Set Segmentation Method for High-resolution SAR Images |
| Feng Ji-lan Cao Zong-jie Pi Yi-ming |
| School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China |
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Abstract A new and fast level set method for segmentation of high-resolution SAR images into statistical homogenous areas is proposed. This approach is based on the G0 statistical model which can describe high-resolution SAR images as well as low-resolution SAR images. And the segmentation is obtained by minimizing energy function with level set methods. As the energy functional is designed to have global stationary minimum, a global and fast segmentation technique can be obtained, thus the practicality of the proposed approach is enhanced. The performance of the algorithm is verified with experiments based on both synthetic and real SAR images.
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Received: 22 December 2009
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Corresponding Authors:
Feng Ji-lan
E-mail: jlfeng911@163.com
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2010, Vol. 32 
