A Global Stationary Minimum Level Set Segmentation Method for High-resolution SAR Images

Feng  Ji-Lan; Cao  Zong-Jie; Pi Yi-Ming

doi:10.3724/SP.J.1146.2009.01622

Volume 32 Issue 11

Dec. 2010

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Article Navigation > Journal of Electronics & Information Technology > 2010 > 32(11): 2618-2623

Feng Ji-Lan, Cao Zong-Jie, Pi Yi-Ming. A Global Stationary Minimum Level Set Segmentation Method for High-resolution SAR Images[J]. Journal of Electronics & Information Technology, 2010, 32(11): 2618-2623. doi: 10.3724/SP.J.1146.2009.01622

Citation:

Feng Ji-Lan, Cao Zong-Jie, Pi Yi-Ming. A Global Stationary Minimum Level Set Segmentation Method for High-resolution SAR Images[J]. Journal of Electronics & Information Technology, 2010, 32(11): 2618-2623. doi: 10.3724/SP.J.1146.2009.01622

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A Global Stationary Minimum Level Set Segmentation Method for High-resolution SAR Images

doi: 10.3724/SP.J.1146.2009.01622

Received Date: 2009-12-22
Rev Recd Date: 2010-04-21
Publish Date: 2010-11-19

Abstract

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.
- SAR image processing,
- Level set methods,
- Global minimum,
- G0 distribution

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References

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