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.
冯籍澜, 曹宗杰, 皮亦鸣. 适用于高分辨SAR图像的全局稳态最小水平集分割方法[J]. 电子与信息学报, 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. , 2010, 32(11): 2618-2623.
2010, Vol. 32 
