Cooperation between Fusion and Segmentation for Multisource Image
CHEN Rong-yuan1,2, ZHENG Chen3, SHEN Li-Zhi1, LI Guang-Qiong1, TAN Li-Na1
1. School of computer and Information Engineering, Hunan University of Commerce, Changsha, Hunan 410205, China;
2. School of Computer, National University of Defense Technology, Changsha, Hunan, 410073, China;
3. School of Mathematics and Information Sciences, Henan University, Kaifeng, Henan, 475000, China
In order to solve the problem that lack of coordination between image fusion and segmentation methods.A cooperation framework for multisource remote sensing images fusion and segmentation was proposed in view of the advantage that data assimilation system can integrate its model operator and observation operator, and it can be optimized itself.Under this framework, two fusion methods based on contrast Pyramid transform and nonsubsampled contourlet transform were used as model operator and observation operator, the objective function was composed of probabilistic rand index to evaluate segmentation effect and particle swarm optimization with crossover operator was employed.The framework can adaptively adjust the parameters of segmentation algorithm according to fused images, and can use the segmentation results to guide the optimization of fused images, so as to make image fusion and image segmentation cooperate with each other.Two groups of experiments validate the effectiveness of the framework.
陈荣元, 郑晨, 申立智, 李广琼, 谭利娜. 多源影像融合与分割的协同方法[J]. 电子学报, 2015, 43(10): 1994-2000.
CHEN Rong-yuan, ZHENG Chen, SHEN Li-Zhi, LI Guang-Qiong, TAN Li-Na. Cooperation between Fusion and Segmentation for Multisource Image. Chinese Journal of Electronics, 2015, 43(10): 1994-2000.
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2015, Vol. 43 
