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.