摘要
以遥感图像目标识别结果为主,结合卡尔曼滤波器获得的目标运动状态估计结果,提出一种基于D-S证据理论的目标数据联合关联算法.蒙特卡罗模拟实验结果表明,该方法稳定性较强,适合于对海上船舶等遥感图像目标的持续跟踪.
According to the target recognition results in remote sensing images and the target states estimation results predicted by the Kalman filter, a new robust target association algorithm based on D-S evidence theory was proposed. Experimental results accomplished with the Monte Carlo method show that the united association algorithm is applicable to marine target tracking.
基金
中国科学院支撑技术项目(42201020501)
中国科学院知识创新方向性项目(kzcx0101)资助