| 基于D-S证据理论的多源遥感图像目标数据联合关联算法 |
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| 引用本文： | 汤亚波,徐守时.基于D-S证据理论的多源遥感图像目标数据联合关联算法[J].中国科学技术大学学报,2006,36(5):466-471. |
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| 作者姓名： | 汤亚波 徐守时 |
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| 作者单位： | 中国科学技术大学电子工程与信息科学系,安徽,合肥,230027 |
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| 基金项目： | 中国科学院资助项目;中国科学院知识创新工程项目 |
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| 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.
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| 关 键 词： | 多源遥感图像 移动目标跟踪 目标数据关联 卡尔曼滤波器 D-S证据理论 |
| 文章编号： | 0253-2778(2006)05-0466-06 |
| 收稿时间： | 03 8 2005 12:00AM |
| 修稿时间： | 05 13 2005 12:00AM |
A united target data association algorithm based on D-S theory and multiple remote sensing images |
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| TANG Ya-bo,XU Shou-shi.A united target data association algorithm based on D-S theory and multiple remote sensing images[J].Journal of University of Science and Technology of China,2006,36(5):466-471. |
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| Authors: | TANG Ya-bo XU Shou-shi |
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| Institution: | Department of Electronic Engineering and Information Science ,USTC , Hefei 230027,China |
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| Abstract: | 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. |
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| Keywords: | multiple remote sensing image mobile target tracking target data association Kalman filter D-S evidence theory |
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