| ID | 原文 | 译文 |
| 9664 | 在使用Hough变换进行运动参数的估计之前,采用对比度拉伸变换和中值滤波的图像预处理方法,以提高低信噪比条件下参数估计的准确性和稳健性。 | Before using Hough transform is used to estimate its motion parameters, the contrast stretching transform and median filter of image preprocessing method, in order to improve the accuracy of parameter estimation under the condition of low SNR and robustness. |
| 9665 | 理论分析和仿真研究结果表明,所提算法能够有效地对运动目标进行被动测距,对目标是否通过最近距离点没有限制,具有更广泛的适用性。 | Theoretical analysis and simulation results show that the proposed algorithm can effectively to passive range of motion target, whether through there is no limit to the closest point on a target, have wider applicability. |
| 9666 | 为了解决杂波和漏检下多目标的联合跟踪与分类问题,提出了模型类型匹配概率假设密度(probability hypothesis density,PHD)滤波器,同时将其与多传感器的可转移信度模型(transferable belief model,TBM)框架相结合,并用多个运动学雷达和粒子滤波递推实现。 | In order to solve the multi-objective joint under clutter and residual tracking and classification problem, put forward the model type matching probability hypothesis density (aim-listed probability content, density, PHD) filter, and at the same time with the multi-sensor transferable reliability model (transferable are model of TBM) framework, the combination of kinematics radar and particle filter with multiple recursive implementation. |
| 9667 | 该算法对飞行器的先验信息进行估计,从而替代了属性传感器。 | The algorithm to the aircraft, the author estimated the priori information of attributes to replace the sensor. |
| 9668 | 在预测阶段,根据模型和类型对PHD滤波器进行粒子匹配; | In the forecast period, according to the model and type of PHD filter particle matching; |
| 9669 | 传感器得到观测结果后进行粒子权重的更新; | Sensors for updating particle weights after observations; |
| 9670 | 再根据粒子对应的权重得到目标的后验状态-模型-类型分布; | According to the particle corresponds to the weight of target is obtained a posteriori state - model - type distribution; These PHD filter can get the state of the target and type at the same time; |
| 9671 | 这些PHD滤波器可以同时得到目标的状态和类型;结合TBM和航迹粒子标签算法,得到多个传感器的融合结果。 | Combination of TBM and track particle label algorithm, multiple sensor fusion results are obtained. |
| 9672 | 仿真表明,本文提出的模型类型匹配PHD滤波器的性能比传统多模型PHD滤波器更精确,同时多传感器的TBM框架也全面提升了算法的性能。 | Simulation shows that the proposed model type matches PHD filter performance is more accurate than traditional multi-model PHD filter, multi-sensor TBM framework also improve the performance of the algorithm. |
| 9673 | 工程风险分析方法已经提出了大量的风险事件、发生概率及风险管理措施,但是这些信息分布在不同的部门和项目中,没有形成统一的、可重复使用的风险管理知识,致使许多风险分析工作是重复劳动,效率低下。 | Engineering risk analysis methods have put forward a lot of risk events, probability and risk management measures, but these information is distributed in different departments and project, not form a unified, reusable knowledge of risk management, leaving many risk analysis work is repeated labor and low efficiency. |