| ID | 原文 | 译文 |
| 52697 | 针对稳定状态，该算法使用了稳态策略。 | A static strategy is presented for orientation estimation in the static state. |
| 52698 | 这种状态下，估计器利用之前时刻的估计值和预测协方差，从而达到既降低运算量，又有效缓解磁场变化带来的姿态偏移和陀螺仪数值积分漂移的目的。 | In this state, the estimator utilizes the previous estimate and predicts the covariance, which reduces the computation time and overcomes the magnetic disturbance as well as the integration drift. |
| 52699 | 另一方面，在动态策略中，严重干扰拒绝方法(SDR)被用于缓解瞬时干扰。 | On the other hand, in the dynamic state, a severe disturbance rejection method(SDR) is employed to alleviate the negative effects of temporary disturbance. |
| 52700 | 同时，无逆Kalman滤波器被用于融合磁-惯性传感单元的数据，有效避免矩阵的求逆运算，由此减轻计算负担。 | Meanwhile, the IFKF is capitalized to improve estimation efficiency by replacing the exact inverse of the innovation covariance matrix with an approximate inverse. |
| 52701 | 实验结果证明，所提出的方法在有效减少计算时间的同时维持了较高的姿态估计精度。 | Experiments on a body tracking system are presented to demonstrate the effectiveness of the proposed approach. |
| 52702 | 遥感图像超分辨增加了遥感图像的细节信息，在遥感图像处理中有重要的地位。 | Remote sensing image super-resolution improves the detail information of remote sensing image, which is of great significance in remote sensing image processing. |
| 52703 | 为了进一步提高遥感图像超分辨的重建效果，本文提出一种改进的密集连接网络遥感图像超分辨重建算法。 | In order to further improve the super-resolution reconstructed effect of remote sensing image, an improved remote sensing image super-resolution algorithm based on densely connected network is proposed. |
| 52704 | 首先对基于残差网络的深度超分辨算法(VDSR)进行改进， | First, the very deep super-resolution algorithm(VDSR) based on residual network is improved. |
| 52705 | 结合密集连接网络(DenseNet)，将残差网络中的残差块替换成密集块， | Combined with densely connected network(DenseNet), the residual blocks in the residual network are replaced by densely blocks, |
| 52706 | 并且添加一组密集层与瓶颈层，实现DenseNet网络结构的改进， | and a group of densely layers and bottleneck layers are added to improve the DenseNet network structure. |