ID 原文 译文
14225 通过研究实测数据的时频谱能量分布特点,对比了在不同极化条件下,传统算法与新算法对多组实测数据的分析结果,研究了Hough参数域内的尖峰特性,对小目标实现了有效检测,验证了算法的可行性。 This paper studies the characteristics of energy distribution of the time-frequency spectrum of the measured data, compares the a- nalysis results of multiple groups of measured data of the traditional algorithm with that of the new algorithm under different polarization conditions, and studies the characteristics of spikes in Hough parameter domain. The algorithm can effectively detect small targets, which verifies the feasibility of the algorithm.
14226 最终得出结论:新算法选取重排算法以及提取重排谱时频脊提高了检测能力,降低了运算量,对海面小目标实现有效检测,且HH极化条件下新算法的检测性能更好。 Finally, it is concluded that, by selecting the rearrangement algorithm and extracting the ridge of the rearranged time- frequency spectrum, the new algorithm improves the detection ability, reduces the computation amount, and effectively detects small targets on the sea surface with better performance under the condition of HH polarization.
14227 针对带状序列无人机影像自检校空中三角测量时存在相机参数误差累积过大的问题,提出一种分类自检校(CSC)方法。 To solve the technical problem of excessive accumulation of errors of camera parameters during aerial triangulation self-calibration of strip sequence images captured by a UAV. a Classified Self-Calibration(CSC)method is proposed.
14228 该方法首先根据影像的GPS位置信息建立KD树,并利用K-Means进行自分类; Firstly, based on the GPS information of the images, a KD-tree is set up, and K- Means is used for automatic classification of the images.
14229 然后对每类影像分别进行自检校光束法平差,将自检校得到的多组相机参数进行加权平均; Then, the self-calibration bundle adjustment of each type of images is conducted respectively, and weighted average is made to several groups of camera parameters obtained through self-calibration.
14230 最后进行全局自检校光束法平差。 Finally, the global self-calibration bundle adjustment is conducted.
14231 多组实验表明,CSC方法与室内检校场检校参数的像点畸变不符值均方根误差为0.5像素,检查点点位均方根误差为10.1 cm,且较Smart3D,VisualSFM和COLMAP软件能更精确地表示数据的原始姿态。 Multiple sets of experiment show that, the RMSE of the parameter difference between the CSC method and the calibration method conducted in an indoor calibration field after image point distortion removal is 0.5 pixels, and the RMSE of the checkpoint position is 10.1 cm. Compared with that of Smart3D, VisualSFM and COLMAP software, the results of aerial triangulation of the proposed method could more accurately represent the origina oose of the data.
14232 综上,CSC方法可为带状区域无人机影像自检校空中三角测量提供一种有效的方案,具有较强的实践应用价值。 In conclusion, the CSC method provides an effective scheme for the aerial triangulation self calibration of strip sequence images captured by a UAV. which has high practical application value.
14233 针对未知室内环境下移动机器人主动建图采用单一探索策略效率不高的问题,提出了全局检测与本地检测同步工作且级联筛选器的前沿点复合检测结构。 When adopting a single-layer strategy of environment exploration, the autonomous map building of a mobile robot in an unknown indoor environment is inefficient. To solve the problem, a composite detector of frontier points is proposed, which relies on the synchronous operation of the global detector and the local detector, as well as the cascading of the filters.
14234 采取本地和全局多重快速探索策略,将前沿点筛选与探索价值综合评估结合,进行最具价值目标探索点决策; This paper adopts a multi-layer strategy of fast environment exploration, which is composed of global detection and local detection, and combines the filtering of candidate frontier points with the comprehensive evaluation of value of the frontier points, so as to determine the most valuable frontier point in the exploration.