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首页> 外文期刊>ISPRS Journal of Photogrammetry and Remote Sensing >Method for orthorectification of terrestrial radar maps
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Method for orthorectification of terrestrial radar maps

机译:地面雷达图的正射校正方法

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摘要

The vehicle-based Pelican radar system is used in the context of mobile mapping. The R-SLAM algorithm allows simultaneous retrieval of the vehicle trajectory and of the map of the environment. As the purpose of Pelican is to provide a means for gathering spatial information, the impact of distortion caused by the topography is not negligible. This article proposes an orthorectification process to correct panoramic radar images and the consequent R-SLAM trajectory and radar map. The a priori knowledge of the area topography is provided by a digital elevation model. By applying the method to the data obtained from a path with large variations in altitude it is shown that the corrected panoramic radar images are contracted by the orthorectification process. The efficiency of the orthorectification process is assessed firstly by comparing R-SLAM trajectories to a GPS trajectory and secondly by comparing the position of Ground Control Points on the radar map with their GPS position. The RMS positioning error moves from 5.56 m for the raw radar map to 0.75 m for the orthorectified radar map.
机译:基于车辆的鹈鹕雷达系统用于移动制图。 R-SLAM算法允许同时检索车辆轨迹和环境图。由于鹈鹕的目的是提供一种收集空间信息的方法,因此地形引起的变形影响不可忽略。本文提出了一种正射校正过程,以校正全景雷达图像以及由此产生的R-SLAM轨迹和雷达图。数字高程模型提供了区域地形的先验知识。通过将该方法应用于从高度变化较大的路径获得的数据,可以显示校正后的全景雷达图像通过正射校正过程收缩了。首先通过将R-SLAM轨迹与GPS轨迹进行比较,然后通过将地面控制点在雷达地图上的位置与其GPS位置进行比较,来评估矫正过程的效率。 RMS定位误差从原始雷达图的5.56 m移动到正交整流雷达图的0.75 m。

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