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Assessment of GCP Number and Separation Distance for Small UAS Surveys with and without GNSS-PPK Positioning

机译:有和没有GNSS-PPK定位的小型UAS调查的GCP数量和分隔距离的评估

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摘要

Georeferencing of aerial images from small unmanned aerial systems (sUASs) is often achieved using (1) an abundant number of ground control points (GCPs), or (2) global navigation satellite system (GNSS) postprocessed kinematic (PPK) georeferencing, which utilizes accurate positioning for captured images and waives the requirement of having GCPs. In addition, GCPs allow for camera self-calibration when accurate camera calibration is not available in advance. This study assesses the impact of GCP number (and their separation distance) on elevation accuracy of sUAS surveys and examines their impact on georeferencing and camera self-calibration. In addition, this study assesses how GNSS-kinematic positioning can enhance georeferencing and camera self-calibration, and reduce the number of required GCPs. sUAS data were collected at the Pennsylvania State University Wilkes-Barre campus and were compared with reference elevation information derived from terrestrial laser scanning and checkpoints collected using total station observations. Two flights with GNSS-kinematic capability at different altitudes were used, namely, flying altitudes of 90 and 50 m (3.8- and 2.2-cm average point spacing, respectively). Scenarios with varying number of GCPs were tested to identify the cases that yield poor elevation accuracy. Based on the scenarios and data of this study, in the GCP-only case, at least 12 GCPs (65-m distance separation) are needed to achieve reliable georeferencing and camera self-calibration for this study area and data. This leads to an elevation accuracy at the centimeter level (1-2 cm). However, in the GNSS-assisted case, the required number of GCPs drops to six (105-m separation distance) in order to achieve the same accuracy level as the GCP-only case. Results and conclusions of this study can aid practitioners in sUAS survey planning.
机译:小型无人机系统(sUAS)的航空图像的地理配准通常使用(1)大量地面控制点(GCP)或(2)全球导航卫星系统(GNSS)后处理运动学(PPK)地理配准来实现精确定位所捕获的图像,并且无需使用GCP。此外,如果事先无法进行精确的相机校准,则GCP可以进行相机自校准。这项研究评估了GCP编号(及其分隔距离)对sUAS测量高程精度的影响,并考察了它们对地理配准和相机自校准的影响。此外,这项研究评估了GNSS运动定位如何增强地理配准和相机自校准,并减少了所需的GCP数量。 sUAS数据是在宾夕法尼亚州立大学Wilkes-Barre校区收集的,并与从地面激光扫描获得的参考海拔信息和使用全站仪观测收集的检查点进行了比较。使用了两个在不同高度具有GNSS运动能力的航班,即90和50 m的飞行高度(分别为3.8和2.2厘米的平均点距)。测试了具有不同数量GCP的方案,以识别导致高程精度不佳的情况。根据本研究的方案和数据,在仅GCP的情况下,至少需要12个GCP(65米距离间隔)才能为该研究区域和数据实现可靠的地理配准和相机自校准。这导致在厘米级别(1-2厘米)的仰角精度。但是,在GNSS辅助的情况下,所需的GCP数量降至六个(分隔距离为105米),以达到与仅GCP情况相同的精度水平。这项研究的结果和结论可以帮助从业人员进行sUAS调查计划。

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