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

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Abstract

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.

Original languageEnglish (US)
Article number04019007
JournalJournal of Surveying Engineering
Volume145
Issue number3
DOIs
StatePublished - Aug 1 2019

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering

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