Impact of Different GNSS Solutions on UAS-SfM Vertical Accuracy for Shoreline Charting | IEEE Conference Publication | IEEE Xplore

Impact of Different GNSS Solutions on UAS-SfM Vertical Accuracy for Shoreline Charting


Abstract:

Uncrewed aircraft system (UAS)-based structure-from-motion / multi-view stereo (SfM/MVS) photogrammetry (referred to as UAS-SfM) provides an efficient means for dense 3D ...Show More

Abstract:

Uncrewed aircraft system (UAS)-based structure-from-motion / multi-view stereo (SfM/MVS) photogrammetry (referred to as UAS-SfM) provides an efficient means for dense 3D mapping of terrain and land cover at local geographic scales. For geospatial applications, UAS-acquired imagery must be accurately georeferenced before the desired mapping products are generated. The traditional method entails a network of precisely surveyed ground control points; referred to as indirect georeferencing. Though accurate, this process is tedious and unsuitable for UAS surveying of some shorelines and remote areas. This study examines the accuracy and repeatability of three different global navigation satellite system (GNSS) solutions for direct georeferencing of UAS imagery: real-time kinematic (RTK), post-processed kinematic (PPK), and precise point positioning (PPP). Specifically, the study evaluates whether these techniques can achieve a UAS-SfM point cloud vertical positional accuracy within 50 cm at the 95% confidence level for shoreline mapping and charting purposes. UAS-SfM field experiments relying on RTK and PPK consistently yielded root mean square errors within 10 cm, whereas PPP showed promising results but was unable to meet the accuracy requirements. Evaluation of baseline distance and sample rate on PPK solutions showed that the best accuracies are achievable when using base stations located within 30 km from the survey site, and the PPK fix percentage is influenced by the base station observation rate.
Date of Conference: 16-21 July 2023
Date Added to IEEE Xplore: 20 October 2023
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Conference Location: Pasadena, CA, USA

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