Abstract

Abstract. The continuous development of sensors, methods and technologies in the modern digital photogrammetry requires testing the quality and accuracy of software, processing workflow and products. The paper presents a new test field for performance analysis of software processing and accuracy assessment of photogrammetric 2D and 3D data collection, mapping, 3D object reconstruction and modeling based on low-altitude imagery with particular regard to unmanned aerial vehicles imagery. The first experiment was carried out using images captured by Phase One iXU-RS 1000 medium format aerial digital camera and Light Detection and Ranging (LiDAR) point cloud acquired by RIEGL LMS-Q680i airborne laser scanner. The process of complex digital processing was performed in Agisoft Metashape packages. The subblock of 169 images and 16 signalized ground points measured by Global Navigation Satellite Systems in the WGS 84 coordinate system using the Real-Time Network method were adopted in the preliminary investigations. The root mean square error RMSEXYZ on check points in the bundle block adjustment was equal to 0.032 m. Vertical deviations between digital elevation model and LiDAR point clouds belong to the range from −0.020 m to 0.020 m which is related to RIEGL LMS-Q680i accuracy and precision. Georeferenced orthomosaic was generated with ground sampling distance (GSD) equal to 0.020 m, which was the same as the GSD of input images. The high accuracy of obtained processing results is related to accuracy of initial data, and it proves the usefulness of Kortowo test field.

Highlights

  • In the last few years, there has been a rapid development of sensors and innovative image processing techniques in digital photogrammetry and computer vision

  • The Kortowo test field was designed and created to evaluate the photogrammetric software and the accuracy of photogrammetric products based on low-altitude imagery with particular regard to unmanned aerial vehicles (UAVs) imagery

  • High resolution (100 megapixels) images (GSD = 2 cm) captured by Phase One iXU-RS 1000 medium format aerial digital camera and Light Detection and Ranging (LiDAR) point cloud (25 pts/m2) acquired using RIEGL LMS-Q680i airborne scanner were used in the first experiment

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Summary

INTRODUCTION

In the last few years, there has been a rapid development of sensors (various spectral range) and innovative image processing techniques in digital photogrammetry and computer vision. Current researches are concerning the accuracy evaluation of UAV-based photogrammetric 2D and 3D data collection and large-scale mapping They were realized in incomparable technical conditions of projects and using various statistical parameters for results assessment (Barry, Coakley, 2013; James et al, 2017b) relating to the particular stages of the processing (James et al, 2017a; Mesas-Carrascosa et al, 2016; Murtiyoso et al, 2018). The paper focuses on presenting the test field and the first results of data collection based on images captured through medium format aerial digital camera and point cloud acquired using an airborne laser scanner

KORTOWO TEST FIELD
Flight mission and data acquisition
TEST AND ANALYSES
Bundle Block Adjustment
Digital Elevation Model and orthomosaic
CONCLUSIONS
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