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AERIAL TRIANGULATION ACCURACY ASSESSMENT FOR TWO STRIPS OF UAV IMAGES WITH DIFFERENT SIDE-LAP PERCENTAGES

Amr El Sheshtawy, Larisa Gavrilova, Anatoly N. Limonov, V.I. Nilipovskiy

First published: 2021-12-20https://doi.org/10.5593/sgem2021/2.1/s10.59View metrics

Abstract

Even with technological development, small formats have been introduced with a photogrammetry technology that offers numerous benefits. The digital imagery for the small-format camera, installed on the lightweight platform, such as Unmanaged Aerial Vehicles (UAV), currently can be extracted from digital maps. The geometry of the Georeferenced Digital Surface Model (DSM), obtained from UAVs, is a multiplex of factors such as flight configuration, camera performance, camera calibration, and SfM algorism. The overlap percentages which decide the number of images and strips covering the area of interest are an important factor in flight planning. Consequently, this research aims to reduce time consumption during the acquisition of images as well as in data processing by investigating the effect on georeferencing accuracy of the reduction in the sidelap percentage for two strips of UAV images.

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Publication details

Title
AERIAL TRIANGULATION ACCURACY ASSESSMENT FOR TWO STRIPS OF UAV IMAGES WITH DIFFERENT SIDE-LAP PERCENTAGES
Authors
Amr El Sheshtawy, Larisa Gavrilova, Anatoly N. Limonov, V.I. Nilipovskiy
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 21st SGEM International Multidisciplinary Scientific GeoConference Proceedings 2021, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2021
Pages
477-484
SWS Citekey
ElSheshtawy202110477484
ISSN
1314-2704
ISBN
978-619-7603-62-0
Language
en
Publication type
Conference Paper
Keywords
UAVLinear ProjectsOverlapGeoreferencingAccuracy assessment
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