Assessing the georeferencing accuracy of different amount of image stripes for linear UAV projects

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Abstract

At present, the results of photogrammetric processing of images obtained from UAVs (orthophoto mosaics, digital elevation models, etc.) are widely used for environmental studies. Such materials are especially relevant and in demand for environmental monitoring of hard-to-reach objects. In addition, UAV survey materials are indispensable for impact monitoring, in which observation, assessment and forecast of the state of the natural environment in areas where hazardous and potentially hazardous (NPP) sources of anthropogenic impact are located are carried out. Regardless of the method of georeferencing of images - direct or indirect - the accuracy of the generated product is evaluated by ground control points. The purpose of this study is to assess the accuracy of photogrammetric constructions depending on the number of strips when surveying linear objects from UAVs and on the number of control points used in indirect georeferencing. Five groups of experiments were carried out during the study, three in each group with a different number of strips (from one to three). Five groups are conventionally combined into two sections. In the first section, direct and indirect georeferencing techniques were used with three locally located control points. In the second section, the method of indirect georeferencing was used with a different number of ground control points: six, twelve and thirty-four. Estimates of the accuracy of various tests have shown that an increase in the number of strips does not always lead to an increase in accuracy.

About the authors

Amr Mahmoud El Sheshtawy

State University of Land Use Planning; Al-Azhar University

Author for correspondence.
Email: amrshesht82@gmail.com
ORCID iD: 0000-0003-0668-2375

PhD student, Department of Remote Sensing and Digital Cartography, State University of Land Use Planning; teacher, Civil Engineering Department, Faculty of Engineering in Cairo, Al-Azhar University

15 Kazakova St, Moscow, 105064, Russian Federation; 15 Mohammed Abdou St, El-Darb El-Ahmar, Cairo Governorate, Arab Republic of Egypt

Anatoly N. Limonov

State University of Land Use Planning

Email: limonov.anatoly@gmail.com
ORCID iD: 0000-0002-4382-5200

Candidate of Technical Sciences, Associate Professor, Professor, Department of Remote Sensing and Digital Cartography

15 Kazakova St, Moscow, 105064, Russian Federation

Larisa A. Gavrilova

State University of Land Use Planning

Email: gavrilova.a.larisa@gmail.com
ORCID iD: 0000-0002-7095-3224

Candidate of Technical Sciences, Associate Professor, Dean, Faculty of Urban Cadaster

15 Kazakova St, Moscow, 105064, Russian Federation

Mohamed A. Elshewy

State University of Land Use Planning; Al-Azhar University

Email: mimoelshewy@gmail.com
ORCID iD: 0000-0001-8367-207X

PhD student, Department of Geodesy and Geoinformatics, State University of Land Use Planning; teacher, Civil Engineering Department, Faculty of Engineering in Cairo, Al-Azhar University

15 Kazakova St, Moscow, 105064, Russian Federation; 15 Mohammed Abdou St, El-Darb El-Ahmar, Cairo Governorate, Arab Republic of Egypt

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Copyright (c) 2020 El Sheshtawy A.M., Limonov A.N., Gavrilova L.A., Elshewy M.A.

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