Increasing the contrast and accuracy of localization of objects of interest on orthophotomaps of the terrain built from distorted images from an unmanned aerial vehicle
https://doi.org/10.25206/1813-8225-2024-189-119-126
EDN: HCQVEU
Abstract
In this article, we will consider and compare methods for eliminating distortions in the original images obtained from an unmanned aerial vehicle. The main goal of these methods is to increase the contrast and accuracy of determining the coordinates of objects of interest relative to the background. To conduct the study, aerial work is performed, during which initial images of the underlying surface with different exposure times are obtained, as well as data from the unmanned aerial vehicle navigation module. Further, cameral processing of the received materials is carried out. The exact centers for photographing each image are calculated and orthophotomaps of the area are built. Then we have evaluated the contrast and accuracy of determining the coordinates of objects of interest relative to the background on the orthophotomaps of the area built from the original and restored images using various methods.
Keywords
terrain orthomosaic,
image,
accuracy,
contrast,
object of interest,
distortion,
unmanned aerial vehicle
Supporting agencies: The study is supported by the Russian Science Foundation grant No. 21-79-10200 at TUSUR.
About the Authors
A. S. Zakhlebin
Tomsk State University of Control Systems and Radioelectronics
Russian Federation
Russian Federation
Zakhlebin Aleksandr Sergeyevich, Candidate of Technical Sciences, Assistant of Television and Management Department, Junior Researcher of Laboratory of Television Automation
AuthorID (RSCI): 976293
Tomsk
M. I. Kuryachiy
Tomsk State University of Control Systems and Radioelectronics
Russian Federation
Russian Federation
Kuryachiy Mikhail Ivanovich, Candidate of Technical Sciences, Associate Professor of Television and Management Department, Senior Researcher of Laboratory of Television Automation
AuthorID (RSCI): 530114
AuthorID (SCOPUS): 56926935000
Tomsk
V. V. Kapustin
Tomsk State University of Control Systems and Radioelectronics
Russian Federation
Russian Federation
Kapustin Vyacheslav Valeryevich, Candidate of Technical Sciences, Associate Professor of Television and Management Department, Head of Laboratory of Television Automation
AuthorID (RSCI): 897739
AuthorID (SCOPUS): 56926934100
Tomsk
A. V. Kamenskiy
Tomsk State University of Control Systems and Radioelectronics
Russian Federation
Russian Federation
Kamenskiy Andrey Viktorovich, Candidate of Technical Sciences, Associate Professor of Television and Management Department, Associate Professor of Digital Television Department
AuthorID (RSCI): 1057825
AuthorID (SCOPUS): 57191031758
Tomsk
A. K. Movchan
Tomsk State University of Control Systems and Radioelectronics
Russian Federation
Russian Federation
Movchan Andrey Kirillovich, Candidate of Technical Sciences, Associate Professor of Television and Management Department, Junior Researcher of Laboratory of Television Automation
AuthorID (RSCI): 975781
AuthorID (SCOPUS): 57203239393
Tomsk
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Review
For citations:
Zakhlebin AS, Kuryachiy MI, Kapustin VV, Kamenskiy AV, Movchan AK. Increasing the contrast and accuracy of localization of objects of interest on orthophotomaps of the terrain built from distorted images from an unmanned aerial vehicle. Omsk Scientific Bulletin. 2024;(1):119-126. (In Russ.) https://doi.org/10.25206/1813-8225-2024-189-119-126. EDN: HCQVEU
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