The use of generative artificial intelligence to improve the quality of aerial photography results during complex cadastral works

S. Lozovaya; A. Polyakov; N.V. Shirina; N. S. Ryzhakova

doi:10.30533/GiA-2025-003

VAK Russia 1.6.15 UDC 528.7 CSCSTI 36.23 VAK Russia 1.6.19

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THE USE OF GENERATIVE ARTIFICIAL INTELLIGENCE TO IMPROVE THE QUALITY OF AERIAL PHOTOGRAPHY RESULTS DURING COMPLEX CADASTRAL WORKS The use of generative artificial intelligence to improve the quality of aerial photography results during complex cadastral works

АА Аа

Published in Izvestia Vuzov. Geodesy and Aerophotosurveying · Volume 69, Issue 1 · Pages 36–49 · Rubric: Earth aerospace survey, photogrammetry

DOI: https://doi.org/10.30533/GiA-2025-003

Received: 29.10.2024 Accepted: 21.02.2025 Published: 28.02.2025 Language of publication: RUS

Authors

S. Lozovaya

A. Polyakov

N.V. Shirina

N. S. Ryzhakova

S. Lozovaya

Academic degree: doctor of technical sciences

Belgorod State Technological University named after V.G. Shukhov Belgorod

A. Polyakov

Belgorod State Technological University named after V.G. Shukhov Belgorod

N.V. Shirina

Belgorod State Technological University named after V.G. Shukhov Belgorod

N. S. Ryzhakova

ABSTRACT

Often, images obtained during aerial photography using UAV, due to various reasons, may have low resolution, various noises, smudges, artifacts and distortions, which makes it difficult to decrypt real estate objects and reduces the accuracy of determining their boundaries and areas, thereby increasing the labor costs of performing cadastral work. Based on this, in order to obtain accurate results, it is necessary to provide highquality initial data. Therefore, the possibility of using generative artificial intelligence was investigated in order to improve the quality of images obtained during aerial photography to solve real estate cadastre problems. The article presents the results of applying the machine learning method using generative adversarial networks. The study was carried out on the materials obtained during the complex cadastral works with the help of UAV. The results of processing the initial aerial photographs in the modified generative adversarial network Real-ESRGAN are presented. Photogrammetric processing of improved aerial photographs was performed, an orthophotoplan and a three-dimensional terrain model were created. The analysis of the processed images and the orthophotoplane obtained from them is carried out. The relevance and importance of using this technology is due to the tasks of providing the real estate cadastre with high-quality source data.

KEYWORDS

aerial photography, unmanned aerial vehicles, precision, generative network, orthophotoplane, complex cadastral works

Funding

Rabota provedena v nauchno-issledovatel'skoy laboratorii bespilotnyh i geoinformacionnyh sistem v sfere distancionnogo monitoringa BGTU im. V.G. Shuhova v ramkah temy gosudarstvennogo zadaniya № FZWN-2024-0011 «Razrabotka adaptivno-variativnogo kompleksa bespilotnyh aviacionnyh sistem dlya infrastrukturnyh zadach na osnove cifrovyh dvoynikov».

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Lozovaya S. Y., Polyakov A. I., Shirina N., Ryzhakova N. S. The use of generative artificial intelligence to improve the quality of aerial photography results during complex cadastral works // Izvestia Vuzov. Geodesy and Aerophotosurveying. 2025. no. 1. pp. 36-49. DOI: https://doi.org/10.30533/GiA-2025-003. (Date of access 13.10.2026).

MLA

S. Lozovaya, Polyakov A. I., Shirina N., Ryzhakova N. S.. "The use of generative artificial intelligence to improve the quality of aerial photography results during complex cadastral works." Izvestia Vuzov. Geodesy and Aerophotosurveying 69.1 (2025): 36-49. DOI: https://doi.org/10.30533/GiA-2025-003.

APA

Lozovaya S. Y., Polyakov A. I., Shirina N., Ryzhakova N. S. (2025). The use of generative artificial intelligence to improve the quality of aerial photography results during complex cadastral works. Izvestia Vuzov. Geodesy and Aerophotosurveying, 69(1), 36-49. https://doi.org/10.30533/GiA-2025-003

Chicago

S. Lozovaya, Polyakov A. I., Shirina N., Ryzhakova N. S.. "The use of generative artificial intelligence to improve the quality of aerial photography results during complex cadastral works." Izvestia Vuzov. Geodesy and Aerophotosurveying 69, no. 1 (2025): 36-49. https://doi.org/10.30533/GiA-2025-003.

WIKI

{{cite journal | author = Lozovaya S. Y., Polyakov A. I., Shirina N., Ryzhakova N. S. | title = The use of generative artificial intelligence to improve the quality of aerial photography results during complex cadastral works | journal = Izvestia Vuzov. Geodesy and Aerophotosurveying | year = 2025 | volume = 69 | issue = 1 | pages = 36-49 | doi = 10.30533/GiA-2025-003 }}

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THE USE OF GENERATIVE ARTIFICIAL INTELLIGENCE TO IMPROVE THE QUALITY OF AERIAL PHOTOGRAPHY RESULTS DURING COMPLEX CADASTRAL WORKS The use of generative artificial intelligence to improve the quality of aerial photography results during complex cadastral works

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