Advanced Semi-Automatic Approach for Identifying Damaged Surfaces in Cultural Heritage Sites: Integrating UAVs, Photogrammetry, and 3D Data Analysis
Caciora T. Ilieș A. Herman G.V. Berdenov Z. Safarov B. Bilalov B. Ilieș D.C. Baias Ș. Hassan T.H.
August 2024Multidisciplinary Digital Publishing Institute (MDPI)
Remote Sensing
2024#16Issue 16
The analysis and preservation of the cultural heritage sites are critical for maintaining their historical and architectural integrity, as they can be damaged by various factors, including climatic, geological, geomorphological, and human actions. Based on this, the present study proposes a semi-automatic and non-learning-based method for detecting degraded surfaces within cultural heritage sites by integrating UAV, photogrammetry, and 3D data analysis. A 20th-century fortification from Romania was chosen as the case study due to its physical characteristics and state of degradation, making it ideal for testing the methodology. Images were collected using UAV and terrestrial sensors and processed to create a detailed 3D point cloud of the site. The developed pipeline effectively identified degraded areas, including cracks and material loss, with high accuracy. The classification and segmentation algorithms, including K-means clustering, geometrical features, RANSAC, and FACETS, improved the detection of destructured areas. The combined use of these algorithms facilitated a detailed assessment of the structural condition. This integrated approach demonstrated that the algorithms have the potential to support each other in minimizing individual limitations and accurately identifying degraded surfaces. Even though some limitations were observed, such as the potential for the overestimation of false negatives and positives areas, the damaged surfaces were extracted with high precision. The methodology proved to be a practical and economical solution for cultural heritage monitoring and conservation, offering high accuracy and flexibility. One of the greatest advantages of the method is its ease of implementation, its execution speed, and the potential of using entirely open-source software. This approach can be easily adapted to various heritage sites, significantly contributing to their protection and valorization.
3D data analysis , algorithms , cultural heritage , degradation detection , photogrammetry , point cloud processing , structural analysis
Text of the article Перейти на текст статьи
Department of Geography, Tourism and Territorial Planning, Faculty of Geography, Tourism and Sport, University of Oradea, 1 Universitatii Street, Oradea, 410087, Romania
Faculty of Science, L.N. Gumilyov Eurasian National University, 2 Satpayev Street, Nur-Sultan, 010008, Kazakhstan
Department of Digital Economy, Samarkand State University, Samarkand, 140105, Uzbekistan
Department of Tourism Business, Azerbaijan University of Tourism and Management, Baku, 1172, Azerbaijan
Social Studies Department, College of Arts, King Faisal University, Al Ahsa 31982, Saudi Arabia
Tourism Studies Department, Faculty of Tourism and Hotel Management, Helwan University, Cairo, 12612, Egypt
Department of Geography
Faculty of Science
Department of Digital Economy
Department of Tourism Business
Social Studies Department
Tourism Studies Department
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026