Health Monitoring and Assessment of the Cultural Monument Through Unmanned Aerial Vehicle (UAV) Image Processing

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Abstract

Geoinformatics system is the decisive and efficient tool for monitoring, detecting, and evaluating the physical state of all buildings and infrastructures. Nowadays, numerous and diversified remote sensing data are available, various approaches are developed, techniques are designed, established, and reported for health monitoring of any kind of building. In the field of remote sensing, mechanism known as unmanned aerial vehicle (UAV) photogrammetry is getting popular these days to assess damages in physical infrastructure because of its several advantages over other platforms of photogrammetry, i.e., aerial photogrammetry, close-range photogrammetry, and terrestrial photogrammetry. UAV has fast data acquisition, real-time capability, and much flexible with its orientation which makes UAV more appropriate for health monitoring and health assessment of buildings, monuments, and all physical infrastructures. This paper is to present the monitoring and assessment of a cultural monument’s health by processing multiple UAV images and then analyzing its output. Assessing health of a cultural/heritage site is required to document, preserve, and conserve it which is as important as the significance of our heritage. Cultural heritage endows people a linking to certain convivial values, credence, religions, and levies. The ultimate requirement of any conservation plan for them is considerate the object and accumulating data about its corporeal condition before any act and intercession that might transform the object. In this paper, orthomosaic photo obtained through processing of UAV images is analyzed via textural and spectral classification to evaluate the physical health damage occurred to a cultural monument posterior a heavy earthquake.