Image Quality Assessment of UAV Simulator Imagery Based on Different Orthomosaic Maps

Drone imagery orthomosaic maps allow for the investigation of landscape features and change over time. However, there are dangers and obstacles associated with drone flight, particularly when testing large-scale drone mapping technologies. New mapping techniques can be tested in simulators without involving actual flights. This research validates different types of maps and compares them with genuine landscape maps to evaluate an orthomosaic simulation platform. Measures of efficiency and accuracy are employed to evaluate the fidelity of the maps produced by the simulator. The capacity of the simulator to imitate various camera payloads can be understood from the spectral signature match between simulated and real maps. Before being deployed to actual drones, this work highlights the value of simulation for quick, low-risk testing of advancements in drone sensor technology and mapping algorithms.