Evaluating the Geometric Potential of UAV Images with Rigorous and Non-Rigorous Models and Artificial Intelligence

UAV aerial digital images have many applications in spatial information extraction, map revision and mapping. The purpose of geometric correction methods for evaluating research UAV aerial digital images include: rigorous models, the implementation of the whole process of photogrammetry aerial camera calibration step to triangulation and adjustment in several stages, the preparation of largescale ortho photo blueprints to, including the models to implement, the non-rigours models (the two-dimensional polynomial transform, Affine, second and third degree, fraction functions, convert, primarily)and the use of artificial intelligence and computer modeling to determine the exact position of the side effects of using a map is provided. The best results of the implementation of the rigorous modeling in order for the Ms thaty x (0.2105m), y (0.2856m) and the best results of the nonrigorous modeling with multiple functions, including two-dimensional third- rate residuals of the control points 2 pixels (about 24 cm m), respectively.