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Evaluating the Geometric Potential of UAV Images with Rigorous and Non-Rigorous Models and Artificial Intelligence
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| Z. Mohammad, S. Sadeghian *, A. Ardekani |
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Abstract: (9678 Views) |
| 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 large-scale 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 non-rigorous modeling with multiple functions , including two-dimensional third- rate residuals of the control points 2 pixels (about 24 cm m ) , respectively |
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| Keywords: UAV images, rigorous model, non-rigours model, artificial intelligence, map |
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Full-Text [PDF 632 kb]
(2374 Downloads)
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Type of Study: Research |
Subject:
Photo&RS
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