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Paper
Title

Evaluation of Geometric Accuracy of Unmanned Aerial Vehicle (UAV) Images in 2D and 3D Cases

Year: 1394
COI: JR_CMCE-1-1_005
Language: EnglishView: 371
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Authors

Mohammad Najaftarqi - Department of Civil Engineering, Sirjan University of Technologhy, Sirjan, Iran
Hamid Ezatabadi - Department of Civil Engineering, Sirjan University of Technologhy, Sirjan, Iran

Abstract:

Close-range aerial photogrammetry is a branch of photogrammetry recenly applied in surveying. In imagery by this method, metric cameras are not used in order to reduce costs of map production. Hence, in the geometric correction procedure, one should utilize models which have no need to interior orientation parameters. Also, since the coverage areas of the images is less than those of aerial photogrammetry and remote sensingimages, the number of control points are usually limited. Instead, due to the shortness of height of sensor the height accuracy may be better compared with aerial photogrammetry and remote sensing images. In this research, the images taken by a Nikon D3200 wer used to extract 2D and 3D geometric information. To this end, two-dimensional projective and 2D-hybrid models for the 2D case were used and direct linear transformation models and collinear condition equations with additional parameters were employed for the 3Dcase. Study of the obtained accuracies shows that these images are geometrically suitableto produce planimetric and topographic maps at scale of 1:1000 and smaller scales.

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Paper COI Code

This Paper COI Code is JR_CMCE-1-1_005. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/487531/

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If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Najaftarqi, Mohammad and Ezatabadi, Hamid,1394,Evaluation of Geometric Accuracy of Unmanned Aerial Vehicle (UAV) Images in 2D and 3D Cases,https://civilica.com/doc/487531

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