Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 817-821, 2016
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/817/2016/
doi:10.5194/isprs-archives-XLI-B1-817-2016
 
06 Jun 2016
CALIBRATION OF LOW COST RGB AND NIR UAV CAMERAS
A. Fryskowska, M. Kedzierski, A. Grochala, and A. Braula Department of Remote Sensing and Photogrammetry, Faculty of Civil Engineering and Geodesy, Military University of Technology, 2 Kaliskiego str. Warsaw, Poland
Keywords: calibration, non-metric camera, calibration tests, GRD, GSD, low-cost cameras Abstract. Non-metric digital cameras are being widely used for photogrammetric studies. The increase in resolution and quality of images obtained by non-metric cameras, allows to use it in low-cost UAV and terrestrial photogrammetry. Imagery acquired with non-metric cameras can be used in 3D modeling of objects or landscapes, reconstructing of historical sites, generating digital elevation models (DTM), orthophotos, or in the assessment of accidents.

Non-metric digital camcorders are characterized by instability and ignorance of the interior orientation parameters. Therefore, the use of these devices requires prior calibration. Calibration research was conducted using non-metric camera, different calibration tests and various software.

The first part of the paper contains a brief theoretical introduction including the basic definitions, like the construction of non-metric cameras or description of different optical distortions. The second part of the paper contains cameras calibration process, details of the calibration methods and models that have been used. Sony Nex 5 camera calibration has been done using software: Image Master Calib, Matlab - Camera Calibrator application and Agisoft Lens. For the study 2D test fields has been used. As a part of the research a comparative analysis of the results have been done.

Conference paper (PDF, 864 KB)


Citation: Fryskowska, A., Kedzierski, M., Grochala, A., and Braula, A.: CALIBRATION OF LOW COST RGB AND NIR UAV CAMERAS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 817-821, doi:10.5194/isprs-archives-XLI-B1-817-2016, 2016.

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