Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W4, 109-115, 2016
https://doi.org/10.5194/isprs-archives-XL-3-W4-109-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
17 Mar 2016
ORIENTATION AND CALIBRATION REQUIREMENTS FOR HYPERPECTRAL IMAGING USING UAVs: A CASE STUDY
A. M. G. Tommaselli1, A. Berveglieri1, R. A. Oliveira1, L. Y. Nagai1, and E. Honkavaara2 1Univ Estadual Paulista, Unesp, Brazil
2Finnish Geospatial Research Institute FGI, Kirkkonummi, Finland
Keywords: Geometric Calibration; Hyperspectral frame cameras; two sensors camera Abstract. Flexible tools for photogrammetry and remote sensing using unmanned airborne vehicles (UAVs) have been attractive topics of research and development. The lightweight hyperspectral camera based on a Fabry-Pérot interferometer (FPI) is one of the highly interesting tools for UAV based remote sensing for environmental and agricultural applications. The camera used in this study acquires images from different wavelengths by changing the FPI gap and using two CMOS sensors. Due to the acquisition principle of this camera, the interior orientation parameters (IOP) of the spectral bands can vary for each band and sensor and changing the configuration also would change these sets of parameters posing an operational problem when several bands configurations are being used. The objective of this study is to assess the impact of use IOPs estimated for some bands in one configuration for other bands of different configuration the FPI camera, considering different IOP and EOP constraints. The experiments were performed with two FPI-hyperspectral camera data sets: the first were collected 3D terrestrial close-range calibration field and the second onboard of an UAV in a parking area in the interior of São Paulo State.
Conference paper (PDF, 983 KB)


Citation: Tommaselli, A. M. G., Berveglieri, A., Oliveira, R. A., Nagai, L. Y., and Honkavaara, E.: ORIENTATION AND CALIBRATION REQUIREMENTS FOR HYPERPECTRAL IMAGING USING UAVs: A CASE STUDY, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W4, 109-115, https://doi.org/10.5194/isprs-archives-XL-3-W4-109-2016, 2016.

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