ORIENTATION AND CALIBRATION REQUIREMENTS FOR HYPERPECTRAL IMAGING USING UAVs: A CASE STUDY

Abstract

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.

A Study on the Variations of Inner Orientation Parameters of a Hyperspectral Frame Camera

“…The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-1, 2018 ISPRS TC I Mid-term Symposium "Innovative Sensing -From Sensors to Methods and Applications", 10-12 October 2018, Karlsruhe, Germany After image acquisition, the ARUCO targets were automatically located in all image bands of all cubes and their corners were automatically measured with subpixel precision (Garrido-Jurado et al, 2014;Silva et al, 2014;Tommaselli et al, 2016).…”

Exterior Orientation of Hyperspectral Frame Images Collected With Uav for Forest Applications

“…Previously the camera was configured to acquire data cubes with twenty five spectral bands, more details in Tommaselli et al (2015). The images were collected from several camera stations in the calibration field using different positions and rotations to avoid correlation between IOPs and EOPs.…”

Uas Based Tree Species Identification Using the Novel Fpi Based Hyperspectral Cameras in Visible, Nir and Swir Spectral Ranges

“…The second one collects data in SWIR (shortwave infrared) areas (1100-1600 nm) and it was developed by VTT. The VNIR (visible and near-infrared) camera is completely new prototype; in contrast to previous versions operating in the wavelength range of 500-900 nm Honkavaara et al, 2013;Näsi et al, 2015;Oliveira et al, 2016;Tommaselli et al, 2016), the new camera covers range of 400-1000 nm. The SWIR camera has been experimented in recent studies by Mannila et al (2014) and Honkavaara et al (2016), but is used for the first time in the forested environment.…”