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.
Highlights
Environmental mapping and monitoring of forest areas have been greatly facilitated with the use of Unmanned Aerial Vehicles (UAV) carrying imaging sensors, like hyperspectral cameras
The main aim of this paper is to present an experimental assessment of the bundle block adjustment (BBA) and on-the job calibration (OJC) performed with different spectral bands of the hyperspectral frame camera (Rikola), using interior orientation parameters (IOP) estimated by close range terrestrial calibration
The aim of this study was to assess the use of a lightweight hyperspectral camera based on a Fabry-Pérot interferometer (FPI) with photogrammetric techniques
Summary
Environmental mapping and monitoring of forest areas have been greatly facilitated with the use of Unmanned Aerial Vehicles (UAV) carrying imaging sensors, like hyperspectral cameras. One example of frame based hyperspectral cameras is the Rikola camera (Rikola Ltd., 2015), which acquires a sequence of images in different spectral bands, with frame geometry This camera uses a technology based on a tuneable FabryPerot Interferometer (FPI), which is placed into the lens system to collimate the light that transmits the spectral bands as a function of the interferometer air gap (Saari et al, 2009). Alternatives are hyperspectral cameras which grab twodimensional frame format images based on tuneable filters (Saari et al, 2009; Lapray et al, 2014; Aasen et al, 2015) Some of these cameras acquire the image cube as a time dependent image sequence (Honkavaara et al, 2013) whilst others grab the entire cube at the same time, but at the cost of having low resolution images (Aasen et al, 2015). The wavelengths transmitted through the interferometer are dependent on the FPI gap (Mäkynen et al, 2011)
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