The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-2/W13
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 1701–1707, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-1701-2019
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 1701–1707, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-1701-2019

  05 Jun 2019

05 Jun 2019

RELIABILITY OF THE GEOMETRIC CALIBRATION OF AN HYPERSPECTRAL FRAME CAMERA

M. A. Musci1,2, I. Aicardi1,2, P. Dabove1,2, and A. M. Lingua1,2 M. A. Musci et al.
  • 1DIATI, Politecnico di Torino, Torino, Italy, 10124 Corso Duca degli Abruzzi,24 Torino, Italy
  • 2PIC4SeR, Politecnico di Torino Interdepartmental Centre for Service Robotics, Torino, Italy

Keywords: Camera Calibration, Hyperspectral Frame Camera, Fabry–Perot Interferometer, Photogrammetry

Abstract. One of the main tools for high resolution remote sensing and photogrammetry is the lightweight hyperspectral frame camera, that is used in several application areas such as precision agriculture, forestry, and environmental monitoring. Among these types of sensors, the Rikola (which is based on a Fabry–Perot interferometer (FPI) and produced by Senop) is one of the latest innovations. Due to its internal geometry, there are several issues to be addressed for the appropriate definition and estimation of the inner orientation parameters (IOPs). The main problems concern the possibility to change every time the sequence of the bands and to assess the reliability of the IOPs. This work focuses the attention on the assessment of the IOPs definition for each sensor, considering the impact of environmental conditions (e.g., different time, exposure, brightness) and different configurations of the FPI camera, in order to rebuild an undistorted hypercube for image processing and object estimation. The aim of this work is to understand if the IOPs are stable over the time and if and which bands can be used as reference for the calculation of the inner parameters for each sensor, considering different environmental configurations and surveys, from terrestrial to aerial applications. Preliminary performed tests showed that the focal length percentage variation among the bands of different experiments is around 1%.