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Proceedings Paper • Open Access

Calibration of the venµs super-spectral camera
Author(s): Jeremy Topaz; Tuvia Sprecher; Francesc Tinto; Pierre Echeto; Olivier Hagolle

Paper Abstract

A high-resolution super-spectral camera is being developed by Elbit Systems in Israel for the joint CNES- Israel Space Agency satellite, VENμS (Vegetation and Environment monitoring on a new Micro-Satellite). This camera will have 12 narrow spectral bands in the Visible/NIR region and will give images with 5.3 m resolution from an altitude of 720 km, with an orbit which allows a two-day revisit interval for a number of selected sites distributed over some two-thirds of the earth's surface. The swath width will be 27 km at this altitude. To ensure the high radiometric and geometric accuracy needed to fully exploit such multiple data sampling, careful attention is given in the design to maximize characteristics such as signal-to-noise ratio (SNR), spectral band accuracy, stray light rejection, inter- band pixel-to-pixel registration, etc. For the same reasons, accurate calibration of all the principle characteristics is essential, and this presents some major challenges. The methods planned to achieve the required level of calibration are presented following a brief description of the system design. A fuller description of the system design is given in [2], [3] and [4].

Paper Details

Date Published: 21 November 2017
PDF: 7 pages
Proc. SPIE 10566, International Conference on Space Optics — ICSO 2008, 105660F (21 November 2017); doi: 10.1117/12.2308199
Show Author Affiliations
Jeremy Topaz, Elbit Systems Electro-Optics El-Op Ltd. (Israel)
Tuvia Sprecher, Elbit Systems Electro-Optics El-Op Ltd. (Israel)
Francesc Tinto, Ctr. National d'Études Spatiales (France)
Pierre Echeto, Ctr. National d'Études Spatiales (France)
Olivier Hagolle, Ctr. National d'Études Spatiales (France)


Published in SPIE Proceedings Vol. 10566:
International Conference on Space Optics — ICSO 2008
Josiane Costeraste; Errico Armandillo; Nikos Karafolas, Editor(s)

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