Publication Details

Noise reduction in asteroid imaging using a miniaturized spectral imager

WOLFMAYR Monika, KAŠPÁREK Tomáš and KOHOUT Tomáš et al. Noise reduction in asteroid imaging using a miniaturized spectral imager. In: Proceedings Volume 11858, Sensors, Systems, and Next-Generation Satellites XXV; 118580P (2021). Proceedings of SPIE - The International Society for Optical Engineering, vol. 11858. -: SPIE - the international society for optics and photonics, 2021, pp. 1-13. ISBN 978-1-5106-4560-8.
Czech title
Redukce šumu pro snímkování asteroidu miniaturizovanou hyperspektrální kamerou
Type
conference paper
Language
english
Authors
Wolfmayr Monika ()
Kašpárek Tomáš, Ing., Ph.D. (DCGM FIT BUT)
and others
Keywords

Denoising, Imaging systems, Asteroids, Signal to noise ratio, Image quality, Digital filtering, Hyperspectral imaging, Gaussian filters, Fabry-Perot interferometers

Abstract

In October 2024, European Space Agencys Hera mission will be launched, targeting the binary asteroid Didymos. Hera will host the Juventas and Milani CubeSats, the first CubeSats to orbit close to a small celestial body performing scientific and technological operations. The primary scientific payload of the Milani CubeSat is the SWIR, NIR, and VIS imaging spectrometer ASPECT. The Milani mission objectives include mapping the global composition and the characterization of the binary asteroid surface. Onboard data processing and evaluation steps will be applied due to the limited data budget for the downlink to Earth and to perform the technological demonstration of a novel semi-autonomous hyperspectral imaging mission. Before downloading, the image data is evaluated in terms of sharpness and coverage and processed by compression. The challenges and their proposed solutions for the data processing part of the mission are investigated through studies. Since most noise contributors are unknown until Milani is activated, different noises are studied based on previous missions and derived from hyperspectral images taken in a laboratory environment mimicking the real-life situation. The hyperspectral camera technology in the laboratory is similar to the one used in the ASPECT imager payload. Both ASPECT and the imagers utilized in our measurements are based on employing a Fabry-Pérot interferometer as an adjustable transmission filter. The imagers are also designed and built by the same party, the Technical Research Centre of Finland (VTT). Best performing denoising techniques for each noise type are discussed on the one hand for the entire datacubes and on the other hand for the spatial domain only since the mission includes images taken only at specific wavebands. The advantage of applying denoising for the whole datacube comes from the internal dependencies between the wavebands, allowing efficient processing. A trade-off study for several noise reduction algorithms is presented. The goal is to implement efficient image processing algorithms with low computational complexity, securing the successful execution of the mission.

Published
2021
Pages
1-13
Proceedings
Proceedings Volume 11858, Sensors, Systems, and Next-Generation Satellites XXV; 118580P (2021)
Series
Proceedings of SPIE - The International Society for Optical Engineering
Volume
11858
Conference
SPIE Remote Sensing 2021, on-line, ES
ISBN
978-1-5106-4560-8
Publisher
SPIE - the international society for optics and photonics
Place
-, ES
DOI
EID Scopus
BibTeX
@INPROCEEDINGS{FITPUB12587,
   author = "Monika Wolfmayr and Tom\'{a}\v{s} Ka\v{s}p\'{a}rek and Tom\'{a}\v{s} Kohout and et al.",
   title = "Noise reduction in asteroid imaging using a miniaturized spectral imager",
   pages = "1--13",
   booktitle = "Proceedings Volume 11858, Sensors, Systems, and Next-Generation Satellites XXV; 118580P (2021)",
   series = "Proceedings of SPIE - The International Society for Optical Engineering",
   volume = 11858,
   year = 2021,
   location = "-, ES",
   publisher = "SPIE - the international society for optics and photonics",
   ISBN = "978-1-5106-4560-8",
   doi = "10.1117/12.2600201",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12587"
}
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