Systematic detection of Titan's clouds in Vims/Cassini hyperspectral images using a new automated algorithm

Sébastien Rodriguez; Frédéric Schmidt; Saïd Moussaoui; Stéphane Le Mouélic; Pascal Rannou; Jason W. Barnes; Christophe Sotin; Robert H. Brown; Kevin H. Baines; Bonnie J. Buratti; Roger N. Clark; Phil D. Nicholson

doi:10.1109/WHISPERS.2010.5594893

Systematic detection of Titan's clouds in Vims/Cassini hyperspectral images using a new automated algorithm

Sébastien Rodriguez
, Frédéric Schmidt
, Saïd Moussaoui
, Stéphane Le Mouélic
, Pascal Rannou
, Jason W. Barnes
, Christophe Sotin
, Robert H. Brown
, Kevin H. Baines
, Bonnie J. Buratti
, Roger N. Clark
, Phil D. Nicholson

Lunar and Planetary Lab

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Titan is the Saturn's largest moon where meteorological processes are very active, as observed most recently by the Cassini/Huygens orbiter. Cloud monitoring is a prime method to observe, describe and understand present climate on Titan. Unlike our previous detection method, which was based on manual control of threshold, we investigate here the possibility of a fully automated methodology based on blind source separation to analyzing years of Cassini near-infrared cloud images. Since the spectral signature of Titan clouds are diverse and not known a priori, the choice of a blind source separation seems to be appropriate. Preliminary results show that Titan's cloud detection is possible using the recent implementation of a Bayesian source separation method.

Original language	English (US)
Title of host publication	2nd Workshop on Hyperspectral Image and Signal Processing
Subtitle of host publication	Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program
DOIs	https://doi.org/10.1109/WHISPERS.2010.5594893
State	Published - 2010
Event	2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Reykjavik, Iceland Duration: Jun 14 2010 → Jun 16 2010

Publication series

Name	2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program

Other

Other	2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010
Country/Territory	Iceland
City	Reykjavik
Period	6/14/10 → 6/16/10

Keywords

Blind source separation
Markov chain
Meteorology
Near-infrared
Spectro-imagery
Titan: clouds

ASJC Scopus subject areas

Information Systems
Signal Processing

Access to Document

10.1109/WHISPERS.2010.5594893

Cite this

Rodriguez, S., Schmidt, F., Moussaoui, S., Le Mouélic, S., Rannou, P., Barnes, J. W., Sotin, C., Brown, R. H., Baines, K. H., Buratti, B. J., Clark, R. N., & Nicholson, P. D. (2010). Systematic detection of Titan's clouds in Vims/Cassini hyperspectral images using a new automated algorithm. In 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program Article 5594893 (2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program). https://doi.org/10.1109/WHISPERS.2010.5594893

Systematic detection of Titan's clouds in Vims/Cassini hyperspectral images using a new automated algorithm. / Rodriguez, Sébastien; Schmidt, Frédéric; Moussaoui, Saïd et al.
2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program. 2010. 5594893 (2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Rodriguez, S, Schmidt, F, Moussaoui, S, Le Mouélic, S, Rannou, P, Barnes, JW, Sotin, C, Brown, RH, Baines, KH, Buratti, BJ, Clark, RN & Nicholson, PD 2010, Systematic detection of Titan's clouds in Vims/Cassini hyperspectral images using a new automated algorithm. in 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program., 5594893, 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program, 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010, Reykjavik, Iceland, 6/14/10. https://doi.org/10.1109/WHISPERS.2010.5594893

Rodriguez S, Schmidt F, Moussaoui S, Le Mouélic S, Rannou P, Barnes JW et al. Systematic detection of Titan's clouds in Vims/Cassini hyperspectral images using a new automated algorithm. In 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program. 2010. 5594893. (2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program). doi: 10.1109/WHISPERS.2010.5594893

Rodriguez, Sébastien ; Schmidt, Frédéric ; Moussaoui, Saïd et al. / Systematic detection of Titan's clouds in Vims/Cassini hyperspectral images using a new automated algorithm. 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program. 2010. (2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program).

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AU - Rannou, Pascal

AU - Barnes, Jason W.

AU - Sotin, Christophe

AU - Brown, Robert H.

AU - Baines, Kevin H.

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AB - Titan is the Saturn's largest moon where meteorological processes are very active, as observed most recently by the Cassini/Huygens orbiter. Cloud monitoring is a prime method to observe, describe and understand present climate on Titan. Unlike our previous detection method, which was based on manual control of threshold, we investigate here the possibility of a fully automated methodology based on blind source separation to analyzing years of Cassini near-infrared cloud images. Since the spectral signature of Titan clouds are diverse and not known a priori, the choice of a blind source separation seems to be appropriate. Preliminary results show that Titan's cloud detection is possible using the recent implementation of a Bayesian source separation method.

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Systematic detection of Titan's clouds in Vims/Cassini hyperspectral images using a new automated algorithm

Abstract

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Keywords

ASJC Scopus subject areas

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