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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publication2nd Workshop on Hyperspectral Image and Signal Processing
Subtitle of host publicationEvolution in Remote Sensing, WHISPERS 2010 - Workshop Program
DOIs
StatePublished - Nov 29 2010
Event2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Reykjavik, Iceland
Duration: Jun 14 2010Jun 16 2010

Publication series

Name2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program

Other

Other2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010
CountryIceland
CityReykjavik
Period6/14/106/16/10

Keywords

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

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

Fingerprint Dive into the research topics of 'Systematic detection of Titan's clouds in Vims/Cassini hyperspectral images using a new automated algorithm'. Together they form a unique fingerprint.

  • 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 [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