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Proceedings Paper

Bayesian segmentation and clustering for determining cloud mask images
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Paper Abstract

We assess both marginal density clustering, and spatial clustering using a Markov random field, on multiband Earth observation data. We use a Bayes factor assessment procedure in all cases. We find that the spatial model leads to better results, although the non-spatial clustering achieves a better false alarm rate.

Paper Details

Date Published: 19 March 2003
PDF: 12 pages
Proc. SPIE 4877, Opto-Ireland 2002: Optical Metrology, Imaging, and Machine Vision, (19 March 2003); doi: 10.1117/12.463768
Show Author Affiliations
Dacil Barreto, Queen's Univ. Belfast (United Kingdom)
Univ. de Las Palmas de Gran Canaria (Spain)
Fionn D. Murtagh, Queen's Univ. Belfast (United Kingdom)
Javier Marcello, Univ. de Las Palmas de Gran Canaria (Spain)


Published in SPIE Proceedings Vol. 4877:
Opto-Ireland 2002: Optical Metrology, Imaging, and Machine Vision
Andrew Shearer; Fionn D. Murtagh; James Mahon; Paul F. Whelan, Editor(s)

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