19 March 2003 Bayesian Segmentation and Clustering for Determining Cloud Mask Images
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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.
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Dacil Barreto, Dacil Barreto, Fionn D. Murtagh, Fionn D. Murtagh, Javier Marcello, Javier Marcello, "Bayesian Segmentation and Clustering for Determining Cloud Mask Images", Proc. SPIE 4877, Opto-Ireland 2002: Optical Metrology, Imaging, and Machine Vision, (19 March 2003); doi: 10.1117/12.463768; https://doi.org/10.1117/12.463768
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