Bayesian segmentation and clustering for determining cloud mask images

Dacil Barreto; Fionn D. Murtagh; Javier Marcello

doi:10.1117/12.463768

19 March 2003 Bayesian Segmentation and Clustering for Determining Cloud Mask Images

Dacil Barreto, Fionn D. Murtagh, Javier Marcello

Proceedings Volume 4877, Opto-Ireland 2002: Optical Metrology, Imaging, and Machine Vision; (2003) https://doi.org/10.1117/12.463768
Event: OPTO Ireland, 2002, Galway, Ireland

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.

Citation Download Citation

Dacil Barreto, Fionn D. Murtagh, and 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); https://doi.org/10.1117/12.463768

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