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http://hdl.handle.net/10553/48689
| Title: | Bayesian segmentation and clustering for determining cloud mask images | Authors: | Barreto, D. Murtagh, F. Marcello, J. |
UNESCO Clasification: | 250616 Teledetección (Geología) | Keywords: | Bayes factor multiband image Markov model Gaussian mixture model Segmentation, et al |
Issue Date: | 2002 | Journal: | Proceedings of SPIE - The International Society for Optical Engineering | Conference: | Opto-Ireland 2002: Optical metrology, Imaging, and Machine Vision | 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. | URI: | http://hdl.handle.net/10553/48689 | ISSN: | 0277-786X | DOI: | 10.1117/12.463768 | Source: | Proceedings of SPIE - The International Society for Optical Engineering[ISSN 0277-786X],v. 4877, p. 144-155 |
| Appears in Collections: | Actas de congresos |
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