Decision boundaries using Bayes factors: The case of cloud masks

F. Murtagh; D. Barreto; J. Marcello

doi:10.1109/TGRS.2003.819874

Decision boundaries using Bayes factors: The case of cloud masks

F. Murtagh, D. Barreto, J. Marcello

Research output: Contribution to journal › Letter › peer-review

30 Citations (Scopus)

Abstract

We assess the use of an approximation to the Bayes factor for objectively assessing spatial segmentation models. The Bayes factor allows us to automatically determine thresholds, in multidimensional feature space, for such objectives as cloud mask definition. We compare our results with a cloud map currently provided as a data product.

Original language	English
Pages (from-to)	2952-2958
Number of pages	7
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	41
Issue number	12 PART II
DOIs	https://doi.org/10.1109/TGRS.2003.819874
Publication status	Published - 1 Dec 2003
Externally published	Yes

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10.1109/TGRS.2003.819874

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abstract = "We assess the use of an approximation to the Bayes factor for objectively assessing spatial segmentation models. The Bayes factor allows us to automatically determine thresholds, in multidimensional feature space, for such objectives as cloud mask definition. We compare our results with a cloud map currently provided as a data product.",

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KW - Bayes information criterion (BIC)

KW - Gaussian mixture model

KW - Markov model

KW - Model selection

KW - Multiband image

KW - Potts prior

KW - Principal components analysis

KW - Segmentation

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SN - 0196-2892

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Decision boundaries using Bayes factors: The case of cloud masks

Abstract

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