Title :
Decision boundaries using Bayes factors: the case of cloud masks
Author :
Murtagh, F. ; Barreto, D. ; Marcello, J.
Author_Institution :
Sch. of Comput. Sci., Queen´´s Univ. Belfast, UK
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.
Keywords :
Bayes methods; atmospheric techniques; clouds; geophysical signal processing; image segmentation; remote sensing; Bayes factors; cloud masks; data product; decision boundaries; multidimensional feature space; spatial segmentation models; Bayesian methods; Clouds; Computer aided software engineering; Decision making; Helium; Image segmentation; Maximum likelihood estimation; Multidimensional systems; Principal component analysis; Testing;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2003.819874