DocumentCode
860015
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
Volume
41
Issue
12
fYear
2003
Firstpage
2952
Lastpage
2958
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;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2003.819874
Filename
1260635
Link To Document