Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48687
Title: Decision boundaries using Bayes factors: The case of cloud masks
Authors: Murtagh, F.
Barreto, D.
Marcello, J. 
UNESCO Clasification: 250616 Teledetección (Geología)
Keywords: Bayes factor
Bayes information criterion
multiband image
Gaussian mixture model
Segmentation, et al
Issue Date: 2003
Publisher: 0196-2892
Journal: IEEE Transactions on Geoscience and Remote Sensing 
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.
URI: http://hdl.handle.net/10553/48687
ISSN: 0196-2892
DOI: 10.1109/TGRS.2003.819874
Source: IEEE Transactions on Geoscience and Remote Sensing[ISSN 0196-2892],v. 41, p. 2952-2958
Appears in Collections:Comentario
Thumbnail
Adobe PDF (628,57 kB)
Show full item record

SCOPUSTM   
Citations

30
checked on Apr 14, 2024

Page view(s)

62
checked on Jan 24, 2024

Download(s)

142
checked on Jan 24, 2024

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.