Decision boundaries using Bayes factors: The case of cloud masks

F. Murtagh, D. Barreto, J. Marcello

Research output: Contribution to journalLetter

28 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 languageEnglish
Pages (from-to)2952-2958
Number of pages7
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume41
Issue number12 PART II
DOIs
Publication statusPublished - 1 Dec 2003
Externally publishedYes

Fingerprint Dive into the research topics of 'Decision boundaries using Bayes factors: The case of cloud masks'. Together they form a unique fingerprint.

  • Cite this