Bayesian Networks for Raster Data (BayNeRD): Plausible Reasoning from Observations

Bayesian Networks for Raster Data (BayNeRD): Plausible Reasoning from Observations

This paper describes the basis functioning and implementation of a computer-aided Bayesian Network (BN) method that is able to incorporate experts’ knowledge for the benefit of remote sensing applications and other raster data analyses: Bayesian Network for Raster Data (BayNeRD). Using a case study...

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Bibliographic Details
Main Authors: Marcio Pupin Mello, Joel Risso, Clement Atzberger, Paul Aplin, Edzer Pebesma, Carlos Antonio Oliveira Vieira, Bernardo Friedrich Theodor Rudorff
Format: Article
Language:English
Published: MDPI AG 2013-11-01
Series:Remote Sensing
Subjects:
Belief network
weights of evidence
remote sensing
ancillary data
soybean mapping
Online Access:http://www.mdpi.com/2072-4292/5/11/5999

Internet

http://www.mdpi.com/2072-4292/5/11/5999

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