Decision support using SAR and LiDAR machine learning target classification and Bayesian belief networks.
An object of class bn.fit. Refer to the documentation of bnlearn for details.
A discrete Bayesian network to compute posterior event probabilities for sample analyst scenarios. Probabilities were given within the referenced paper. The vertices are:
(Routine, Unusual);
(Routine, Unusual);
(Routine, Unusual);
(High, Low);
(High, Low);
(True, False);
(True, False);
(High, Low);
(High, Low);
Bogart, C., Solorzano, L., & Lam, S. (2022, May). Decision support using SAR and LiDAR machine learning target classification and Bayesian belief networks. In Geospatial Informatics XII (Vol. 12099, pp. 28-36). SPIE.