lidar {bnRep} | R Documentation |
lidar Bayesian Network
Description
Decision support using SAR and LiDAR machine learning target classification and Bayesian belief networks.
Format
A discrete Bayesian network to compute posterior event probabilities for sample analyst scenarios. Probabilities were given within the referenced paper. The vertices are:
- ActivityIndustrialArea
(Routine, Unusual);
- ActivitySiteA
(Routine, Unusual);
- ActivitySiteB
(Routine, Unusual);
- ThunderstormsA
(High, Low);
- ThunderstormsB
(High, Low);
- TrafficUnusualEvent
(True, False);
- UsualRushHourTraffic
(True, False);
- VehicleDensityA
(High, Low);
- VehicleDensityB
(High, Low);
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
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.
[Package bnRep version 0.0.1 Index]