lidar: lidar Bayesian Network

In bnRep: A Repository of Bayesian Networks from the Academic Literature

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.

bnRep documentation built on April 12, 2025, 1:13 a.m.