Bayesian Inference for Radar Imagery Based Surveillance
This work addresses the need for automated interpretation in military surveillance, but it appears incremental as it applies existing Bayesian methods to a specific domain without claiming major breakthroughs.
The paper tackles the problem of interpreting radar imagery for military surveillance by developing a system that computes certainty or belief in conclusions based on available evidence, using Bayesian inference to produce likely interpretations of possible military situations.
We are interested in creating an automated or semi-automated system with the capability of taking a set of radar imagery, collection parameters and a priori map and other tactical data, and producing likely interpretations of the possible military situations given the available evidence. This paper is concerned with the problem of the interpretation and computation of certainty or belief in the conclusions reached by such a system.