Accession Number:

ADA474551

Title:

A Model for Situation and Threat Assessment

Descriptive Note:

Corporate Author:

CALSPAN UB RESEARCH CENTER DERWOOD MD

Personal Author(s):

Report Date:

2006-12-01

Pagination or Media Count:

39.0

Abstract:

A model is presented for situation and threat assessment, with a goal of advancing the state of the art in representing, recognizing and discovering situations and, in particular, threat situations. The activity relates to levels 2 and 3 of the familiar JDL data fusion model. Level 2, Situation Assessment, involves such applications as scene understanding, force structure analysis and many other types of situational analysis. Level 3, Impact Assessment includes, besides threat assessment as level 3 was originally named, course of action analysis and outcome prediction. Data fusion is the process of estimating or predicting some aspect of the world. Specifically, the data fusion process of Situation Assessment has the job of estimating or predicting situations. A situation can be defined very broadly as any structure part of reality Devlin, 1991. In that structural analysis involves an assessment of the element of an entity in their relation to one another, Situation Assessment involves a inferring relationships, b inferring the states of elements on the basis of estimates of their relationships, and c recognizing or classifying situations on the basis of estimates of constituent elements and their relationships. In that the last of these is a recognitionclassification problem, we should expect to have some similarity to target recognition and classification i.e. the matching of data to prior models a deductive process. As in target recognitionclassification, this dependency on prior models presumes a process for generating, evaluating and selecting such models. These are characteristically abductive i.e. explanatory and inductive processes.

Subject Categories:

  • Military Operations, Strategy and Tactics
  • Target Direction, Range and Position Finding

Distribution Statement:

APPROVED FOR PUBLIC RELEASE