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Proceedings Paper

Measuring the quality of information: a metric for military intelligence, surveillance, and reconnaissance (ISR)
Author(s): Ronald T. Kessel
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Paper Abstract

Remote sensing is valuable for ISR insofar as it provides information relevant to the detection, classification, identification, and tracking of one or more targets of interest. A new system-level measure of the quality of ISR is given here. By combining information and detection theory, the measure gives a quantitative estimate of the relative proportions of reliable (good), misleading (bad), and missing information. Being probabilistic, the measure can be used to assess the quality of day-to-day surveillance, or to estimate the quality expected for more narrowly defined and speculative scenarios. The measure is intended for use in a cost-benefit study of sorts, comparing the quality of different sensors or mixes of sensors for ISR. The quality metric is demonstrated here using a maritime interdiction scenario from maritime ISR.

Paper Details

Date Published: 12 April 2004
PDF: 11 pages
Proc. SPIE 5433, Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI, (12 April 2004); doi: 10.1117/12.541315
Show Author Affiliations
Ronald T. Kessel, Defence R&D Canada--Atlantic (Canada)

Published in SPIE Proceedings Vol. 5433:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI
Belur V. Dasarathy, Editor(s)

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