Measuring the quality of information: a metric for military intelligence, surveillance, and reconnaissance (ISR)

Ronald T. Kessel

doi:10.1117/12.541315

12 April 2004 Measuring the quality of information: a metric for military intelligence, surveillance, and reconnaissance (ISR)

Ronald T. Kessel

Author Affiliations +

Proceedings Volume 5433, Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI; (2004) https://doi.org/10.1117/12.541315
Event: Defense and Security, 2004, Orlando, Florida, United States

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.

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Ronald T. Kessel "Measuring the quality of information: a metric for military intelligence, surveillance, and reconnaissance (ISR)", Proc. SPIE 5433, Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI, (12 April 2004); https://doi.org/10.1117/12.541315

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