Visual Performance Model Analysis of Human Performance in IR Target Recognition for Third Generation FLIR
Abstract
The eventual goal of this research is to develop a method that emulates human vision and hence is consistently able to predict human performance in target detection/recognition/identification tasks. The model used for simulating human visual performance is the OptiMetrics' developed Visual Performance Model (VPM). With the inclusion of proper calibration parameters, any visual or thermal spectrum sensor can be modeled with VPM. This modeling capability will yield a design tool, which economically allows comparison of various types of sensors and displays, and eliminates the need for many operator tests of prototype devices. This will result in better system designs and may shorten the acquisition cycle for target acquisition systems. A previous research effort compared detectability (d') values resulting from laboratory target detection experiments with those predicted by VPM for first generation (1st Gen) FLIR imagery. Good correlation between VPM predictions and human operator experiments was obtained. This report documents VPM'sd' predictions for third generation (3rd Gen) FLIR imagery. Laboratory d' results for the 3rd Gen imagery were not available at the time main text was written, however, those experimental values are documented in an appendix. The d' values calculated by VPM agree well with the 3rd Gen experimental values. Based on that comparison, it appears that VPM is a valuable tool for prediction sensor and display performance.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 1999
- Accession Number
- ADA395596
Entities
People
- Allyn W. Dunstan
- Frederick G. Smith
- Michael D. Dunkel