Development of a real-world sensor-aided target acquisition model based on human visual performance with a Landolt C

H. Lee Task; Alan R. Pinkus; Eric Geiselman

doi:10.1117/12.2017644

23 May 2013 Development of a real-world sensor-aided target acquisition model based on human visual performance with a Landolt C

H. Lee Task, Alan R. Pinkus, Eric Geiselman

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Proceedings Volume 8745, Signal Processing, Sensor Fusion, and Target Recognition XXII; 874510 (2013) https://doi.org/10.1117/12.2017644
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

With the growing number of image-producing sensors in different spectral bands it is often desirable to provide the operational community with an estimation of the level of target acquisition/recognition performance that could be expected for specific scenarios using these sensors. Many target acquisition/recognition models have been developed over the decades to try and predict expected human performance under various conditions. Many of these are relatively complicated and often concentrate on specific aspects, such as search strategies, atmospherics, or sensor parameters while ignoring other factors. This paper describes the development of a simple, high-level target acquisition/recognition model for predicting human performance for a particular class of operationally relevant, time-based scenarios involving sensor-aided viewing. Assumptions and relevant factors considered in developing the model are discussed and the model, in different forms, is presented. Fundamentally, the model is based on previously-collected human visual performance data using images of the Landolt C acuity target recorded using a short-wave infrared sensor, the Johnny Johnson target recognition criteria, and basic scenario parameters. Limited real-world testing of the model has been accomplished.

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H. Lee Task, Alan R. Pinkus, and Eric Geiselman "Development of a real-world sensor-aided target acquisition model based on human visual performance with a Landolt C", Proc. SPIE 8745, Signal Processing, Sensor Fusion, and Target Recognition XXII, 874510 (23 May 2013); https://doi.org/10.1117/12.2017644

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KEYWORDS

Sensors

Visualization

Visual process modeling

Performance modeling

Data modeling

Target recognition

Target detection

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