Threat object identification performance for LADAR imagery: comparison of two-dimensional versus three-dimensional imagery

Matthew A. Chaudhuri; Ronald G. Driggers; Brian C. Redman; Keith A. Krapels

doi:10.1117/12.663660

15 May 2006 Threat object identification performance for LADAR imagery: comparison of two-dimensional versus three-dimensional imagery

Matthew A. Chaudhuri, Ronald G. Driggers, Brian C. Redman, Keith A. Krapels

Author Affiliations +

Proceedings Volume 6207, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVII; 62070F (2006) https://doi.org/10.1117/12.663660
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

This research was conducted to determine the change in human observer range performance when LADAR imagery is presented in stereo 3D vice 2D. It compares the ability of observers to correctly identify twelve common threatening and non-threatening single-handed objects (e.g. a pistol versus a cell phone). Images were collected with the Army Research Lab/Office of Naval Research (ARL/ONR) Short Wave Infrared (SWIR) Imaging LADAR. A perception experiment, utilizing both military and civilian observers, presented subjects with images of varying angular resolutions. The results of this experiment were used to create identification performance curves for the 2D and 3D imagery, which show probability of identification as a function of range. Analysis of the results indicates that there is no evidence of a statistically significant difference in performance between 2D and 3D imagery.

Citation Download Citation

Matthew A. Chaudhuri, Ronald G. Driggers, Brian C. Redman, and Keith A. Krapels "Threat object identification performance for LADAR imagery: comparison of two-dimensional versus three-dimensional imagery", Proc. SPIE 6207, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVII, 62070F (15 May 2006); https://doi.org/10.1117/12.663660

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KEYWORDS

LIDAR

3D image processing

Electro optical modeling

Imaging systems

Sensors

Systems modeling

Thermal modeling

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