Threat object identification performance for LADAR imagery; comparison of 2-dimensional versus 3-dimensional imagery

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationInfrared Imaging Systems
Subtitle of host publicationDesign, Analysis, Modeling, and Testing XVII
DOIs
StatePublished - 2006
Externally publishedYes
EventInfrared Imaging Systems: Design, Analysis, Modeling, and Testing XVII - Kissimmee, FL, United States
Duration: Apr 19 2006Apr 20 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6207
ISSN (Print)0277-786X

Conference

ConferenceInfrared Imaging Systems: Design, Analysis, Modeling, and Testing XVII
Country/TerritoryUnited States
CityKissimmee, FL
Period4/19/064/20/06

Keywords

  • 3D
  • LADAR
  • Perception
  • Stereo 3D
  • Threat identification

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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