Validation of an infrared sensor model with field collected imagery of unresolved unmanned aerial vehicle (UAV) targets

H. Gemar, R. Driggers, G. Tener, C. Halford, N. Fudala, J. Hewitt, R. Short, T. Pace, D. Manville, D. Shelton, M. Theisen, D. Gaudiosi, C. Olson

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

1 Scopus citations

Abstract

An IR sensor model is validated using experimentally derived peak pixel SNR versus range for detection of either an unresolved or a resolved UAV target. The model provided estimated time-averaged peak SNR values for the ranges used in the field collection. A MWIR camera and a LWIR camera provided the measured data. Commercially available UAVs were flown along a line from the cameras to a clear sky region for background. A laser range finder measured the range at seven stopping points along the path. The data resulted in five ranges of unresolved target information for the MWIR camera and four ranges for the LWIR camera. This paper provides details for using the data collected from the model to match the cameras used in the field collection. Also, the processing used to extract peak SNR versus range from imagery is presented.

Original languageEnglish (US)
Title of host publicationInfrared Imaging Systems
Subtitle of host publicationDesign, Analysis, Modeling, and Testing XXX
EditorsGerald C. Holst, Keith A. Krapels
PublisherSPIE
ISBN (Electronic)9781510626676
DOIs
StatePublished - 2019
Externally publishedYes
EventInfrared Imaging Systems: Design, Analysis, Modeling, and Testing XXX 2019 - Baltimore, United States
Duration: Apr 16 2019Apr 18 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11001
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceInfrared Imaging Systems: Design, Analysis, Modeling, and Testing XXX 2019
Country/TerritoryUnited States
CityBaltimore
Period4/16/194/18/19

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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