Validation of infrared sensor model with field-collected imagery of unresolved unmanned aerial vehicle targets

Heath Gemar; Ronald G. Driggers; Gene Tener; Carl Halford; Nicolette Fudala; Jennifer Hewitt; Robert Short; Teresa Pace; Drew Manville; David Shelton; Michael Theisen; David Gaudiosi; Craig Olson

doi:10.1117/1.OE.58.5.053107

Validation of infrared sensor model with field-collected imagery of unresolved unmanned aerial vehicle targets

Heath Gemar, Ronald G. Driggers, Gene Tener, Carl Halford, Nicolette Fudala, Jennifer Hewitt, Robert Short, Teresa Pace, Drew Manville, David Shelton, Michael Theisen, David Gaudiosi, Craig Olson

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

An infrared (IR) sensor model is validated using experimentally derived peak pixel signal-to-noise ratio (SNR) versus range for detection of either an unresolved or a resolved unmanned aerial vehicle (UAV) target. The model provided estimates the time-averaged peak SNR values for the ranges used in the field collection. A mid-wave infrared (MWIR) camera and a long-wave infrared (LWIR) camera provided the measured data. Commercially available UAVs are flown along a line from the cameras to a clear sky region for background. A laser range finder measures the range at seven stopping points along the path. The data result in five ranges of unresolved target information for the MWIR camera and in four ranges for the LWIR camera. We provide 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 language	English (US)
Article number	053107
Journal	Optical Engineering
Volume	58
Issue number	5
DOIs	https://doi.org/10.1117/1.OE.58.5.053107
State	Published - May 1 2019
Externally published	Yes

Keywords

LWIR
MWIR
infrared sensors
infrared systems
modeling
unresolved unmanned aerial vehicles
validation

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
General Engineering

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title = "Validation of infrared sensor model with field-collected imagery of unresolved unmanned aerial vehicle targets",

abstract = "An infrared (IR) sensor model is validated using experimentally derived peak pixel signal-to-noise ratio (SNR) versus range for detection of either an unresolved or a resolved unmanned aerial vehicle (UAV) target. The model provided estimates the time-averaged peak SNR values for the ranges used in the field collection. A mid-wave infrared (MWIR) camera and a long-wave infrared (LWIR) camera provided the measured data. Commercially available UAVs are flown along a line from the cameras to a clear sky region for background. A laser range finder measures the range at seven stopping points along the path. The data result in five ranges of unresolved target information for the MWIR camera and in four ranges for the LWIR camera. We provide 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.",

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AU - Gemar, Heath

AU - Driggers, Ronald G.

AU - Tener, Gene

AU - Halford, Carl

AU - Fudala, Nicolette

AU - Hewitt, Jennifer

AU - Short, Robert

AU - Pace, Teresa

AU - Manville, Drew

AU - Shelton, David

AU - Theisen, Michael

AU - Gaudiosi, David

AU - Olson, Craig

N1 - Publisher Copyright: © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

PY - 2019/5/1

Y1 - 2019/5/1

N2 - An infrared (IR) sensor model is validated using experimentally derived peak pixel signal-to-noise ratio (SNR) versus range for detection of either an unresolved or a resolved unmanned aerial vehicle (UAV) target. The model provided estimates the time-averaged peak SNR values for the ranges used in the field collection. A mid-wave infrared (MWIR) camera and a long-wave infrared (LWIR) camera provided the measured data. Commercially available UAVs are flown along a line from the cameras to a clear sky region for background. A laser range finder measures the range at seven stopping points along the path. The data result in five ranges of unresolved target information for the MWIR camera and in four ranges for the LWIR camera. We provide 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.

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Validation of infrared sensor model with field-collected imagery of unresolved unmanned aerial vehicle targets

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Keywords

ASJC Scopus subject areas

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