Visible, SWIR, and LWIR Drone Wide Area Coverage Sensor Systems

Patrick Leslie, Emily Chau, Thomas Watson, Orges Furxhi, Eddie Jacobs, Ronald Driggers, Joseph Conroy

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

Abstract

Small Unmanned Aerial Systems (sUAS) provide a versatile platform for covering large areas quickly. By adding sensors to these drones, imagery of large areas can be taken for a variety of applications. Traditionally, a fixed staring system or a gimballed sensor is used to take this imagery. Both options require a compromise between field of view (FOV), resolution, scanning speed and flight path to properly perform the task at hand. With more than one type of sensing, additional information can be collected about imaged environments. If more than one sensor is integrated onto the drone, a wide FOV can still be covered without a scanning gimbal and with higher resolution than a traditional wide FOV system. Presented is a multi-camera, multi-wavelength design approach based on a constraining ground sample distance (GSD) for a wide area coverage (WAC) system. A figure of merit (FoM) is created to quantify and compare the performance of the WAC systems in the visible (0.4-0.7um), short wave infrared (1.0-1.7um) and longwave infrared (8-14um) in both good and bad visibility conditions. The performance of three optimized and fabricated WAC systems are compared and tested. The testing results of the flown fabricated systems show that the design approach described delivers the expected results.

Original languageEnglish (US)
Title of host publicationInfrared Imaging Systems
Subtitle of host publicationDesign, Analysis, Modeling, and Testing XXXIV
EditorsGerald C. Holst, David P. Haefner
PublisherSPIE
ISBN (Electronic)9781510661806
DOIs
StatePublished - 2023
EventInfrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIV 2023 - Orlando, United States
Duration: May 3 2023May 4 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12533
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceInfrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIV 2023
Country/TerritoryUnited States
CityOrlando
Period5/3/235/4/23

Keywords

  • Infrared
  • Multiple Sensors
  • Photogrammetry
  • Targeting
  • Wide Area Coverage

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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