Large area coverage using drone mounted multi-camera systems

Charles Revello, Ronald Driggers, David Brady, Kyle Renshaw

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

1 Scopus citations


The recent advancements in commercial drone performance and capability have seen their use in private industries proliferate. In terms of large area coverage, low-flying drones can accomplish the same tasks as larger unmanned aerial vehicles (UAVs) and small manned aircraft. Traditional methods of capturing this imagery, including single wide field of view (WFOV) cameras and gimbal-mounted systems, can be replaced by small camera arrays. Single WFOV lenses deliver poor resolution at the ground level. Similarly, the use of a narrow field of view (NFOV) lens would necessitate the use of a gimbal, a pivoted support used in camera stabilization-yielding a heavier, more expensive system that relies on additional moving parts. By utilizing multiple lightweight sensors, large area coverage while maintaining good ground sample resolution can be achieved as well as promise a more robust system. This paper will explore the creation and testing of one such system, describe a means by which more advanced systems can be developed, and introduce a metric so as to compare its performance against various modeled systems.

Original languageEnglish (US)
Title of host publicationInfrared Imaging Systems
Subtitle of host publicationDesign, Analysis, Modeling, and Testing XXXIII
EditorsGerald C. Holst, David P. Haefner
ISBN (Electronic)9781510650886
StatePublished - 2022
EventInfrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIII 2022 - Virtual, Online
Duration: Jun 6 2022Jun 12 2022

Publication series

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


ConferenceInfrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIII 2022
CityVirtual, Online


  • Unmanned aerial vehicles
  • cameras
  • imagine systems
  • remote sensing

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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