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    Large area coverage using drone mounted multi-camera systems

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    Author
    Revello, C.
    Driggers, R.
    Brady, D.
    Renshaw, K.
    Affiliation
    Wyant College of Optical Sciences, University of Arizona
    Issue Date
    2022
    Keywords
    cameras
    imagine systems
    remote sensing
    Unmanned aerial vehicles
    
    Metadata
    Show full item record
    Publisher
    SPIE
    Citation
    Revello, C., Driggers, R., Brady, D., & Renshaw, K. (2022). Large area coverage using drone mounted multi-camera systems. Proceedings of SPIE - The International Society for Optical Engineering, 12106.
    Journal
    Proceedings of SPIE - The International Society for Optical Engineering
    Rights
    Copyright © 2022 SPIE.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    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. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
    Note
    Immediate access
    ISSN
    0277-786X
    ISBN
    9781510650886
    DOI
    10.1117/12.2618708
    Version
    Final published version
    ae974a485f413a2113503eed53cd6c53
    10.1117/12.2618708
    Scopus Count
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    UA Faculty Publications

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