Reconnaissance Applications

Reconnaissance Applications is an operational domain of unmanned aircraft systems that is characterized by the systematic, often covert collection of timely and accurate information about areas, objects, or activities of interest—typically via remote sensing and surveillance—without direct engagement with the observed subjects.

731

Publications

40.9K

Citations

2.7K

Authors

818

Institutions

Publications per year

2017–2026

381

Authors

2.7K

  1. BS
    Bryan S. Morse

    Brigham Young University, United States

    6 publications · 559 citations

    6

    h-index

  2. MA
    Michael A. Goodrich

    Brigham Young University, United States

    6 publications · 559 citations

    6

    h-index

  3. MT
    Michael T. Eismann

    United States Air Force Research Laboratory, United States

    5 publications · 309 citations

    5

    h-index

  4. JL
    Joseph L. Cooper

    The University of Texas at Austin, United States

    4 publications · 521 citations

    4

    h-index

  5. JA
    Julie A. Adams

    Vanderbilt University, United States

    4 publications · 521 citations

    4

    h-index

1–5 of 2.7K

Venues

  1. 18

    h-index

  2. IEEE Access

    20 publications · 3.4K citations

    16

    h-index

  3. Sensors

    19 publications · 699 citations

    15

    h-index

  4. Drones

    14 publications · 942 citations

    14

    h-index

  5. Journal of Intelligent & Robotic Systems

    14 publications · 894 citations

    12

    h-index

1–5