Terrain Object Recognition

Terrain Object Recognition is a computational method that identifies and classifies distinct physical entities within a segmented terrain by analyzing spatial patterns, spectral signatures, and contextual features to differentiate objects of interest from their surrounding environment.

20

Publications

616

Citations

68

Authors

24

Institutions

Publications per year

2017–2026

7

Authors

68

  1. GR
    Giulio Reina

    University of Salento, Italy

    2 publications · 116 citations

    2

    h-index

  2. TS
    Tod S. Levitt

    Decision Systems (United States), United States

    2 publications · 40 citations

    2

    h-index

  3. AM
    Annalisa Milella

    National Research Council, Italy

    2 publications · 116 citations

    2

    h-index

  4. DT
    Daryl T. Lawton

    University of Massachusetts Amherst, United States

    2 publications · 40 citations

    2

    h-index

  5. CC
    Christopher C. McConnell

    Decision Systems (United States), United States

    2 publications · 40 citations

    2

    h-index

1–5 of 68

Venues

  1. Robotics and Autonomous Systems

    2 publications · 53 citations

    2

    h-index

  2. Journal of Terramechanics

    2 publications · 81 citations

    2

    h-index

  3. Sensors

    1 publications · 60 citations

    1

    h-index

  4. 1

    h-index

  5. Pattern Recognition

    1 publications · 23 citations

    1

    h-index

1–5