Architectural Feature Detection

Architectural Feature Detection is a remote sensing method that identifies and delineates structural elements of cultural heritage sites, such as walls, roofs, and openings, by analyzing spatial, spectral, and geometric patterns in imagery to distinguish them from surrounding non-architectural or natural features.

141

Publications

5.5K

Citations

410

Authors

182

Institutions

Publications per year

2017–2026

78

Authors

410

  1. RN
    R. Nevatia

    University of Southern California, United States

    4 publications · 529 citations

    4

    h-index

  2. FT
    Florence Tupin

    Télécom Paris, France

    3 publications · 182 citations

    3

    h-index

  3. MG
    M. Gerke

    University of Twente, Netherlands

    3 publications · 136 citations

    3

    h-index

  4. GV
    George Vosselman

    University of Twente, Netherlands

    3 publications · 136 citations

    3

    h-index

  5. LD
    L. Denise

    Thales (France), France

    2 publications · 54 citations

    2

    h-index

1–5 of 410