Triangulated Irregular Network Generation

Triangulated Irregular Network Generation is a geospatial data modeling method that constructs a continuous surface representation by partitioning terrain elevation data into a network of non-overlapping triangles, distinguished from other interpolation techniques through its adaptive triangulation based on irregularly spaced sample points.

34

Publications

1.7K

Citations

110

Authors

56

Institutions

Publications per year

2017–2026

8

Variants

Tin Generation

Authors

110

  1. BY
    Bisheng Yang

    Wuhan University, China

    2 publications · 36 citations

    2

    h-index

  2. WS
    Wenzhong Shi

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 36 citations

    2

    h-index

  3. DM
    David M. McKeown

    Carnegie Mellon University, United States

    2 publications · 44 citations

    2

    h-index

  4. NL
    Norman L. Jones

    McMaster University, Canada

    2 publications · 121 citations

    2

    h-index

  5. MP
    M.F. Polis

    Carnegie Mellon University, United States

    2 publications · 44 citations

    2

    h-index

1–5 of 110

Venues

  1. Remote Sensing

    3 publications · 72 citations

    3

    h-index

  2. 3

    h-index

  3. Computers & Geosciences

    CAGEO · 2 publications · 296 citations

    2

    h-index

  4. Water

    2 publications · 63 citations

    2

    h-index

  5. 1

    h-index

1–5