Blunder Detection

Blunder Detection is a methodological procedure within geodetic network analysis that identifies gross errors or significant observational inaccuracies through statistical testing and residual analysis to ensure data integrity and adjustment reliability.

23

Publications

698

Citations

56

Authors

19

Institutions

Publications per year

2017–2026

3

Variants

Gross Error Detection

Authors

56

  1. RT
    Rodney Teo

    National University of Singapore, Singapore

    2 publications · 69 citations

    2

    h-index

  2. HL
    Haiyu Lan

    University of Calgary, Canada

    2 publications · 40 citations

    2

    h-index

  3. YL
    You Li

    Wuhan University, China

    2 publications · 40 citations

    2

    h-index

  4. CJ
    Claire J. Tomlin

    University of California, Berkeley, United States

    2 publications · 69 citations

    2

    h-index

  5. NE
    Naser El‐Sheimy

    University of Calgary, Canada

    2 publications · 40 citations

    2

    h-index

1–5 of 56

Venues

  1. Journal of Surveying Engineering

    4 publications · 106 citations

    4

    h-index

  2. Remote Sensing

    2 publications · 37 citations

    2

    h-index

  3. 2

    h-index

  4. GPS world

    1 publications · 12 citations

    1

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 1 publications · 10 citations

    1

    h-index

1–5