Blast Pattern Detection

Blast Pattern Detection is a computational method in machine vision for mining that identifies and analyzes the spatial arrangement of drilled holes and explosive charges in rock faces to assess blasting efficiency and structural integrity.

29

Publications

1.5K

Citations

104

Authors

57

Institutions

Publications per year

2017–2026

15

Authors

104

  1. XL
    Xibing Li

    Central South University, China

    3 publications · 465 citations

    3

    h-index

  2. DV
    D. Vydeki

    Vellore Institute of Technology University, India

    2 publications · 167 citations

    2

    h-index

  3. FS
    Fangyu Shu

    Jiangsu University, China

    1 publications · 36 citations

    1

    h-index

  4. SW
    Sang Wu Kim

    Iowa State University, United States

    1 publications · 25 citations

    1

    h-index

  5. GH
    George H. Woodman

    University of Warwick, United Kingdom

    1 publications · 13 citations

    1

    h-index

1–5 of 104

Venues

  1. International Journal of Laboratory Hematology

    IJLH · 2 publications · 48 citations

    2

    h-index

  2. Tunnelling and Underground Space Technology

    2 publications · 66 citations

    2

    h-index

  3. Soil Dynamics and Earthquake Engineering

    2 publications · 130 citations

    2

    h-index

  4. Journal of Seismology

    2 publications · 45 citations

    2

    h-index

  5. Journal of Phytology

    1 publications · 68 citations

    1

    h-index

1–5