Image-based Lithology Classification

Image-Based Lithology Classification is a computational method that identifies and categorizes rock types from visual data by analyzing pixel-level features and spatial patterns in geological images through machine learning or deep learning techniques.

94

Publications

4K

Citations

337

Authors

139

Institutions

Publications per year

2017–2026

72

Authors

337

  1. CA
    Carlos A. Perez

    Mallinckrodt (United States), United States

    4 publications · 125 citations

    4

    h-index

  2. QR
    Quan Ren

    Hohai University, China

    4 publications · 204 citations

    4

    h-index

  3. MH
    Majid H. Tangestani

    Shiraz University, Iran

    4 publications · 97 citations

    4

    h-index

  4. HS
    Heng Shi

    Shandong Transportation Research Institute, China

    3 publications · 226 citations

    3

    h-index

  5. HZ
    Hongbing Zhang

    Hohai University, China

    3 publications · 127 citations

    3

    h-index

1–5 of 337