Hyperspectral Sorting

Hyperspectral Sorting is a non-invasive ore sorting technique that uses hyperspectral imaging to classify and separate mineral particles based on their diagnostic spectral reflectance signatures across numerous narrow, contiguous wavelength bands.

25

Publications

1K

Citations

116

Authors

38

Institutions

Publications per year

2017–2026

17

Authors

116

  1. WS
    Wouter Saeys

    KU Leuven, Belgium

    3 publications · 153 citations

    3

    h-index

  2. SL
    Santosh Lohumi

    Chungnam National University, South Korea

    2 publications · 57 citations

    2

    h-index

  3. JK
    Janos Keresztes

    KU Leuven, Belgium

    2 publications · 118 citations

    2

    h-index

  4. ZL
    Zhenye Li

    Capital Medical University, China

    2 publications · 71 citations

    2

    h-index

  5. CN
    Chao Ni

    Nanjing Forestry University, China

    2 publications · 71 citations

    2

    h-index

1–5 of 116

Venues

  1. Food Control

    2 publications · 44 citations

    2

    h-index

  2. Journal of Spectral Imaging

    2 publications · 75 citations

    2

    h-index

  3. Food Research International

    2 publications · 70 citations

    2

    h-index

  4. Minerals

    1 publications · 12 citations

    1

    h-index

  5. Applied Sciences

    1 publications · 40 citations

    1

    h-index

1–5