Image-based Pollen Recognition

Image-Based Pollen Recognition is a computational method that identifies pollen species through the analysis of microscopic images by extracting and classifying morphological features unique to pollen grains.

37

Publications

1.6K

Citations

179

Authors

75

Institutions

Publications per year

2017–2026

22

Authors

179

  1. BC
    Benoît Crouzy

    Federal Office of Meteorology and Climatology MeteoSwiss, Switzerland

    4 publications · 308 citations

    4

    h-index

  2. BC
    Bernard Clot

    Federal Office of Meteorology and Climatology MeteoSwiss, Switzerland

    4 publications · 308 citations

    4

    h-index

  3. JR
    J. R. Flenley

    Massey University, New Zealand

    3 publications · 189 citations

    3

    h-index

  4. MP
    Marko Panić

    BioSense Institute, Serbia

    2 publications · 137 citations

    2

    h-index

  5. GL
    Gian-Duri Lieberherr

    Federal Office of Meteorology and Climatology MeteoSwiss, Switzerland

    2 publications · 171 citations

    2

    h-index

1–5 of 179

Venues

  1. Machine Vision and Applications

    2 publications · 62 citations

    2

    h-index

  2. Review of Palaeobotany and Palynology

    2 publications · 165 citations

    2

    h-index

  3. Atmospheric measurement techniques

    2 publications · 277 citations

    2

    h-index

  4. Sensors

    2 publications · 64 citations

    2

    h-index

  5. Environmental Research

    1 publications · 80 citations

    1

    h-index

1–5