Hyperspectral Inspection

Hyperspectral Inspection is a non-destructive analytical method that distinguishes itself from other inspection techniques by leveraging hyperspectral imaging to capture and analyze spatial-spectral data across numerous contiguous electromagnetic bands for detecting material anomalies and compositional variations in industrial applications.

164

Publications

9.2K

Citations

631

Authors

203

Institutions

Publications per year

2017–2026

76

Authors

631

  1. KC
    Kuanglin Chao

    Agricultural Research Service, United States

    10 publications · 525 citations

    10

    h-index

  2. MS
    Moon S. Kim

    Agricultural Research Service, United States

    9 publications · 348 citations

    9

    h-index

  3. DE
    Diane E. Chan

    Agricultural Research Service, United States

    9 publications · 799 citations

    9

    h-index

  4. JL
    Jiangbo Li

    Beijing Automation Control Equipment Institute, China

    8 publications · 480 citations

    8

    h-index

  5. WH
    Wenqian Huang

    National Engineering Research Center for Information Technology in Agriculture, China

    8 publications · 449 citations

    8

    h-index

1–5 of 631

Venues

  1. 10

    h-index

  2. Computers and Electronics in Agriculture

    8 publications · 605 citations

    8

    h-index

  3. Sensors

    8 publications · 185 citations

    8

    h-index

  4. Journal of Food Engineering

    7 publications · 884 citations

    7

    h-index

  5. Postharvest Biology and Technology

    7 publications · 455 citations

    7

    h-index

1–5