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
Parents
25
Online Sorting of the Film on Cotton Based on Deep Learning and Hyperspectral Imaging
Chao Ni, Zhenye Li, Xiong Zhang et al. · IEEE Access · 2020 · 56 citations · Full text
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KU Leuven
Leuven, Belgium
3 h-index
12 publications
692 citations
Universitat de Lleida
Lleida, Spain
2 h-index
8 publications
280 citations

Nanjing Forestry University
Nanjing, China
2 h-index
11 publications
411 citations
Chungnam National University
Daejeon, South Korea
2 h-index
7 publications
257 citations

Delft University of Technology
Delft, The Netherlands
2 h-index
4 publications
92 citations
University of Maryland, College Park
College Park, United States
1 h-index
1 publications
56 citations

China Tobacco
Jinrongjie, China
1 h-index
2 publications
30 citations

Università degli Studi della Tuscia
Viterbo, Italy
1 h-index
4 publications
204 citations
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2 publications · 44 citations
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2 publications · 75 citations
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2 publications · 70 citations
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1 publications · 12 citations
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1 publications · 40 citations
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