Hyperspectral Classification for Chinese Medicinal Herbs via Multi-Perspective Feature Extraction and Information-Theoretic Fusion.
- DOI
- 10.3390/e28090973
- Published
- 2026 Sep 2
- Container
- Entropy (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/e28090973,
title = {Hyperspectral Classification for Chinese Medicinal Herbs via Multi-Perspective Feature Extraction and Information-Theoretic Fusion.},
author = {Li Z and Huang W and Xu N},
year = {2026},
journal = {Entropy (Basel, Switzerland)},
doi = {10.3390/e28090973},
url = {https://doi.org/10.3390/e28090973}
}RIS
TY - JOUR TI - Hyperspectral Classification for Chinese Medicinal Herbs via Multi-Perspective Feature Extraction and Information-Theoretic Fusion. AU - Li Z AU - Huang W AU - Xu N PY - 2026 JO - Entropy (Basel, Switzerland) DO - 10.3390/e28090973 UR - https://doi.org/10.3390/e28090973 ER -
APA
Z, L., W, H., & N, X. (2026). Hyperspectral Classification for Chinese Medicinal Herbs via Multi-Perspective Feature Extraction and Information-Theoretic Fusion.. Entropy (Basel, Switzerland). https://doi.org/10.3390/e28090973
Source records
- pubmed · retrieved 2026-09-26T23:20:04.766Z