Machine learning water quality inversion via optimal band selection from highly correlated subsets
- DOI
- 10.1016/j.isci.2026.117027
- Published
- 2026-08
- Container
- iScience
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.isci.2026.117027,
title = {Machine learning water quality inversion via optimal band selection from highly correlated subsets},
author = {Xiaonan Yang and Jiansheng Wang and Li Sun and Songjia Zhang and Kun Ding and Zhiping He and Qingli Li},
year = {2026},
journal = {iScience},
doi = {10.1016/j.isci.2026.117027},
url = {https://doi.org/10.1016/j.isci.2026.117027}
}RIS
TY - JOUR TI - Machine learning water quality inversion via optimal band selection from highly correlated subsets AU - Xiaonan Yang AU - Jiansheng Wang AU - Li Sun AU - Songjia Zhang AU - Kun Ding AU - Zhiping He AU - Qingli Li PY - 2026 JO - iScience DO - 10.1016/j.isci.2026.117027 UR - https://doi.org/10.1016/j.isci.2026.117027 ER -
APA
Yang, X., Wang, J., Sun, L., Zhang, S., Ding, K., He, Z., & Li, Q. (2026). Machine learning water quality inversion via optimal band selection from highly correlated subsets. iScience. https://doi.org/10.1016/j.isci.2026.117027
Source records
- crossref · retrieved 2026-09-25T22:06:44.744Z