A Refined Rotation Forest-Based Ensemble Classifier for Lithological Mapping with ZY1-02D Hyperspectral Remote Sensing Imagery.

Xi J, Gao H, Zang W, Zhao X, Liu M, Li B

DOI: 10.3390/s26113340
Published: 2026 May 25
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26113340,
  title = {A Refined Rotation Forest-Based Ensemble Classifier for Lithological Mapping with ZY1-02D Hyperspectral Remote Sensing Imagery.},
  author = {Xi J and Gao H and Zang W and Zhao X and Liu M and Li B},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26113340},
  url = {https://doi.org/10.3390/s26113340}
}

RIS

TY  - JOUR
TI  - A Refined Rotation Forest-Based Ensemble Classifier for Lithological Mapping with ZY1-02D Hyperspectral Remote Sensing Imagery.
AU  - Xi J
AU  - Gao H
AU  - Zang W
AU  - Zhao X
AU  - Liu M
AU  - Li B
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26113340
UR  - https://doi.org/10.3390/s26113340
ER  -

APA

J, X., H, G., W, Z., X, Z., M, L., & B, L. (2026). A Refined Rotation Forest-Based Ensemble Classifier for Lithological Mapping with ZY1-02D Hyperspectral Remote Sensing Imagery.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26113340

Source records

pubmed · retrieved 2026-11-10T07:38:52.312Z