A Spectral-Index-Aligned Transfer-Learning Approach for Automated Plantation Segmentation in High-Resolution Remote-Sensing Imagery.
- DOI
- 10.3390/plants15172688
- Published
- 2026 Sep 1
- Container
- Plants (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/plants15172688,
title = {A Spectral-Index-Aligned Transfer-Learning Approach for Automated Plantation Segmentation in High-Resolution Remote-Sensing Imagery.},
author = {Liu R and Liu T and Xia Y and Wang P and He M},
year = {2026},
journal = {Plants (Basel, Switzerland)},
doi = {10.3390/plants15172688},
url = {https://doi.org/10.3390/plants15172688}
}RIS
TY - JOUR TI - A Spectral-Index-Aligned Transfer-Learning Approach for Automated Plantation Segmentation in High-Resolution Remote-Sensing Imagery. AU - Liu R AU - Liu T AU - Xia Y AU - Wang P AU - He M PY - 2026 JO - Plants (Basel, Switzerland) DO - 10.3390/plants15172688 UR - https://doi.org/10.3390/plants15172688 ER -
APA
R, L., T, L., Y, X., P, W., & M, H. (2026). A Spectral-Index-Aligned Transfer-Learning Approach for Automated Plantation Segmentation in High-Resolution Remote-Sensing Imagery.. Plants (Basel, Switzerland). https://doi.org/10.3390/plants15172688
Source records
- pubmed · retrieved 2026-09-25T11:11:24.140Z
- europe-pmc · retrieved 2026-09-25T11:11:24.134Z
- doaj · retrieved 2026-09-25T11:11:24.112Z