A lightweight spatiotemporal classification framework for tree species with entropy-based change resistance filter using satellite imagery
- DOI
- 10.1016/j.jag.2025.104449
- Published
- 2025-04
- Container
- International Journal of Applied Earth Observation and Geoinformation
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jag.2025.104449,
title = {A lightweight spatiotemporal classification framework for tree species with entropy-based change resistance filter using satellite imagery},
author = {Biao Zhang and Zhichao Wang and Boyi Liang and Liguo Dong and Zebang Feng and Mingyang He and Zhongke Feng},
year = {2025},
journal = {International Journal of Applied Earth Observation and Geoinformation},
doi = {10.1016/j.jag.2025.104449},
url = {https://doi.org/10.1016/j.jag.2025.104449}
}RIS
TY - JOUR TI - A lightweight spatiotemporal classification framework for tree species with entropy-based change resistance filter using satellite imagery AU - Biao Zhang AU - Zhichao Wang AU - Boyi Liang AU - Liguo Dong AU - Zebang Feng AU - Mingyang He AU - Zhongke Feng PY - 2025 JO - International Journal of Applied Earth Observation and Geoinformation DO - 10.1016/j.jag.2025.104449 UR - https://doi.org/10.1016/j.jag.2025.104449 ER -
APA
Zhang, B., Wang, Z., Liang, B., Dong, L., Feng, Z., He, M., & Feng, Z. (2025). A lightweight spatiotemporal classification framework for tree species with entropy-based change resistance filter using satellite imagery. International Journal of Applied Earth Observation and Geoinformation. https://doi.org/10.1016/j.jag.2025.104449
Source records
- crossref · retrieved 2026-09-26T00:35:49.091Z