A lightweight spatiotemporal classification framework for tree species with entropy-based change resistance filter using satellite imagery

Biao Zhang, Zhichao Wang, Boyi Liang, Liguo Dong, Zebang Feng, Mingyang He, Zhongke Feng

Open source

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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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

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