A cascaded autoencoder unmixing network for Hyperspectral anomaly detection
- DOI
- 10.1016/j.jag.2025.104405
- Published
- 2025-02
- 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.2025.104405,
title = {A cascaded autoencoder unmixing network for Hyperspectral anomaly detection},
author = {Kun Li and Yingqian Wang and Qiang Ling and Yaoming Cai and Yao Qin},
year = {2025},
journal = {International Journal of Applied Earth Observation and Geoinformation},
doi = {10.1016/j.jag.2025.104405},
url = {https://doi.org/10.1016/j.jag.2025.104405}
}RIS
TY - JOUR TI - A cascaded autoencoder unmixing network for Hyperspectral anomaly detection AU - Kun Li AU - Yingqian Wang AU - Qiang Ling AU - Yaoming Cai AU - Yao Qin PY - 2025 JO - International Journal of Applied Earth Observation and Geoinformation DO - 10.1016/j.jag.2025.104405 UR - https://doi.org/10.1016/j.jag.2025.104405 ER -
APA
Li, K., Wang, Y., Ling, Q., Cai, Y., & Qin, Y. (2025). A cascaded autoencoder unmixing network for Hyperspectral anomaly detection. International Journal of Applied Earth Observation and Geoinformation. https://doi.org/10.1016/j.jag.2025.104405
Source records
- crossref · retrieved 2026-09-25T12:12:17.867Z