Cross-domain few-shot learning for hyperspectral image classification based on mixup foundation model
- DOI
- 10.1016/j.neunet.2026.109684
- Published
- 2027-02
- Container
- Neural Networks
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109684,
title = {Cross-domain few-shot learning for hyperspectral image classification based on mixup foundation model},
author = {Naeem Paeedeh and Mahardhika Pratama and Ary Shiddiqi and Zehong Cao and Mukesh Prasad and Wisnu Jatmiko},
year = {2027},
journal = {Neural Networks},
doi = {10.1016/j.neunet.2026.109684},
url = {https://doi.org/10.1016/j.neunet.2026.109684}
}RIS
TY - JOUR TI - Cross-domain few-shot learning for hyperspectral image classification based on mixup foundation model AU - Naeem Paeedeh AU - Mahardhika Pratama AU - Ary Shiddiqi AU - Zehong Cao AU - Mukesh Prasad AU - Wisnu Jatmiko PY - 2027 JO - Neural Networks DO - 10.1016/j.neunet.2026.109684 UR - https://doi.org/10.1016/j.neunet.2026.109684 ER -
APA
Paeedeh, N., Pratama, M., Shiddiqi, A., Cao, Z., Prasad, M., & Jatmiko, W. (2027). Cross-domain few-shot learning for hyperspectral image classification based on mixup foundation model. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109684
Source records
- crossref · retrieved 2026-11-10T13:48:44.682Z