An Interpretable Two-Stage Feature Decomposition Method for Deep Learning-Based SAR ATR
- DOI
- 10.1109/tip.2026.3731611
- Published
- 2026
- Container
- IEEE Transactions on Image Processing
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tip.2026.3731611,
title = {An Interpretable Two-Stage Feature Decomposition Method for Deep Learning-Based SAR ATR},
author = {Chenwei Wang and Congwen Wu and Renjie Xu and Zhaoke Huang and Cunyi Yin and Deqing Mao and Sitong Zhang and Hong Yan},
year = {2026},
journal = {IEEE Transactions on Image Processing},
doi = {10.1109/tip.2026.3731611},
url = {https://doi.org/10.1109/tip.2026.3731611}
}RIS
TY - JOUR TI - An Interpretable Two-Stage Feature Decomposition Method for Deep Learning-Based SAR ATR AU - Chenwei Wang AU - Congwen Wu AU - Renjie Xu AU - Zhaoke Huang AU - Cunyi Yin AU - Deqing Mao AU - Sitong Zhang AU - Hong Yan PY - 2026 JO - IEEE Transactions on Image Processing DO - 10.1109/tip.2026.3731611 UR - https://doi.org/10.1109/tip.2026.3731611 ER -
APA
Wang, C., Wu, C., Xu, R., Huang, Z., Yin, C., Mao, D., Zhang, S., & Yan, H. (2026). An Interpretable Two-Stage Feature Decomposition Method for Deep Learning-Based SAR ATR. IEEE Transactions on Image Processing. https://doi.org/10.1109/tip.2026.3731611
Source records
- crossref · retrieved 2026-11-10T10:04:44.310Z