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 : a publication of the IEEE Signal Processing Society
- Publisher
- Not recorded
- Open access
- no
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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 = {Wang C and Wu C and Xu R and Huang Z and Yin C and Mao D and Zhang S and Yan H},
year = {2026},
journal = {IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
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 - Wang C AU - Wu C AU - Xu R AU - Huang Z AU - Yin C AU - Mao D AU - Zhang S AU - Yan H PY - 2026 JO - IEEE transactions on image processing : a publication of the IEEE Signal Processing Society DO - 10.1109/tip.2026.3731611 UR - https://doi.org/10.1109/tip.2026.3731611 ER -
APA
C, W., C, W., R, X., Z, H., C, Y., D, M., S, Z., & H, Y. (2026). An Interpretable Two-Stage Feature Decomposition Method for Deep Learning-Based SAR ATR.. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. https://doi.org/10.1109/tip.2026.3731611
Source records
- pubmed · retrieved 2026-09-25T08:08:30.830Z
- europe-pmc · retrieved 2026-09-25T08:08:30.849Z