ASC-RISE: Physical Information Guided Explanation of SAR ATR Models
Author:
Affiliation:
1. Shanghai Jiao Tong University,Shanghai Key Laboratory of Intelligent Sensing and Recognition,Shanghai,China,200240
2. Tongji University,Center of Digital Innovation,Shanghai,China,200092
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10640784.pdf?arnumber=10640784
Reference11 articles.
1. Perspective on explainable sar target recognition;GUO;Journal of Radars,2020
2. Explainable, Physics-Aware, Trustworthy Artificial Intelligence: A paradigm shift for synthetic aperture radar
3. HDEC-TFA: An Unsupervised Learning Approach for Discovering Physical Scattering Properties of Single-Polarized SAR Image
4. Physically explainable CNN for SAR image classification
5. Physics inspired hybrid attention for SAR target recognition
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