SAR Automatic Target Recognition Based on Numerical Scattering Simulation and Model-based Matching

Zhou Yu; Wang Hai-peng; Chen Si-zhe

doi:10.12000/JR15080

Volume 4 Issue 6

Dec. 2015

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Article Navigation > Journal of Radars > 2015 > 4(6): 666-673

Zhou Yu, Wang Hai-peng, Chen Si-zhe. SAR Automatic Target Recognition Based on Numerical Scattering Simulation and Model-based Matching[J]. Journal of Radars, 2015, 4(6): 666-673. doi: 10.12000/JR15080

Citation:

Zhou Yu, Wang Hai-peng, Chen Si-zhe. SAR Automatic Target Recognition Based on Numerical Scattering Simulation and Model-based Matching[J]. Journal of Radars, 2015, 4(6): 666-673. doi: 10.12000/JR15080

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SAR Automatic Target Recognition Based on Numerical Scattering Simulation and Model-based Matching

DOI: 10.12000/JR15080

(Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai 200433, China)

Funds:

The National Natural Science Foundation of China (61571132, 61331020)

Received Date: 2015-06-29
Rev Recd Date: 2015-10-14
Publish Date: 2015-12-28

Abstract

Abstract

This study proposes a model-based Synthetic Aperture Radar (SAR) automatic target recognition algorithm. Scattering is computed offline using the laboratory-developed Bidirectional Analytic Ray Tracing software and the same system parameter settings as the Moving and Stationary Target Acquisition and Recognition (MSTAR) datasets. SAR images are then created by simulated electromagnetic scattering data. Shape features are extracted from the measured and simulated images, and then, matches are searched. The algorithm is verified using three types of targets from MSTAR data and simulated SAR images, and it is shown that the proposed approach is fast and easy to implement with high accuracy.
- Synthetic Aperture Radar (SAR),
- Automatic Target Recognition (ATR),
- SAR image simulation,
- Model-based

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References

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