Matching of Attributed Scattering Center and Its Application to Synthetic Aperture Radar Automatic Target Recognition

Ding Baiyuan; Wen Gongjian; Yu Liansheng; Ma Conghui

doi:10.12000/JR16104

Volume 6 Issue 2

May 2017

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Article Navigation > Journal of Radars > 2017 > 6(2): 157-166

ZHANG Xuqi, ZHOU Bin, LIU Haiqi, et al. A scalable method for group target tracking using multisensor with limited field of views[J]. Journal of Radars, 2024, 13(6): 1220–1238. doi: 10.12000/JR24054

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Ding Baiyuan, Wen Gongjian, Yu Liansheng, Ma Conghui. Matching of Attributed Scattering Center and Its Application to Synthetic Aperture Radar Automatic Target Recognition[J]. Journal of Radars, 2017, 6(2): 157-166. doi: 10.12000/JR16104

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Matching of Attributed Scattering Center and Its Application to Synthetic Aperture Radar Automatic Target Recognition

DOI: 10.12000/JR16104

Ding Baiyuan^{①
,
,},
Wen Gongjian^①,
Yu Liansheng^②,
Ma Conghui^①

①.
ATR Key Laboratory National University of Defense Technology, Changsha 410073, China
②.
TH Center of China, Beijing 102102, China

Funds:

The Program for New Century Excellent Talents in University NCET-11-0866

Received Date: 2016-09-15
Rev Recd Date: 2016-11-25

Available Online: 2016-12-22

Publish Date: 2017-04-28

Abstract

Abstract

Attributed scattering center is one of important features of Synthetic Aperture Radar (SAR) image. In this paper, a method for the matching of attributed scattering centers and its application to SAR target recognition is proposed. First, the attributed scattering centers of the test SAR image and template SAR images are extracted on the basis of the attributed scattering model. Second, the Hungarian algorithm is employed to match the two scattering center sets. Based on the one to one correspondence, we design a new similarity measure to evaluate the similarity between the two scattering center sets that will decide the target type of the test image. The similarity measure considers the effects of each individual scattering center, single matching pair, and missing alarms and false alarms; thus, it is more comprehensive. The experiment based on moving and stationary target acquisition and recognition database demonstrates the validity of the proposed method.
- Synthetic Aperture Radar (SAR),
- Target recognition,
- Matching of attributed scattering center,
- Hungarian algorithm,
- Similarity measure

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References(16)

References

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