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Sensors 2018, 18(9), 3019;

Target Recognition of SAR Images via Matching Attributed Scattering Centers with Binary Target Region

Hainan Key Laboratory of Earth Observation, Sanya 572029, China
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
School of Public Administration and Mass Media, Beijing Information Science and Technology University, Beijing 100093, China
Author to whom correspondence should be addressed.
Received: 25 July 2018 / Revised: 5 September 2018 / Accepted: 5 September 2018 / Published: 10 September 2018
(This article belongs to the Special Issue Automatic Target Recognition of High Resolution SAR/ISAR Images)
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A target recognition method of synthetic aperture radar (SAR) images is proposed via matching attributed scattering centers (ASCs) to binary target regions. The ASCs extracted from the test image are predicted as binary regions. In detail, each ASC is first transformed to the image domain based on the ASC model. Afterwards, the resulting image is converted to a binary region segmented by a global threshold. All the predicted binary regions of individual ASCs from the test sample are mapped to the binary target regions of the corresponding templates. Then, the matched regions are evaluated by three scores which are combined as a similarity measure via the score-level fusion. In the classification stage, the target label of the test sample is determined according to the fused similarities. The proposed region matching method avoids the conventional ASC matching problem, which involves the assignment of ASC sets. In addition, the predicted regions are more robust than the point features. The Moving and Stationary Target Acquisition and Recognition (MSTAR) dataset is used for performance evaluation in the experiments. According to the experimental results, the method in this study outperforms some traditional methods reported in the literature under several different operating conditions. Under the standard operating condition (SOC), the proposed method achieves very good performance, with an average recognition rate of 98.34%, which is higher than the traditional methods. Moreover, the robustness of the proposed method is also superior to the traditional methods under different extended operating conditions (EOCs), including configuration variants, large depression angle variation, noise contamination, and partial occlusion. View Full-Text
Keywords: synthetic aperture radar (SAR); target recognition; attributed scattering center (ASC); region matching; score fusion synthetic aperture radar (SAR); target recognition; attributed scattering center (ASC); region matching; score fusion

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Tan, J.; Fan, X.; Wang, S.; Ren, Y. Target Recognition of SAR Images via Matching Attributed Scattering Centers with Binary Target Region. Sensors 2018, 18, 3019.

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