SAR target detection based on the optimal fractional Gabor spectrum feature |
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| Affiliation: | 1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China;2. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130033, China;3. Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, 610209, China;4. School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, 611731, China;5. School of Physics and Information Engineering, Minnan Normal University, Zhangzhou, 363000, China |
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| Abstract: | In this paper, an algorithm based on fractional time-frequency spectrum feature is proposed to improve the accuracy of synthetic aperture radar (SAR) target detection. By extending fractional Gabor transform (FrGT) into two dimensions, the fractional time-frequency spectrum feature of an image can be obtained. In the achievement process, we search for the optimal order and design the optimal window function to accomplish the two-dimensional optimal FrGT. Finally, the energy attenuation gradient (EAG) feature of the optimal time-frequency spectrum is extracted for high-frequency detection. The simulation results show that the proposed algorithm has a good performance in SAR target detection and lays the foundation for recognition. |
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| Keywords: | Optimal fractional Gabor transform (FrGT) Optimal order Synthetic aperture radar (SAR) target detection Time-frequency spectrum analysis |
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