基于最优分数Gabor谱特征的SAR目标检测

Q1 Engineering

Journal of Electronic Science and Technology Pub Date : 2023-06-01 DOI:10.1016/j.jnlest.2023.100197

Ling-Bing Peng , Yu-Qing Wang , Ying-Pin Chen , Zhen-Ming Peng

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引用次数: 0

摘要

为了提高合成孔径雷达(SAR)目标检测的精度，提出了一种基于分数阶时频谱特征的目标检测算法。通过将分数阶Gabor变换(FrGT)扩展到二维，可以得到图像的分数阶时频谱特征。在实现过程中，寻找最优阶数，设计最优窗函数，实现二维最优FrGT。最后，提取最优时频谱的能量衰减梯度(EAG)特征进行高频检测。仿真结果表明，该算法在SAR目标检测中具有良好的性能，为识别奠定了基础。

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SAR target detection based on the optimal fractional Gabor spectrum feature

In this paper, an algorithm based on a fractional time-frequency spectrum feature is proposed to improve the accuracy of synthetic aperture radar (SAR) target detection. By extending the 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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来源期刊

Journal of Electronic Science and Technology Engineering-Electrical and Electronic Engineering

CiteScore

4.30

自引率

0.00%

发文量

1362

审稿时长

99 days

期刊介绍： JEST (International) covers the state-of-the-art achievements in electronic science and technology, including the most highlight areas: ¨ Communication Technology ¨ Computer Science and Information Technology ¨ Information and Network Security ¨ Bioelectronics and Biomedicine ¨ Neural Networks and Intelligent Systems ¨ Electronic Systems and Array Processing ¨ Optoelectronic and Photonic Technologies ¨ Electronic Materials and Devices ¨ Sensing and Measurement ¨ Signal Processing and Image Processing JEST (International) is dedicated to building an open, high-level academic journal supported by researchers, professionals, and academicians. The Journal has been fully indexed by Ei INSPEC and has published, with great honor, the contributions from more than 20 countries and regions in the world.