SAR target detection based on the optimal fractional Gabor spectrum feature

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

引用次数: 0

Abstract

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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基于最优分数Gabor谱特征的SAR目标检测

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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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

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