雷达科学与技术2024，Vol.22Issue(4)：391-399,426,10.DOI:10.3969/j.issn.1672-2337.2024.04.005
SAR射频干扰区域-强度特征提取与联合评估网络
SAR Radio Frequency Interference-Region Intensity Feature Extraction and Joint Evaluation Network
摘要
Abstract
Due to the widespread presence of radio frequency signals,synthetic aperture radar(SAR)is suscep-tible to various radio frequency interference(RFI)during the imaging process,which can lead to a decrease in the quality of SAR images obtained and have a significant impact on subsequent information extraction and target recognition processes.Therefore,it is particularly important to measure the degree of radio frequency interference in SAR images.However,the robustness of existing evaluation methods is usually low,and the size of the region affected by RFI on SAR images is not considered during evaluation.Therefore,a SAR radio frequency interference region-intensity feature extraction and joint evaluation network is proposed in this article.The proposed network consists of two modules.The interference intensity feature extraction module is used to extract the interference intensity information from the input SAR image,while the interference region feature extraction module focuses on the obtaining interference area size and boundary information.Due to the generally large size of SAR images,a multi-level residual and multi-layer feature fusion structure is adopted in the interference intensity feature extraction module to enhance the model's feature extrac-tion and reuse capabilities.At the same time,in the interference region feature extraction module,emphasis is placed on preserving the most critical region boundary features.In addition,an image dataset of SAR affected by RFI is estab-lished to evaluate the effectiveness of the proposed network.The results of comparative experiments show that the net-work evaluation proposed in this article outperforms other existing methods,and can measure the degree of influence of RFI on SAR images with high accuracy.关键词
合成孔径雷达/射频干扰/干扰影响程度评估/区域特征提取/强度特征提取/卷积神经网络Key words
synthetic aperture radar(SAR)/radio frequency interference(RFI)/evaluation of the degree of inter-ference/region feature extraction/intensity feature extraction/convolutional neural network分类
信息技术与安全科学引用本文复制引用
张驰,安洪阳,娄明悦,李中余,武俊杰,杨建宇..SAR射频干扰区域-强度特征提取与联合评估网络[J].雷达科学与技术,2024,22(4):391-399,426,10.基金项目
国家自然科学基金(No.62101096,62171084) （No.62101096,62171084）
