现代防御技术2025，Vol.53Issue(2)：129-140,12.DOI:10.3969/j.issn.1009-086x.2025.02.014
入射视线角引导雷达图像特征融合的气动目标识别方法
Aerodynamic Target Recognition Method Based on Incidence Angle-Guided Radar Image Feature Fusion
李家宽 1冯博 1申伦豪 1叶春茂 1余继周1
作者信息
- 1. 北京无线电测量研究所,北京 100854
- 折叠
摘要
Abstract
High-resolution inverse synthetic aperture radar(ISAR)images play a crucial role in target recognition.However,obtaining high-resolution ISAR images requires prolonged radar exposure,which does not meet the demands of radar resource scheduling.In this paper,we propose a recognition method that guides radar image feature fusion based on incidence angles.A portion of pulse accumulation imaging during the dwell time is selected to meet the temporal adjustments and allocations of the remaining radar functions.Considering the differences in modulation phenomena among images of different aircraft models and the modulation variations of the same model at different incident angles,a hybrid attention residual module and angle-guided attention module are designed to focus the network on critical areas of the image and correlate target features with target attitudes.A feature fusion module is employed to integrate image features for fusion recognition.Through practical data of three types of aircraft,we demonstrate that this method achieves higher recognition accuracy while satisfying radar resource scheduling requirements.关键词
逆合成孔径雷达图像/目标识别/卷积神经网络/注意力机制/入射视线角/特征融合Key words
inverse synthetic aperture radar(ISAR)image/target recognition/convolutional neural network/attention mechanism/incident angle/feature fusion分类
电子信息工程引用本文复制引用
李家宽,冯博,申伦豪,叶春茂,余继周..入射视线角引导雷达图像特征融合的气动目标识别方法[J].现代防御技术,2025,53(2):129-140,12.
