摘要
合成孔径雷达(synthetic aperture radar,SAR)在合成孔径累积时间内仅在小范围方位角获取目标的后向散射特性,导致SAR图像对观测方位向的变化极其敏感。通过图像非相干合成方法将不同方位向上的多幅同目标SAR图像合成单幅特征更明显的SAR图像,通过二维主成分分析方法提取特征和k-近邻分类方法实现目标识别。在两组不同数据集上对识别性能进行分析。实验结果表明,多角度SAR的识别率比单一角度更高。多角度SAR对观测平台俯视角的变化具有较强的鲁棒性。
Synthetic aperture radar(SAR)receives the backscatter of target within only a small range of azimuth during the synthetic aperture accumulation time,which makes the SAR image extremely sensitive to the change in observation azimuth.In this study,an SAR image with more obvious features is composed of multiple SAR images obtained at different azimuths by means of non-coherent composition,and then 2 DPCA is used to extract features and the k-nearest neighbor method is used for target recognition.Finally the recognition performance is analyzed on two different datasets.The experimental results show that the multi-aspect SAR has a higher recognition rate than the single aspect,and has strong robustness to the change in depression angle.
作者
邹浩
林赟
洪文
ZOU Hao;LIN Yun;HONG Wen(Key Laboratory of Spatial Information Processing and Application System Technology of CAS,Institute of Electronics,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《中国科学院大学学报(中英文)》
CSCD
北大核心
2019年第2期226-234,共9页
Journal of University of Chinese Academy of Sciences
基金
国家自然科学基金(61431018
61571421
61571419
61501210)资助
关键词
目标识别
多角度
合成孔径雷达
非相干合成
性能分析
target recognition
multi-aspect
synthetic aperture radar(SAR)
non-coherent composition
performance analysis