摘要
在SAR散焦船舶图像中,部分船舶目标的散焦现象具有沿距离向空变的特性。针对此类散焦船舶目标,该文提出了一种基于自适应动量估计优化器与空变最小熵准则的SAR图像船舶目标自聚焦算法,该算法直接对复图像进行处理,可以实现对任意阶次相位误差的补偿。在仿真数据和GF-3数据上的实验结果表明,所提算法可以有效地实现SAR图像空变散焦船舶目标自聚焦,聚焦后的船舶图像在图像熵与对比度上都有所改善,且算法聚焦速度有很大提升。
In SAR defocused ship images,the defocusing phenomenon of some ship targets is space-variant along the distance.In this context,a novel autofocus algorithm combining the adaptive momentum estimation optimizer and space-variant minimum entropy criteria is proposed to address these defocused ship targets.The algorithm can directly process complex images and compensate for any order phase errors.The effectiveness of the proposed method is proved by the experimental results on the simulation data and GF-3 data.Moreover,the entropy and contrast of the refocused image have been improved,and the focusing speed of the algorithm has been greatly enhanced.
作者
李志远
郭嘉逸
张月婷
黄丽佳
李洁
吴一戎
LI Zhiyuan;GUO Jiayi;ZHANG Yueting;HUANG Lijia;LI Jie;WU Yirong(Aerospace Information Research Institute,Chinese Academy of Science,Beijing 100190,China;Key Laboratory of Technology in Geo-spatial Information Processing and Application System,Chinese Acodemy of Sciences,Beijing 100190,China;School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《雷达学报（中英文）》
CSCD
北大核心
2022年第1期83-94,共12页
Journal of Radars
基金
国家自然科学基金(61991421)。
关键词
合成孔径雷达
船舶目标
自适应动量估计优化器
空变最小熵
自聚焦算法
Synthetic Aperture Radar(SAR)
Ship target
Adaptive momentum estimation optimizer
Space-Variant Minimum Entropy(SVME)
Autofocus algorithm
