系统工程与电子技术

• 传感器与信号处理 • 上一篇    下一篇

基于超分辨极化SAR图像的舰船检测算法

李增辉, 常雯, 杨健   

  1. 清华大学电子工程系, 北京 100084
  • 出版日期:2015-07-24 发布日期:2010-01-03

Ship detection based on super-resolution polarimetric SAR images

LI Zeng-hui, CHANG Wen, YANG Jian   

  1. Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
  • Online:2015-07-24 Published:2010-01-03

摘要:

极化合成孔径雷达(synthetic aperture radar, SAR)图像超分辨处理具有聚集目标能量,提高图像分辨率,抑制相干斑噪声的能力。扩展了多通道幅度和相位估计(amplitude and phase estimation, APES)谱估计算法,并以此实现了极化SAR图像的超分辨处理。运用基于K分布的单极化检测器和基于SPAN、PWF的全极化检测器对实测SAR图像进行了舰船检测。通过分析超分辨极化SAR图像杂波统计分布、弱小目标检测性能、目标区域区分精度、目标轮廓及拓扑结构提取效果等,验证了基于多通道APES谱估计的超分辨极化SAR图像的舰船检测性能。

Abstract:

Super-resolution processing of polarimetric synthetic aperture radar (SAR) images can concentrate target energy, improve image resolution and suppress speckle noise. Amplitude and phase estimation (APES) for monochannel data is extended to multichannel cases, which enables the super-resolution of polarimetric SAR images. Both K-distribution based detector for singlepolarized SAR images and SPAN/PWF based detectors for polarimetric SAR images are used to process real-collected SAR images. Finally, ship detection superiority of superresolution polarimetric SAR images via the multi-channel APES is demonstrated by analyzing the clutter statistical distribution, weak target detection ability, target region separability, target profile and topology structure extraction quality.