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基于子孔径分解的SAR动目标检测方法
Moving Targets Detection in SAR Images Based on Sub-Aperture Decomposition
【摘要】 运动目标在合成孔径雷达SAR(Synthetic Aperture Radar)图像中的成像会出现模糊,散焦等现象,并且会在方位向出现明显的偏移,这些会导致运动目标的目标杂波比TCR(Target-to-clutter Ratio)降低.本文在子孔径分解技术的基础上提出一种从单通道SAR单视复图像SLC(Single Look Complex)中检测动目标的方法,该方法通过子孔径图像之间的相减操作来抑制杂波,从而提高TCR.通过对机载CV-580数据和星载Envisat ASAR数据进行测试,证明了该方法的有效性.
【Abstract】 Moving targets appear seriously degraded with smearing,defocusing and apparent shifts in the azimuth direction in Synthetic aperture radar(SAR)images and give rise to a considerable loss of the target-to-clutter ratio (TCR).This paper proposes a method to detect moving targets in single-channel SAR single look complex(SLC)image based on sub-aperture decomposition technique.The method can suppress the clutter by image subtraction between two sub-aperture images,therefore enhance the TCR.The effectiveness of the method is demonstrated on airborne Convair-580 data and Envisat ASAR data.
- 【文献出处】 电子学报 ,Acta Electronica Sinica , 编辑部邮箱 ,2008年06期
- 【分类号】TN957.52
- 【被引频次】11
- 【下载频次】459