摘要
圆迹SAR(CSAR)作为一种新的对地高分辨率成像方法,兼具长时间观测以及获得目标360°全向信息的优势。该文利用其长时间观测的特性,针对单通道圆迹SAR提出一种新的图像域动目标检测算法。首先从等多普勒等距离角度分析了动目标信号模型,后给出动目标检测算法。该方法将原始图像分为无动目标的背景以及含有动目标的前景图像,由于静止背景较动目标变化缓慢,故利用中值滤波器对重叠子孔径图像序列沿时间维进行滤波以获得背景图像,再利用每帧原始图像与背景图像的差来获得相应的含有动目标的前景图像。机载圆迹SAR数据处理结果说明了该方法的有效性。
As a new high resolution ground imaging technique, Circular Synthetic Aperture Radar [CSAR） is capable of long time observation and retrieving the 360° information of the targets. By taking the long time observation advantage, a new moving target detecting method is developed based on the single channel CSAR. Moving target signal model is analyzed with equal range equal Doppler equations, then the method is described. This method regards the original SAR image as combination of two images, one is background without moving target, the other one is foreground with moving target. Because the stationary background changes slower than the moving target signal. Thus median filter can be applied to a sequence of overlapping subaperture SAR images along the time to generate the background image. Next, each original frame is used to subtract the background image. Then the moving targets can be obtained. The proposed method is demonstrated on airborne CSAR moving targets dataset.
出处
《电子与信息学报》
EI
CSCD
北大核心
2017年第9期2182-2189,共8页
Journal of Electronics & Information Technology
基金
国家自然科学基金(61431018)~~
关键词
圆迹SAR
动目标检测
背景差分法
Circular Synthetic Aperture Radar （CSAR）
Moving Target Identification （MTI）
Background subtraction
