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A method for moving target detection based on airborne multi-aspect SAR system

机译:基于机载多方面SAR系统的运动目标检测方法

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Conventional methods of moving target detection, such as DPCA, GMTI have difficulties in detecting low speed target and showing the movement route. Multi-aspect airborne SAR can illuminate the same scene from different directions to get all-round scattering features of scene. In this paper, a method of moving target detection based on multi-aspect SAR images is proposed. This method can extract the change part from multi-aspect images to estimate the velocity and show the movement route. There is geometric correction, image registration and change detection along the process. As the key part of the detection, an improved image registration method named WT-SIFT is proposed, which combines Wavelet Transform (WT) with Scale-Invariant Feature Transform(SIFT). Finally, the validity of this method of moving target detection is demonstrated by an airborne multi-aspect SAR experiment.
机译:传统的运动目标检测方法,例如DPCA,GMTI,在检测低速目标和显示运动路线方面存在困难。多方位机载SAR可以从不同方向照亮同一场景,以获得场景的全方位散射特征。提出了一种基于多角度SAR图像的运动目标检测方法。该方法可以从多角度图像中提取变化部分,以估计速度并显示运动路线。在此过程中进行几何校正,图像配准和变化检测。作为检测的关键部分,提出了一种改进的图像配准方法WT-SIFT,该方法结合了小波变换(WT)和尺度不变特征变换(SIFT)。最后,通过机载多方面SAR实验证明了这种运动目标检测方法的有效性。

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