基于对数背景减法的多向SAR图像运动目标伪影去除

Wenjie Shen;Yun Lin;Yang Li;Wen Hong;Yanping Wang
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引用次数: 0

摘要

多向SAR由于其长合成孔径的特点,具有提供高分辨率图像的能力。然而,在多方向SAR图像中,运动目标可能产生长而复杂的特征,这可能会阻碍图像解释和目标检测等应用。本文提出了两种消除单通道多向SAR图像中运动目标特征的方法。这两种方法都是基于对数背景减法。第一种是快速方案,其代价是分辨率降低。虽然第二种方法的重点是保持高分辨率,但比前一种方法需要更多的时间。第一种方法利用子孔径图像序列中目标信号位置变化的事实获取静态背景。第二种方法是将检测结果结合起来,排除每个复值子孔径图像中的运动目标信号,然后通过相干求和获得高分辨率的静态背景。通过合成和真实机载SAR数据验证了该方法的有效性。
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Moving Targets Artifacts Removal in Multiaspect SAR Imagery Based on Logarithm Background Subtraction
Multiaspect SAR has the capability of providing a high-resolution image due to its long synthetic aperture feature. However, a moving target can generate long and complex signatures in a multiaspect SAR image, which may hamper the applications like image interpretation and target detection. In this article, two methods are proposed to remove the moving target signature in a single-channel multiaspect SAR image. The two methods are all based on logarithm background subtraction. The first one is a fast scheme with a cost of reduced resolution. While the second one focuses on preserving the high resolution, it takes more time than the previous one. The first method utilizes the fact of target signal position changes in subaperture image sequence to obtain the static background. The second method combines the detection results to exclude the moving target signal in each complex-valued subaperture image, then obtaining the high resolution of static background by coherent summation. The methods are validated by synthetic and real airborne SAR data.
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2024 Index IEEE Journal on Miniaturization for Air and Space Systems Vol. 5 Table of Contents Front Cover The Journal of Miniaturized Air and Space Systems Broadband Miniaturized Antenna Based on Enhanced Magnetic Field Convergence in UAV
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