Air- and spaceborne synthetic aperture radar (SAR) can provide a large number of high-resolution images for microwave remote sensing applications, such as geoscience and climate change research, environmental Earth system monitoring, and precision agriculture. Unlike spaceborne SAR, the flight trajectory of airborne SAR may deviate from its ideal straight course due to the influence of atmospheric turbulence, resulting in significant motion errors in radar raw data. If a standard imaging algorithm is directly used to process the data, the image focusing quality will be significantly degraded. Therefore, to improve image focusing quality, one typically needs to integrate standard imaging algorithms with an effective motion compensation (MoCo)/autofocus technique. In this article, we present a comprehensive overview of MoCo/autofocus methods for airborne SAR to articulate related research and promote further development.

中文翻译：

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机载合成孔径雷达中的运动补偿/自动对焦：回顾


空载和星载合成孔径雷达（SAR）可以为微波遥感应用提供大量高分辨率图像，例如地球科学和气候变化研究、环境地球系统监测和精准农业。与星载SAR不同，机载SAR的飞行轨迹可能会因大气湍流的影响而偏离其理想直线航向，从而导致雷达原始数据出现明显的运动误差。如果直接使用标准成像算法来处理数据，图像聚焦质量将明显下降。因此，为了提高图像聚焦质量，通常需要将标准成像算法与有效的运动补偿（MoCo）/自动对焦技术集成。在本文中，我们全面概述了机载 SAR 的 MoCo/自动对焦方法，以阐明相关研究并促进进一步发展。