Though widely studied over the years, radar target recognition is still far from being solved. Most earlier works rely on holistic features or raw intensity values, which are sensitive to the real-world sources of variability such as changes of pose, configuration, and imaging parameters; articulation; and occlusion. To solve these problems, this article resorts to the local descriptors around keypoints.

中文翻译：

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基于关键点的SAR图像目标识别本地描述符：比较分析

尽管多年来进行了广泛的研究，但雷达目标识别仍远远没有解决。较早的作品依赖于整体特征或原始强度值，这些特征或特征强度值对真实世界的可变性源（例如姿势，配置和成像参数的变化）敏感。关节; 和遮挡。为了解决这些问题，本文采用了围绕关键点的局部描述符。