The Lunar penetrating radar (LPR) carried by Chang’E-3 (CE-3) mission is an important application of radar in lunar exploration. An opportunity of significance to detect the information of regolith and the subsurface structure on the landing site is offered by LPR aboard the Yutu rover. On the basis of a data processing flow, a low-frequency radar image has been available for mapping subsurface structure. The noise interfered data give a huge challenge for geological stratification and interpretation. To solve the limitation imposed by noise, we adopt the shearlet transform as a promising tool for data analysis and noise attenuation. The different distributions of the noise and signal in the shearlet domain decrease the difficulty of noise attenuation. To optimize the denosing strategy, we replace a local adaptive thresholding function with the conventional hard threshold. The quality of the processed data is improved, which is helpful for geological stratification and interpretation. Finally, by combining these data with the regional geology and previous research, especially the LPR data, we can provide an interpretation of the LPR CH-1.

中文翻译：

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CE-3 着陆点的地下结构：通过 Shearlet 变换处理 LPR CH-1 数据

嫦娥三号（CE-3）任务携带的探月雷达（LPR）是雷达在月球探测中的重要应用。玉兔号火星车上的 LPR 为探测着陆点风化层和地下结构信息提供了重要机会。在数据处理流程的基础上，低频雷达图像已可用于绘制地下结构。噪声干扰数据给地质分层解释带来了巨大挑战。为了解决噪声带来的限制，我们采用剪切波变换作为数据分析和噪声衰减的有前途的工具。剪切波域中噪声和信号的不同分布降低了噪声衰减的难度。为了优化去雾策略，我们用传统的硬阈值替换了局部自适应阈值函数。处理数据的质量得到提高，有利于地质分层解释。最后，通过结合区域地质和前人研究，特别是LPR数据，我们可以对LPR CH-1进行解释。