Structural Analysis of Lunar Regolith from LPR CH-2 Data Based on Adaptive f -x E MD: LPR Data Processed by Adaptive f -x EMD
Structural Analysis of Lunar Regolith from LPR CH-2 Data Based on Adaptive f -x E MD: LPR Data Processed by Adaptive f -x EMD
复制标题
基于自适应 f -x E MD 的 LPR CH-2 数据的月球风化层结构分析：自适应 f -x EMD 处理的 LPR 数据
DOI：
10.1155/2019/1528410
复制
发表时间：
2019
影响因子：
1.4
通讯作者：
Zengzhaofa
中科院分区：
文献类型：
--
作者：
Hu Bin;Deli Wang;Ling Zhang;Zengzhaofa
The Lunar Penetrating Radar (LPR) is one of the important scientific payloads in China’s Chang’E-3 (CE-3) to image within 100 m below the lunar surface. The acquired LPR data is significant for the research of lunar geological structure. Based on the sedimentary mechanism of lunar regolith, the regolith contains many rocks with different sizes. These local anomalies appear as diffraction in LPR data, which reduces the data quality and limits the structural analysis of lunar regolith. According to the kinematics characteristics of rock caused diffraction, we transform these problems to a problem of steep dip decreasing. To reach this goal, we adopt a data preprocessing workflow to improve the quality of the radar image, firstly. Then, a dip filter based on adaptive f-x empirical mode decomposition (EMD) is proposed to extract the rocks in the regolith and the corresponding removed IMF map indicates the degree of rock enrichment and highlights regolith-basement interface. Both simulation and LPR CH-2 data present a great performance. Finally, according to the processed result, we locate the position of each rock and highlight the contact interface of regolith and the basement rock.
