Since early 2019, the Lunar Penetrating Radar (LPR) onboard Chang'e‐4 (CE‐4)’s Yutu‐2 rover has been gathering data relating to the subsurface structure of the Von Kármán crater within the South Pole‐Aitken Basin (SPA) on the lunar farside. Low‐frequency
Huaqing Cao +5 more
doaj +3 more sources
Velocity Analysis Using Separated Diffractions for Lunar Penetrating Radar Obtained by Yutu-2 Rover [PDF]
The high-frequency channel of lunar penetrating radar (LPR) onboard Yutu-2 rover successfully collected high quality data on the far side of the Moon, which provide a chance for us to detect the shallow subsurface structures and thickness of lunar ...
Chao Li, Jinhai Zhang
doaj +3 more sources
Application of Denoising CNN for Noise Suppression and Weak Signal Extraction of Lunar Penetrating Radar Data [PDF]
As one of the main payloads mounted on the Yutu-2 rover of Chang’E-4 probe, lunar penetrating radar (LPR) aims to map the subsurface structure in the Von Kármán crater.
Haoqiu Zhou +4 more
doaj +3 more sources
Compositional variations along the route of Chang’e-3 Yutu rover revealed by the lunar penetrating radar [PDF]
Using the high-frequency lunar penetrating radar data obtained by the Chang’e-3 mission, we apply the frequency-shift method to calculate the decay rate of the electromagnetic wave in the regolith-like ejecta deposits of the Ziwei crater.
Chunyu Ding +4 more
doaj +3 more sources
Impact cratering is the most common geological process occurring on terrestrial planets. The morphologies of impact craters reflect not only the impact conditions but the target properties as well.
Ling Zhang +7 more
doaj +3 more sources
Time–Frequency Attribute Analysis of Channel 1 Data of Lunar Penetrating Radar [PDF]
The Lunar Penetrating Radar (LPR) carried by the Chang’E-3 (CE-3) and Chang’E-4 (CE-4) mission plays a very important role in lunar exploration.
Chenyang Xu +3 more
doaj +3 more sources
Deep learning driven interpretation of Chang'E-4 Lunar Penetrating Radar
We reprocessed Chang’E-4 Lunar Penetrating Radar data collected until 27th March 2023 with a total length of about 1440 m adding >400 m to the longest profile published so far. For data interpretation, we exploited a new Deep Learning-based algorithm to automatically extract reflectors from a processed radar dataset. The results are in terms of horizon
Giacomo Roncoroni +8 more
semanticscholar +4 more sources
Properties Analysis of Lunar Regolith at Chang’E-4 Landing Site Based on 3D Velocity Spectrum of Lunar Penetrating Radar [PDF]
The Chinese Chang’E-4 mission for moon exploration has been successfully completed. The Chang’E-4 probe achieved the first-ever soft landing on the floor of Von Kármán crater (177.59°E, 45.46°S) of the South Pole-Aitken ...
Zejun Dong +6 more
doaj +3 more sources
Enhancing the vertical resolution of lunar penetrating radar data using predictive deconvolution
The Yutu-2 rover onboard the Chang’E-4 mission performed the first lunar penetrating radar detection on the farside of the Moon. The high-frequency channel presented us with many unprecedented details of the subsurface structures within a depth of ...
Chao Li, JinHai Zhang
doaj +3 more sources
Chang’E-5 radar reveals fast regolith production at landing site [PDF]
Lunar regolith is an unconsolidated fine-grained layer overlaying on the entire lunar surface, formed by continuous impact and space weathering processes.
Gang Yu +3 more
doaj +2 more sources

