Results 1 to 10 of about 7,916,508 (186)

Slope Stability Analysis and Soil Mechanical Properties of Impact Craters around the Lunar South Pole

Remote Sensing
Water ice has been found in the permanently shadowed regions of impact craters around the lunar South Pole, which makes them ideal areas for in situ exploration missions.
Yantong Huang, Jiang Zhang, Bo Li, Shengbo Chen   +3 more
doaj   +4 more sources

Lunar Evolution Analysis Based on Numerical Simulations of Typical Lunar Impact Craters

Space: Science & Technology, 2023
Impact craters are one of the most important landforms on the lunar surface, playing a crucial role in the formation and later evolution of the Moon. For example, as a primary source of remote sensing observations and lunar samples, lunar regolith is ...
Zongyu Yue, Huacheng Li, Nan Zhang, Sheng Gou, Yangting Lin   +4 more
doaj   +2 more sources

Increased small impactor flux on the Moon as inferred from regolith thickness at the Chang’E-5 Region [PDF]

Nature Communications
Knowledge of the small impactor flux on the Moon can provide critical insights into lunar geological evolution and the dynamics of the inner solar system.
Mingwei Zhang, Bojun Jia, Vincent R. Eke, Wenzhe Fa   +3 more
doaj   +2 more sources

Automatic Mapping of Small Lunar Impact Craters Using LRO‐NAC Images [PDF]

Earth and Space Science, 2022
Impact craters are the most common feature on the Moon’s surface. Crater size–frequency distributions provide critical insight into the timing of geological events, surface erosion rates, and impact fluxes.
J. H. Fairweather, A. Lagain, K. Servis, G. K. Benedix, S. S. Kumar, P. A. Bland   +5 more
doaj   +3 more sources

FPW-YOLO11n: A Lightweight Frequency-Perception Framework for Lunar Impact Crater Detection [PDF]

Sensors
Automated detection of lunar impact craters from digital elevation model (DEM) data is important for lunar geological analysis, landing-site selection, and crater catalog updating.
Jiarui Liang, Pengcheng Yan, Qi Wen, Qingjie Liu, Yikui Zhai, Xiaolin Tian   +5 more
doaj   +2 more sources

Detection of Small Impact Craters via Semantic Segmenting Lunar Point Clouds Using Deep Learning Network

Remote Sensing, 2021
Impact craters refer to the most salient features on the moon surface. They are of huge significance for analyzing the moon topography, selecting the lunar landing site and other lunar exploration missions, etc. However, existing methods of impact crater
Yifan Hu, Jun Xiao, Lupeng Liu, Long Zhang, Ying Wang   +4 more
doaj   +3 more sources

An Efficient High-Resolution Global–Local Network to Detect Lunar Features for Space Energy Discovery

Remote Sensing, 2022
Lunar craters and rilles are significant topographic features on the lunar surface that will play an essential role in future research on space energy resources and geological evolution.
Yutong Jia, Lei Liu, Siqing Peng, Mingyang Feng, Gang Wan   +4 more
doaj   +1 more source

A NEW GLOBAL CATALOGUE OF LUNAR CRATERS (≥1 KM) WITH 3D INFORMATION AND PRELIMINARY RESULTS OF GLOBAL ANALYSIS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Impact craters are the predominant geomorphological features on the lunar surface. They can be studied to infer the ages of the lunar surfaces, the generation processes of the geological units, and the sequences of its geological events.
Y. Wang, B. Wu
doaj   +1 more source

Three-Dimensional Model of the Moon with Semantic Information of Craters Based on Chang’e Data

Sensors, 2021
China’s Chang’e lunar exploration project obtains digital orthophoto image (DOM) and digital elevation model (DEM) data covering the whole Moon, which are critical to lunar research.
Yunfan Lu, Yifan Hu, Jun Xiao, Lupeng Liu, Long Zhang, Ying Wang   +5 more
doaj   +1 more source

Moon Impact Crater Detection Using Nested Attention Mechanism Based UNet++

IEEE Access, 2021
Impact craters are the most prominent topographic feature on the lunar surface, which will play a significant role in constructing lunar bases and lunar surface activities in the future.
Yutong Jia, Lei Liu, Chenyang Zhang
doaj   +1 more source