NASA's Initial and Sustained Artemis Human Landing Systems

Watson-Morgan, Lisa; Chavers, Greg; Connolly, John F.; Crowe, Kathryn; Krupp, D.; Means, Laura; Percy, Thomas K.; Polsgrove, Tara; Turpin, Jason

doi:10.1109/aero50100.2021.9438179

Cited by 4 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Exploration of water ice in the permanently shadowed regions (PSRs) of the lunar poles has become one of the main topics in future lunar missions [1][2][3][4][5]. In the Chinese Chang'e 7 mission [6], a mini-flyer is planned to fly into the PSRs for in situ water ice detection.…”

Section: Introductionmentioning

confidence: 99%

Detection of Surface Rocks and Small Craters in Permanently Shadowed Regions of the Lunar South Pole Based on YOLOv7 and Markov Random Field Algorithms in SAR Images

Xia,

Ren,

Liu

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

Excluding rough areas with surface rocks and craters is critical for the safety of landing missions, such as China’s Chang’e-7 mission, in the permanently shadowed region (PSR) of the lunar south pole. Binned digital elevation model (DEM) data can describe the undulating surface, but the DEM data can hardly detect surface rocks because of median-averaging. High-resolution images from a synthetic aperture radar (SAR) can be used to map discrete rocks and small craters according to their strong backscattering. This study utilizes the You Only Look Once version 7 (YOLOv7) tool to detect varying-sized craters in SAR images. It also employs the Markov random field (MRF) algorithm to identify surface rocks, which are usually difficult to detect in DEM data. The results are validated by optical images and DEM data in non-PSR. With the assistance of the DEM data, regions with slopes larger than 10° are excluded. YOLOv7 and MRF are applied to detect craters and rocky surfaces and exclude regions with steep slopes in the PSRs of craters Shoemaker, Slater, and Shackleton, respectively. This study proves SAR images are feasible in the selection of landing sites in the PSRs for future missions.

show abstract