Zobrazeno 1 - 10
of 950
pro vyhledávání: '"The Landing Site"'
Publikováno v:
IEEE Access, Vol 12, Pp 128729-128751 (2024)
The drone technology field has received attention and witnessed numerous impressive advancements that heralded substantial changes and opened new possibilities in different industries. Several advanced technologies, such as artificial intelligence, c
Externí odkaz:
https://doaj.org/article/74185ac5fd9d453fa58358194b228c1c
Autor:
Yongjiu Feng, Haoteng Li, Xiaohua Tong, Pengshuo Li, Rong Wang, Shurui Chen, Mengrong Xi, Jingbo Sun, Yuhao Wang, Huaiyu He, Chao Wang, Xiong Xu, Huan Xie, Yanmin Jin, Sicong Liu
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10998-11015 (2024)
The identification of optimal landing sites is a critical first step for successful missions to the Moon and other extraterrestrial bodies, necessitating the integration of various environmental factors over large spatial scales. At the lunar south p
Externí odkaz:
https://doaj.org/article/9bc9010d18b64b16ab91fdaca4b29d08
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1575-1583 (2024)
The Amundsen crater is located in the Aitken Basin of the lunar nearside. Its unique location and the possibility of water ice make it a prime landing area for lunar exploration missions. Constructing a high-quality digital elevation model (DEM) and
Externí odkaz:
https://doaj.org/article/532b8b7c69f44e3bb4bfc9af58d28565
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 3976 (2024)
The Chang’E-6 (CE-6) mission successfully returned 1935.3 g of lunar soil samples from the Apollo basin within the South Pole–Aitken basin. One of its scientific objectives is to investigate the subsurface structure and regolith thickness at the
Externí odkaz:
https://doaj.org/article/a60e01cb80e842279a948b02e98ec772
Publikováno v:
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, Vol 31, Iss 1, Pp 1-7 (2023)
Abstract Background Helicopter emergency medical service provides timely care and rapid transport of severely injured or critically ill patients. Due to constructional or regulatory provisions at some hospitals, a remote helicopter landing site neces
Externí odkaz:
https://doaj.org/article/59d8fca37e1b4880bba99794170accdc
Autor:
Shibo Wen, Yongzhi Wang, Qizhou Gong, Jianzhong Liu, Xiaoxi Kang, Hengxi Liu, Rui Chen, Kai Zhu, Sheng Zhang
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3632 (2024)
The safety of lunar landing sites directly impacts the success of lunar exploration missions. This study develops a data-driven predictive model based on machine learning, focusing on engineering safety to assess the suitability of lunar landing site
Externí odkaz:
https://doaj.org/article/cc7487f3641c4b9582871cf5271a4cc8
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 6079 (2024)
Safely landing unmanned aerial vehicles (UAVs) in unknown environments that are denied by GPS is challenging but crucial. In most cases, traditional landing methods are not suitable, especially under complex terrain conditions with insufficient map i
Externí odkaz:
https://doaj.org/article/b2b59b6b80a346469bb57b19131b50ec
Publikováno v:
Earth and Space Science, Vol 10, Iss 10, Pp n/a-n/a (2023)
Abstract We demonstrate the capabilities of a published MADNet monocular height estimation network in producing a refined digital terrain model (DTM) mosaic at 50 cm/pixel resolution for the Mars 2020 Perseverance rover landing site in Jezero crater
Externí odkaz:
https://doaj.org/article/6c1fae1dae8d48be8db1ade66b197d5b
Autor:
Yanshuang Liu, Jialong Lai, Minggang Xie, Jiannan Zhao, Chen Zou, Chaofei Liu, Yiqing Qian, Jiahao Deng
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 344 (2024)
Impact craters are extensively researched geological features that contribute to various aspects of lunar science, such as evaluating the model age, regolith thickness, etc. The method for identifying impact craters has gradually transitioned from ma
Externí odkaz:
https://doaj.org/article/7c0d0084b3e7442ab0cfb91146d4439e
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