Zobrazeno 1 - 10
of 495
pro vyhledávání: '"Yuanzhi Zhang"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15735-15745 (2024)
The study of brightness temperature (TB) anomalies always postulates a new understanding of the subsurface deposits of the Moon. In this study, the TB performances of the lunar farside highlands were comprehensively studied using TB data derived from
Externí odkaz:
https://doaj.org/article/a88b23a262c6499388b68b7f40b9205d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 9492-9502 (2024)
The area far from the Procellarum KREEP Terrane (PKT) is important for future landing exploration. Mare Crisium, located in the area, has been identified as an essential landing option for the Lunar Geophysical Network (LGN) mission. Utilizing high-r
Externí odkaz:
https://doaj.org/article/f9eeefd74ccd4051b956b91b29b2b61d
Publikováno v:
Ecological Indicators, Vol 160, Iss , Pp 111763- (2024)
Under the synergistic influence of global climate change and rapid urbanization, the conservation of mangrove wetlands is facing great challenges. Accordingly, mangrove wetland management and protection requires investigating the covered area, distri
Externí odkaz:
https://doaj.org/article/1d4f8085fbf44caf8921a7e31a5e7fc8
Publikováno v:
Collagen and Leather, Vol 5, Iss 1, Pp 1-14 (2023)
Abstract With the efficient cross-linking abilities and the flexible regulation abilities to the performances of cross-linked products, the multi-functional aliphatic epoxides were once widely used to cross-link the collagen-based materials in the la
Externí odkaz:
https://doaj.org/article/fe81ce71462b4d4ea70475f26c70b348
Autor:
Teng Xiao, Jiajun Feng, Zhongfeng Qiu, Rong Tang, Aibo Zhao, Kapo Wong, Jin Yeu Tsou, Yuanzhi Zhang
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 7, p 1085 (2024)
Upwelling, which mixes deep and surface waters, significantly enhances the productivity of surface waters and plays a critical role in marine ecosystems, especially in key fishing areas like Zhoushan. This study utilized merged sea surface temperatur
Externí odkaz:
https://doaj.org/article/31930feb88f54651b431c2a0e4bc07b2
Publikováno v:
Shock and Vibration, Vol 2024 (2024)
Under the condition of weakly cemented soft rock in Western China, the surrounding rock deformation of gob-side entry is obvious, especially under the influence of fault, and the problem of surrounding rock control becomes increasingly prominent. To
Externí odkaz:
https://doaj.org/article/22a1b56b7cfa4bf5928b07885158278b
Autor:
Xuanshuo Shi, Zhongfeng Qiu, Yunjian Hu, Dongzhi Zhao, Aibo Zhao, Hui Lin, Yating Zhan, Yu Wang, Yuanzhi Zhang
Publikováno v:
Water, Vol 16, Iss 6, p 860 (2024)
Remote sensing technology plays a crucial role in the rapid and wide-scale monitoring of water quality, which is of great significance for water pollution prevention and control. In this study, the downstream and nearshore areas of the Huaihe River B
Externí odkaz:
https://doaj.org/article/7eb8c2b5f73040ac869da1f2cc2ad2c8
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 3, Pp 4403-4420 (2023)
In order to enhance cone-beam computed tomography (CBCT) image information and improve the registration accuracy for image-guided radiation therapy, we propose a super-resolution (SR) image enhancement method. This method uses super-resolution techni
Externí odkaz:
https://doaj.org/article/d5341740ca5644b993d7a6d23fc715b7
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 1, p 167 (2024)
This study on total suspended matter (TSM) in the Pearl River Estuary established a regression analysis model using Landsat 8 reflectance and measured TSM data, crucial for environmental management and engineering projects. High coefficients of deter
Externí odkaz:
https://doaj.org/article/d470e3f4e8cd46188ed5ae224f7a2394
Autor:
Shiou Li, Xianyun Fei, Peilong Chen, Zhen Wang, Yajun Gao, Kai Cheng, Huilong Wang, Yuanzhi Zhang
Publikováno v:
Remote Sensing, Vol 16, Iss 1, p 31 (2023)
The composition and structure of mountain vegetation are complex and changeable, and thus urgently require the integration of Object-Based Image Analysis (OBIA) and Deep Convolutional Neural Networks (DCNNs). However, while integration technology stu
Externí odkaz:
https://doaj.org/article/cf40cc8293c34c228eb3d88cf494d1e1