Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Shuaijun LIU"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Reconstructing high-quality Normalized Difference Vegetation Index time series data is essential for ecological and agricultural applications but remains challenging in heavily cloudy areas. Fusing Sentinel SAR and optical data with deep learning cou
Externí odkaz:
https://doaj.org/article/f5c9af088f254272a3f6bb04a9da38d8
Publikováno v:
Journal of Remote Sensing, Vol 4 (2024)
Agricultural applications of remote sensing data typically require high spatial resolution and frequent observations. The increasing availability of high spatial resolution imagery meets the spatial resolution requirement well. However, the long revi
Externí odkaz:
https://doaj.org/article/b0e1f922f9314398bfa1c71d39b2697f
Publikováno v:
Crop Journal, Vol 10, Iss 5, Pp 1460-1469 (2022)
Spectral and spatial features in remotely sensed data play an irreplaceable role in classifying crop types for precision agriculture. Despite the thriving establishment of the handcrafted features, designing or selecting such features valid for speci
Externí odkaz:
https://doaj.org/article/08006b80def3448ca376b63e4e686432
Publikováno v:
Water Science and Technology, Vol 86, Iss 3, Pp 555-567 (2022)
Sulfidated nano zero-valent iron supported by activated carbon (S-nZVI/AC) composites were synthesized via liquid phase reduction method, and then they were used for Cr(VI) elimination. Characterization results showed that Fe0 was the main component,
Externí odkaz:
https://doaj.org/article/f3fb59c292a34ae1a60d3633d4588a13
Autor:
Lixiang LIU, Shuaijun LIU
Publikováno v:
天地一体化信息网络, Vol 1, Pp 87-94 (2020)
Thanks to the advantages of global coverage, high capacity and low latency, the large-scale LEO satellite constellation networks has become a hot spot for global development.However, planning methods and simulation modeling research for LS-LEOSCN has
Externí odkaz:
https://doaj.org/article/6e856e0d33a04418b0661bba78fb6ea4
Publikováno v:
Tongxin xuebao, Vol 41, Pp 51-60 (2020)
In view of the multi-objective optimization (MOP) problem of sequential decision-making for resource allocations in multi-beam satellite systems,a deep reinforcement learning(DRL) based DRL-MOP algorithm was proposed to improve the system performance
Externí odkaz:
https://doaj.org/article/51b908006f394d5fb4b05e9d78f4d476
Publikováno v:
Tongxin xuebao, Vol 41, Pp 190-196 (2020)
Aiming at the problems of the relatively dense coverage of the satellites in the space segment of the low earth orbit (LEO) multibeam satellite constellation network,which resulted in relatively dense areas in some regions,causing severe inter-beam i
Externí odkaz:
https://doaj.org/article/d76b9ba14ab0499fb193199cb66e8cad
Publikováno v:
Tongxin xuebao, Vol 39, Pp 43-51 (2018)
In order to solve the problem of low handover efficiency raised by the interwined impacts of time-varying topology of LEO satellites and terminal movement,a real-time satellite handover prediction framework based on time evolving graph and a shortest
Externí odkaz:
https://doaj.org/article/4cec72f7309b47eeafa6d81a8e9ed832
Publikováno v:
IEEE Access, Vol 6, Pp 15733-15742 (2018)
Dynamic channel allocation (DCA) is the key technology to efficiently utilize the spectrum resources and decrease the co-channel interference for multibeam satellite systems. Most works allocate the channel on the basis of the beam traffic load or th
Externí odkaz:
https://doaj.org/article/e5bd6ddc5987431ba3aa4c2999c53124
Publikováno v:
EAI Endorsed Transactions on Mobile Communications and Applications, Vol 3, Iss 12, Pp 1-6 (2018)
This paper analyzes interference coexistence of IMT-2020 (International Mobile Telecommunications-2020) and inter-satellite service where both systems operate in the same spectrum band of 25.25-27.5GHz. This work can be regarded as a good reference t
Externí odkaz:
https://doaj.org/article/1e1100e23c5f46eead9e386e45305293