Zobrazeno 1 - 10
of 221
pro vyhledávání: '"Xiaoping, Lu"'
Publikováno v:
AIMS Mathematics, Vol 9, Iss 6, Pp 14358-14375 (2024)
In this paper, for vertical nonlinear complementarity problems, a two-step modulus-based matrix splitting iteration method is established by applying the two-step splitting technique to the modulus-based matrix splitting iteration method. The converg
Externí odkaz:
https://doaj.org/article/8fcdc3bc711b4cada3269732fb2c8c1a
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTThis study aimed at alleviating the problems of unsatisfactory inversion accuracy and weak model stability in LAI remote sensing quantitative inversion. The properties and complex scattering mechanism of SAR data specify the polarization comb
Externí odkaz:
https://doaj.org/article/ec5e1551e92e48739a6d88f416838e94
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTAccurate monitoring of the leaf area index (LAI) and aboveground biomass (AGB) using remote sensing at a fine scale is crucial for understanding the spatial heterogeneity of vegetation structure in mountainous ecosystems. Understanding discre
Externí odkaz:
https://doaj.org/article/62ce8298c29d40069f2b794297947a13
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 2, Pp 4385-4403 (2023)
The leaf area index (LAI) inversion accuracy of the water cloud model (WCM) based on the SAR images is low. The main reason is that the WCM model assumes two independent contributions from plant and soil surfaces, without taking into account their in
Externí odkaz:
https://doaj.org/article/a25f78c2684343a49204014618311eb9
Publikováno v:
Universe, Vol 10, Iss 10, p 395 (2024)
The China Near-Earth Object Survey Telescope (CNEOST) conducted four photometric surveys from 2015 to 2018 using image processing and aperture photometry techniques to obtain extensive light curve data on asteroids. The second-order Fourier series me
Externí odkaz:
https://doaj.org/article/a503ee58a55f4df2acb8659c88cfecb2
Autor:
Guosheng Cai, Xiaoping Lu, Xiangjun Zhang, Guoqing Li, Haikun Yu, Zhengfang Lou, Jinrui Fan, Yushi Zhou
Publikováno v:
Agronomy, Vol 14, Iss 9, p 1941 (2024)
Solar-induced chlorophyll fluorescence (SIF) serves as a proxy indicator for vegetation photosynthesis and can directly reflect the growth status of vegetation. Using SIF for drought monitoring offers greater potential compared to traditional vegetat
Externí odkaz:
https://doaj.org/article/02788b1888384e06b11f0c91bf10e77f
Publikováno v:
Agronomy, Vol 14, Iss 8, p 1834 (2024)
Accurate and timely prediction of crop yields is crucial for ensuring food security and promoting sustainable agricultural practices. This study developed a winter wheat yield prediction model using machine learning techniques, incorporating remote s
Externí odkaz:
https://doaj.org/article/bfa897202c134a58b8329cf0320b794f
Publikováno v:
Mathematics, Vol 12, Iss 15, p 2370 (2024)
Traditional single image super-resolution (SISR) methods, which focus on integer scale super-resolution, often require separate training for each scale factor, leading to increased computational resource consumption. In this paper, we propose MambaSR
Externí odkaz:
https://doaj.org/article/9569023533a04490832bd54dc2fc3e3e
Autor:
Wenqing Zhang, Xiaoping Lu
Publikováno v:
Water, Vol 16, Iss 13, p 1919 (2024)
The uneven distribution of global navigation satellite system (GNSS) continuous stations in the Yellow River Basin, combined with the sparse distribution of GNSS continuous stations in some regions and the weak far-field load signals, poses challenge
Externí odkaz:
https://doaj.org/article/51493a49a3ab4e0098e56fc6e641dedf
Publikováno v:
Water, Vol 16, Iss 12, p 1694 (2024)
Cities with sloping terrain are more susceptible to flooding during heavy rains. Traditional hydraulic models struggle to meet computational demands when addressing such emergencies. This study presented an integration of the one-dimensional Storm Wa
Externí odkaz:
https://doaj.org/article/0f29bfe6d5e6444485a574f13ab48296