Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Xibo Jin"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4859-4874 (2024)
Monitoring the actual surface deformation caused by subsurface fluid activities is crucial for comprehending the subsurface fluid mutation process. Incorporation of InSAR observations in a prior volume strain model can facilitate the estimation of su
Externí odkaz:
https://doaj.org/article/a71ad2772ae2492ba7b96b5b5a161542
Publikováno v:
Frontiers in Earth Science, Vol 10 (2023)
Accurate inversion of seismic fault parameters has been a challenge in the studies of geophysical non-linear inversion problems. Many non-linear methods such as Simulated Annealing (SA), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and
Externí odkaz:
https://doaj.org/article/cb002e2af87a4cf789c8b346f489dccc
Autor:
Kun Liu, Xibo Jin, Junfeng Jiang, Tianhua Xu, Zhenyang Ding, Yuelang Huang, Zhenshi Sun, Kang Xue, Sichen Li, Tiegen Liu
Publikováno v:
IEEE Sensors Journal. 22:21428-21444
Autor:
Sichen Li, Kun Liu, Junfeng Jiang, Tianhua Xu, Zhenyang Ding, Zhenshi Sun, Yuelang Huang, Kang Xue, Xibo Jin, Tiegen Liu
Publikováno v:
IEEE Sensors Journal. 22:19666-19674
Autor:
Yuelang Huang, Kun Liu, Junfeng Jiang, Zhenshi Sun, Xibo Jin, Kang Xue, Sichen Li, Tiegen Liu
Publikováno v:
2021 International Conference on Optical Instruments and Technology: Optical Sensors and Applications.
Autor:
Sichen Li, Kun Liu, Junfeng Jiang, Zhenshi Sun, Kang Xue, Yuelang Huang, Xibo Jin, Tiegen Liu
Publikováno v:
2021 International Conference on Optical Instruments and Technology: Optical Sensors and Applications.
Autor:
Kang Xue, Kun Liu, Junfeng Jiang, Zhenshi Sun, Yuelang Huang, Sichen Li, Xibo Jin, Tiegen Liu
Publikováno v:
2021 International Conference on Optical Instruments and Technology: Optical Sensors and Applications.
Autor:
Yuelang Huang, Kun Liu, Zhenshi Sun, Tianhua Xu, Junfeng Jiang, Sichen Li, Xibo Jin, Kang Xue, Tiegen Liu
Publikováno v:
Optics and Lasers in Engineering. 160:107302
Publikováno v:
Tectonophysics. 847:229686
Publikováno v:
Journal of Geodynamics. 146:101849
The traditional genetic algorithm and simulated annealing methods have been widely used in geophysical modeling. However, these nonlinear inversion methods require a lot of calculations, many control parameters and are unstable. In this paper, a part