A Novel Phase Unwrapping Method Used for Monitoring the Land Subsidence in Coal Mining Area Based on U-Net Convolutional Neural Network
Large-scale and high-intensity mining underground coal has resulted in serious land subsidence. It has caused a lot of ecological environment problems and has a serious impact on the sustainable development of economy. Land subsidence cannot be accurately monitored by InSAR (interferometric syntheti...
Guardado en:
Autores principales: | Zhiyong Wang, Lu Li, Yaran Yu, Jian Wang, Zhenjin Li, Wei Liu |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/83f4771200da43eda99e1eda8a40ba91 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A Robust InSAR Phase Unwrapping Method via Phase Gradient Estimation Network
por: Liming Pu, et al.
Publicado: (2021) -
An Improved Phase Unwrapping Method Based on Hierarchical Networking and Constrained Adjustment
por: Wenxiang Mao, et al.
Publicado: (2021) -
Accuracy Verification and Correction of D-InSAR and SBAS-InSAR in Monitoring Mining Surface Subsidence
por: Yang Chen, et al.
Publicado: (2021) -
An Improved Method for Phase Triangulation Algorithm Based on the Coherence Matrix Eigen-Decomposition in Time-Series SAR Interferometry
por: Qian He, et al.
Publicado: (2021) -
Accuracy verification and evaluation of small baseline subset (SBAS) interferometric synthetic aperture radar (InSAR) for monitoring mining subsidence
por: Qiuxiang Tao, et al.
Publicado: (2021)