Results 271 to 280 of about 59,582 (306)

Study on the linkage mechanism between key strata fracture in overburden and surface subsidence during caving mining in extra-thick coal seams. [PDF]

Sci Rep
Lan T, Zhang Z, Guo W, Li Z, Wu G, Fang P.   +5 more
europepmc   +1 more source

Extensive off-fault damage around the 2023 Kahramanmaraş earthquake surface ruptures. [PDF]

Nat Commun
Liu J, Jónsson S, Li X, Yao W, Klinger Y.   +4 more
europepmc   +1 more source

Variability in interseismic strain accumulation rate and style along the Altyn Tagh Fault. [PDF]

Nat Commun
Shen L, Hooper A, Elliott JR, Wright TJ.
europepmc   +1 more source

Integrated high-precision monitoring method for surface subsidence in mining areas using D-InSAR, SBAS, and UAV technologies. [PDF]

Sci Rep
Zhu M, Yu X, Tan H, Yuan J.
europepmc   +1 more source

Revealing the Ground Deformation and Its Mechanism in the Heihe River Basin by Interferometric Synthetic Aperture Radar and Optical Images. [PDF]

Sensors (Basel)
Cui Q, Wang Y, Wang P, Tan K, Feng G.
europepmc   +1 more source

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A ConvLSTM Neural Network Model for Spatiotemporal Prediction of Mining Area Surface Deformation Based on SBAS-InSAR Monitoring Data

IEEE Transactions on Geoscience and Remote Sensing, 2023
The surface deformation caused by underground mining leads to damage to surface buildings and brings potential safety hazards and property losses. The demand for reliable prediction methods of surface deformation in mining areas is becoming increasingly ...
Sheng Yao, Yi He, Lifeng Zhang, Wang Yang, Yi Chen, Qiang Sun, Zhan'ao Zhao, Shengpeng Cao   +7 more
semanticscholar   +1 more source

Deep Learning-Based Branch-Cut Method for InSAR Two-Dimensional Phase Unwrapping

IEEE Transactions on Geoscience and Remote Sensing, 2022
Two-dimensional (2-D) phase unwrapping (PU) is a critical processing step for many synthetic aperture radar (SAR) interferometry (InSAR) applications. As is well known, the traditional 2-D PU is an ill-posed inverse problem, which means that regardless ...
Lifan Zhou, Hanwen Yu, Yang Lan, M. Xing
semanticscholar   +1 more source

CANet: An Unsupervised Deep Convolutional Neural Network for Efficient Cluster-Analysis-Based Multibaseline InSAR Phase Unwrapping

IEEE Transactions on Geoscience and Remote Sensing, 2022
Multibaseline (MB) phase unwrapping (PU) is a vital processing procedure for MB synthetic aperture radar interferometry (InSAR) signal processing and can improve the traditional InSAR by changing the ill-posed problem to the well-posed problem.
Lifan Zhou, Hanwen Yu, Yang Lan, Shengrong Gong, M. Xing   +4 more
semanticscholar   +1 more source