An Automatic Spatial-Temporal Evolution Inversion Method of Mining Goaf Based on the Improved Hotspot Analysis and Probability Integral Method

An Automatic Spatial-Temporal Evolution Inversion Method of Mining Goaf Based on the Improved Hotspot Analysis and Probability Integral Method

Mining activities may cause severe ground subsidence, endangering surface structures, and farmlands. Therefore, the acquisition of spatial-temporal evolution of the mining goaf is of great significance. Hotspot analysis (HSA) based on the Getis-Ord G<inline-formula><tex-math notation="...

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Bibliographic Details
Main Authors: Lu Li, Jili Wang, Heng Zhang, Yi Zhang, Yingjie Wang, Yuanzhao Fu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Goaf identification
hotspot analysis (HSA)
probability integral method (PIM)
time series interferometric synthetic aperture radar (TS-InSAR)
Online Access:https://ieeexplore.ieee.org/document/10321674/

Internet

https://ieeexplore.ieee.org/document/10321674/

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