Research on Prediction of Surface Deformation in Mining Areas Based on TPE-Optimized Integrated Models and Multi-Temporal InSAR

Research on Prediction of Surface Deformation in Mining Areas Based on TPE-Optimized Integrated Models and Multi-Temporal InSAR

The prevailing research on forecasting surface deformations within mining territories predominantly hinges on parameter-centric numerical models, which manifest constraints concerning applicability and parameter reliability. Although Multi-Temporal InSAR (MT-InSAR) technology furnishes an abundance...

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Bibliographic Details
Main Authors: Sichun Long, Maoqi Liu, Chaohui Xiong, Tao Li, Wenhao Wu, Hongjun Ding, Liya Zhang, Chuanguang Zhu, Shide Lu
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Remote Sensing
Subjects:
surface deformation
ensemble learning
multi-temporal InSAR
bagging
causality test
Online Access:https://www.mdpi.com/2072-4292/15/23/5546

Internet

https://www.mdpi.com/2072-4292/15/23/5546

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