Deriving Mining-Induced 3-D Deformations at Any Moment and Assessing Building Damage by Integrating Single InSAR Interferogram and Gompertz Probability Integral Model (SII-GPIM)-Reference-Cited by-同舟云学术

Deriving Mining-Induced 3-D Deformations at Any Moment and Assessing Building Damage by Integrating Single InSAR Interferogram and Gompertz Probability Integral Model (SII-GPIM)

Published:2022 Issue: Volume:60 Page:1-17
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wang Jian¹^ORCID,Yan Li¹^ORCID,Yang Keming²^ORCID,Tang Wei²^ORCID,Xie Hong¹^ORCID,Yao Shuyi³,Xu Zhihua²^ORCID,Yang Jianbing¹^ORCID

Affiliation:

1. School of Geodesy and Geomatics, Wuhan University, Wuhan, China

2. College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing, China

3. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09968281.pdf?arnumber=9968281

Reference71 articles.

1. An Extension of the InSAR-Based Probability Integral Method and Its Application for Predicting 3-D Mining-Induced Displacements Under Different Extraction Conditions

2. Maximum likelihood estimation for SAR interferometry

3. Retrieval of phase history parameters from distributed scatterers in urban areas using very high resolution SAR data

4. Analysis of the Decadal Kinematic Characteristics of the Daguangbao Landslide Using Multiplatform Time Series InSAR Observations After the Wenchuan Earthquake

5. Joint exploitation of space-borne and ground-based multitemporal InSAR measurements for volcano monitoring: The Stromboli volcano case study

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