Prediction of InSAR deformation time-series using a long short-term memory neural network-Reference-Cited by-同舟云学术

Prediction of InSAR deformation time-series using a long short-term memory neural network

Published:2021-07-07 Issue:18 Volume:42 Page:6919-6942
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Chen Yi¹²³^ORCID,He Yi¹²³,Zhang Lifeng¹²³,Chen Youdong¹²³,Pu Hongyu¹²³,Chen Baoshan¹²³,Gao Liya¹²³

Affiliation:

1. Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, China

2. National-LocalJoint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou Jiaotong University, Lanzhou, China

3. Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou Jiaotong University, Lanzhou, China

Funder

Tianyou innovation team of Lanzhou Jiaotong University

Yi He

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2021.1947540

Reference47 articles.

1. On Integration of Geodetic Observation Results for Assessment of Land Subsidence Hazard Risk in Urban Areas of Indonesia

2. InSAR time-series analysis of land subsidence in Bangkok, Thailand

3. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms

4. Land subsidence in central Mexico detected by ALOS InSAR time-series

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