Fusion of INSAR and BDS for Subsidence Deformation Monitoring in Mining Areas: Sistem and Kalman Filtering Method-Reference-Cited by-同舟云学术

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Fusion of INSAR and BDS for Subsidence Deformation Monitoring in Mining Areas: Sistem and Kalman Filtering Method

Published:2022-12-16 Issue: Volume: Page:
ISSN:
Container-title:2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
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Author:

Yu Ye¹,Huaixin Chen¹,Haoyu Wang¹,Chengjie Ren¹,Chengwu Bai²

Affiliation:

1. University of Electronic Science and Technology of China,School of Resources and Environment,Chengdu,China,611731

2. Sichuan Bureau of Work Safety Supervision,Safety Technology Center

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10016263/10016475/10016543.pdf?arnumber=10016543

Reference8 articles.

1. 3D displacement field retrieved by integrating Sentinel-1 InSAR and GPS data: the 2014 South Napa earthquake

2. 3D displacement maps of the 2009 L’Aquila earthquake (Italy) by applying the SISTEM method to GPS and DInSAR data

3. Monitoring system of dam surface Deformation based on Beidou /GNSS and InSAR [J];xun’an;Water Conservancy Information Technology,2019

4. Toward Sustained Monitoring of Subsidence at the Coast Using InSAR and GPS: An Application in Hampton Roads, Virginia

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1. Chord: Category-level Hand-held Object Reconstruction via Shape Deformation;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

2. State of the Art in Dense Monocular Non‐Rigid 3D Reconstruction;Computer Graphics Forum;2023-05

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