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Monitoring Subsidence Deformation of Suzhou Subway Using InSAR Timeseries Analysis

Authors : Xiaobo Xu; Chao Ma; Dezheng Zhao

Subjects: Synthetic aperture radar; 010504 meteorology & atmospheric sciences; General Computer Science

Source: IEEE Access, Vol 9, Pp 3400-3416 (2021)

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Can Machine Learning and PS-InSAR Reliably Stand in for Road Profilometric Surveys?

Authors : M. Maboudi; Nicholas Fiorentini; Massimo Losa

Subjects: Synthetic aperture radar; 010504 meteorology & atmospheric sciences; Computer science

Source: SensorsVolume 21Issue 10Sensors, Vol 21, Iss 3377, p 3377 (2021)Sensors (Basel, Switzerland)

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Toward a Comprehensive Dam Monitoring: On-Site and Remote-Retrieved Forcing Factors and Resulting Displacements (GNSS and PS–InSAR)

Authors : Fulvio Capodici; Antonino Maltese; Gino Dardanelli ...

Subjects: 010504 meteorology & atmospheric sciences; Landsat TIRS; Science

Source: Remote Sensing, Vol 13, Iss 1543, p 1543 (2021)Remote Sensing; Volume 13; Issue 8; Pages: 1543

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Ionospheric correction of ALOS‐2 full‐aperture ScanSAR interferometric data for surface deformation measurement in Beijing

Authors : Shuang Zhao; Jiaqi Ning; Jili Wang

Subjects: 010504 meteorology & atmospheric sciences; nonlocal filtering; 0211 other engineering and technologies

Source: The Journal of Engineering (2019)

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Detection of Seasonal Deformation of Highway Overpasses Using the PS-InSAR Technique: A Case Study in Beijing Urban Area

Authors : Yinghai Ke; Lin Zhu; Mingyuan Lyu

Subjects: 010504 meteorology & atmospheric sciences; 0211 other engineering and technologies; 02 engineering and technology

Source: Remote Sensing, Vol 12, Iss 3071, p 3071 (2020)Remote Sensing; Volume 12; Issue 18; Pages: 3071

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ASSESSING RESILIENCE OF INFRASTRUCTURES TOWARDS EXOGENOUS EVENTS BY USING PS-INSAR-BASED SURFACE MOTION ESTIMATES AND MACHINE LEARNING REGRESSION TECHNIQUES

Authors : Massimo Losa; Nicholas Fiorentini; M. Maboudi

Subjects: lcsh:Applied optics. Photonics; 010504 meteorology & atmospheric sciences; Computer science

Source: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-4-2020, Pp 19-26 (2020)

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Ground Subsidence Analysis in Tianjin (China) Based on Sentinel-1A Data Using MT-InSAR Methods

Authors : Yuxin Zhang; Dong Li; Chao Wang

Subjects: 010504 meteorology & atmospheric sciences; GNSS augmentation; 0211 other engineering and technologies

Source: Applied Sciences, Vol 10, Iss 5514, p 5514 (2020)Applied SciencesVolume 10Issue 16

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MASSIVE LINKING OF PS-INSAR DEFORMATIONS TO A NATIONAL AIRBORNE LASER POINT CLOUD

Authors : A. L. van Natijne; Ramon F. Hanssen; Roderik Lindenbergh

Subjects: lcsh:Applied optics. Photonics; 010504 meteorology & atmospheric sciences; 0211 other engineering and technologies

Source: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2, Pp 1137-1144 (2018)International Archives of the Photogrammetry, Remote Sensing and

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A Model for Complex Subsidence Causality Interpretation Based on PS-InSAR Cross-Heading Orbits Analysis

Authors : Timo Balz; Ali Younes; Bahaa Mohamadi

Subjects: Heading (navigation); 010504 meteorology & atmospheric sciences; 0211 other engineering and technologies

Source: Remote Sensing, Vol 11, Iss 17, p 2014 (2019)Remote SensingVolume 11Issue 17Pages: 2014

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Using PS-InSAR with Sentinel-1 Images for Deformation Monitoring in Northeast Algeria

Authors : Timo Balz; Omar Beladam; Bahaa Mohamadi

Subjects: landslide; 010504 meteorology & atmospheric sciences; 0211 other engineering and technologies

Source: GeosciencesVolume 9Issue 7Geosciences, Vol 9, Iss 7, p 315 (2019)

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