A review of time-series interferometric SAR techniques: A tutorial for surface deformation analysis

F Xue, X Lv, F Dou, Y Yun - IEEE Geoscience and Remote …, 2020 - ieeexplore.ieee.org
Over the past two decades, the time-series interferometric synthetic aperture radar (InSAR)
technique has been developed to estimate surface deformation parameters. Because of its …

From interferometric to tomographic SAR: A review of synthetic aperture radar tomography-processing techniques for scatterer unmixing in urban areas

C Rambour, A Budillon, AC Johnsy… - … and Remote Sensing …, 2020 - ieeexplore.ieee.org
Cross-track synthetic aperture radar (SAR) interferometry is a powerful technique that
analyzes the phase shift each pixel undergoes between acquisitions of the same scene with …

Detection of crop seeding and harvest through analysis of time-series Sentinel-1 interferometric SAR data

J Shang, J Liu, V Poncos, X Geng, B Qian, Q Chen… - Remote Sensing, 2020 - mdpi.com
Synthetic aperture radar (SAR) is more sensitive to the dielectric properties and structure of
the targets and less affected by weather conditions than optical sensors, making it more …

Potential of remote sensing data to support the seismic safety assessment of reinforced concrete buildings affected by slow-moving landslides

A Mele, A Miano, D Di Martire, D Infante… - Archives of Civil and …, 2022 - Springer
Different forms of hazard can affect structures throughout their existence. The occurrence of
a seismic event in areas exposed to different risks or already affected by other phenomena …

DACLnet: A Dual-Attention-Mechanism CNN-LSTM Network for the Accurate Prediction of Nonlinear InSAR Deformation.

J Lu, Y Wang, Y Zhu, J Liu, Y Xu, H Yang… - Remote …, 2024 - search.ebscohost.com
Nonlinear deformation is a dynamically changing pattern of multiple surface deformations
caused by groundwater overexploitation, underground coal mining, landslides, urban …

Testing Sentinel-1 SAR interferometry data for airport runway monitoring: a geostatistical analysis

V Gagliardi, L Bianchini Ciampoli, S Trevisani… - Sensors, 2021 - mdpi.com
Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) techniques are gaining
momentum in the assessment and health monitoring of infrastructure assets. Amongst …

[HTML][HTML] Analysis of regional large-gradient land subsidence in the Alto Guadalentín Basin (Spain) using open-access aerial LiDAR datasets

L Hu, MI Navarro-Hernández, X Liu, R Tomás… - Remote Sensing of …, 2022 - Elsevier
Land subsidence associated with groundwater overexploitation in the Alto Guadalentín
Basin (Spain) aquifer system has been detected during the last decades. In this work, for the …

A novel framework for landslide displacement prediction using MT-InSAR and machine learning techniques

C Zhou, Y Cao, L Gan, Y Wang, M Motagh… - Engineering …, 2024 - Elsevier
The prediction of landslide deformation is an important part of landslide early warning
systems. Displacement prediction based on geotechnical in-situ monitoring performs well …

Non-linear phase linking using joined distributed and persistent scatterers

S Mirzaee, F Amelung, H Fattahi - Computers & geosciences, 2023 - Elsevier
We describe a python package for nonlinear phase linking of full resolution SAR images
using both distributed and persistent scatterers. In the workflow, the first step is to find for …

[HTML][HTML] A review of ten-year advances of multi-baseline SAR interferometry using TerraSAR-X data

XX Zhu, Y Wang, S Montazeri, N Ge - Remote Sensing, 2018 - mdpi.com
Since its launch in 2007, TerraSAR-X has continuously provided spaceborne synthetic
aperture radar (SAR) images of our planet with unprecedented spatial resolution, geodetic …