Results 181 to 190 of about 1,731,534 (251)

Geographically Weighted Random Forest Considering Spatial Heterogeneity for Landslide Susceptibility Assessment: A Case Study in Yingjiang County. [PDF]

Sensors (Basel)
Qian W, Shi M, Huang C, Li H, Huang J.
europepmc   +1 more source

Deep learning-based early warning of tailings storage facility instability using Sentinel-1 and Radarsat-2 InSAR calibrated with a geomechanical model. [PDF]

Sci Rep
Bayaraa M, Sheil B, Rossi C.
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Land Subsidence in the Loess Plateau: SBAS-InSAR Analysis of Yan'an New District During 2017-2022. [PDF]

Sensors (Basel)
Hong Y, Chen P, Yao Y, Qiu L, Liu H, Zhu C, Lu J.   +6 more
europepmc   +1 more source

Interferometric Synthetic Aperture Radar Processor (SARPROZ)

Interferometric Synthetic Aperture Radar Processor (SARPROZ)
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Polarimetric Interferometric Synthetic Aperture Radar

2021
Polarimetric Interferometry SAR (PolInSAR) is a new earth observation technology developed on the basis of polarimetric SAR and interferometric SAR technology [1]. It uses the effective combination of polarization and interference information to obtain three-dimensional structural feature information and scattering information of the observation object.
Ruliang Yang, Bowei Dai, Lulu Tan, Xiuqing Liu, Zhen Yang, Haiying Li   +5 more
openaire   +2 more sources

Interferometric Synthetic Aperture Radar Statistical Inference in Deformation Measurement and Geophysical Inversion: A review

IEEE Geoscience and Remote Sensing Magazine
With the rapid advancements in synthetic aperture radar (SAR) satellites and associated processing algorithms over recent decades, interferometric SAR (InSAR) has emerged as a routine method for monitoring large-scale ground deformation and interpreting ...
Ling Chang, Bochen Zhang, Alfred Stein   +2 more
exaly   +2 more sources

Mining Subsidence Prediction by Combining Support Vector Machine Regression and Interferometric Synthetic Aperture Radar Data

ISPRS International Journal of Geo-Information, 2020
Mining subsidence is time-dependent and highly nonlinear, especially in the Loess Plateau region in Northwestern China. As a consequence, and mainly in building agglomerations, the structures can be damaged severely during or after underground extraction,
Nan Chen, Fei Ma
exaly   +2 more sources

Artificial Intelligence In Interferometric Synthetic Aperture Radar Phase Unwrapping: A Review

IEEE Geoscience and Remote Sensing Magazine, 2021
Interferometric synthetic aperture radar (InSAR) is a radar technique widely used in geodesy and remote sensing applications, e.g., topography reconstruction and subsidence estimation.
Lifan Zhou, Hanwen Yu, Yang Lan, Mengdao Xing   +3 more
semanticscholar   +1 more source

Toward Fine Surveillance: A review of multitemporal interferometric synthetic aperture radar for infrastructure health monitoring

IEEE Geoscience and Remote Sensing Magazine, 2022
With improvements in synthetic aperture radar (SAR) image resolutions and multitemporal SAR interferometry (MTInSAR) algorithms, it becomes feasible to generate 3D point clouds with millimeter deformation accuracy to monitor urban infrastructure health ...
Peifeng Ma, Hui Lin, Weixi Wang, Hanwen Yu, Fulong Chen, Li-Ming Jiang, Lifan Zhou, Zhengjia Zhang, Guoqiang Shi, Ji-Li Wang   +9 more
semanticscholar   +1 more source

A Review of Interferometric Synthetic Aperture RADAR (InSAR) Multi-Track Approaches for the Retrieval of Earth’s Surface Displacements

Applied Sciences (Switzerland), 2017
Synthetic Aperture RADAR Interferometry (InSAR) provides a unique tool for the quantitative measurement of the Earth’s surface deformations induced by a variety of natural (such as volcanic eruptions, landslides and earthquakes) and anthropogenic (e.g ...
Fabiana Calò, Antonio Pepe
exaly   +2 more sources