Results 41 to 50 of about 3,875 (181)

Molybdenum isotopes unmask slab dehydration and melting beneath the Mariana arc

Nature Communications, 2021
A deep neural network is developed to automatically extract ground deformation from Interferometric Synthetic Aperture Radar time series. Applied to data over the North Anatolian Fault, the method can detect 2 mm deformation transients and reveals a slow
Hong-Yan Li, Rui-Peng Zhao, Jie Li, Yoshihiko Tamura, Christopher Spencer, Robert J. Stern, Jeffrey G. Ryan, Yi-Gang Xu   +7 more
doaj   +1 more source

Editorial for the Special Issue: “Ground Deformation Patterns Detection by InSAR and GNSS Techniques”

Remote Sensing, 2022
In the last two decades, the rapid growth in continuous Global Navigation Satellite Systems (GNSS) networks and improvements in Interferometric Synthetic Aperture Radar (InSAR) imaging allowed the acquisition of continuous and spatially extensive ...
Mimmo Palano
doaj   +1 more source

Glaciological advances made with interferometric synthetic aperture radar [PDF]

Journal of Glaciology, 2010
AbstractSpaceborne interferometric synthetic aperture radar (InSAR) techniques for measuring ice flow velocity and topography have developed rapidly over the last decade and a half, revolutionizing the study of ice dynamics. Spaceborne interferometry has contributed to major progress in many areas of glaciological study by: providing the first ...
Ian Joughin, Ben E. Smith, Waleed Abdalati   +2 more
openaire   +1 more source

Phase Linking in Multipolarimetric Multibaseline Joint Scatterer Interferometric Synthetic Aperture Radar

Journal of Remote Sensing
Time-series interferometric synthetic aperture radar technology can monitor surface deformation with millimeter-level accuracy. To overcome the low point density associated with permanent scatterer technology, phase linking (PL) algorithms are used in ...
Feiyang Xue, Huaijun Ji, Xiaolei Lv, Wei Duan, Jinbao Zhang   +4 more
doaj   +1 more source

Autonomous extraction of millimeter-scale deformation in InSAR time series using deep learning

Nature Communications, 2021
A deep neural network is developed to automatically extract ground deformation from Interferometric Synthetic Aperture Radar time series. Applied to data over the North Anatolian Fault, the method can detect 2 mm deformation transients and reveals a slow
Bertrand Rouet-Leduc, Romain Jolivet, Manon Dalaison, Paul A. Johnson, Claudia Hulbert   +4 more
doaj   +1 more source

Current Development in Airborne Repeat-pass Interferometric Synthetic Aperture Radar

Leida xuebao, 2013
Due to its agility, flexibility and accuracy, airborne repeat-pass Interferometric Synthetic Aperture Radar (InSAR) is capable of overcoming the disadvantages of long revisit time and low resolution in space-borne SAR interferometry, and play an ...
Zhong Xue-lian, Xiang Mao-sheng, Guo Hua-dong, Chen Ren-yuan   +3 more
doaj   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

Archaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source

Multiview Three-Dimensional Interferometric Inverse Synthetic Aperture Radar

IEEE Transactions on Aerospace and Electronic Systems, 2019
Three-dimensional (3D) inverse synthetic aperture radar (ISAR) imaging has been proven feasible by combining traditional ISAR imaging and interferometry. Such technique, namely Inteferometric ISAR (InISAR), allows for the main target scattering centers to be mapped into a 3-D spatial domain, therefore forming 3-D images under the form of 3-D point ...
Federica Salvetti, Marco Martorella, Elisa Giusti, Daniele Staglianò   +3 more
openaire   +2 more sources

Performance Analysis of Flat Surface Assumption and Residual Motion Errors on Airborne Repeat-pass InSAR

Leida xuebao, 2013
When applying to the airborne repeat-pass Interferometric Synthetic Aperture Radar (InSAR), which has long synthetic aperture and large azimuth-dependent errors, the surface assumption used to simply the time-domain algorithm model and the residual ...
Lin Xue, Li Fang-fang, Hu Dong-hui, Ding Chi-biao   +3 more
doaj   +1 more source

Review of millimeter‐wave and terahertz near‐field synthetic aperture radar imaging technology

InfoScience, EarlyView.
Abstract This paper comprehensively reviews the development of millimeter‐wave (MMW) and terahertz (THz) near‐field imaging technologies, with an emphasis on the state of synthetic aperture radar (SAR)‐based imaging technologies. Near‐field imaging technologies are categorized into passive and active imaging modes, among which active imaging is favored
Qi Yang, Hongqiang Wang, Xu Chen, Xin Peng   +3 more
wiley   +1 more source