Results 41 to 50 of about 131 (85)
Building point cloud reconstruction in TomoSAR based on deep learning semantic segmentation
In this letter, we propose an SAR building point cloud reconstruction method based on deep learning point cloud segmentation. Leveraging the end‐to‐end processing advantage of deep learning, this method achieves automated and efficient detection of building point clouds.
Minan Shi +5 more
wiley +1 more source
After almost two decades of long investigations into 3D imaging of natural environments, synthetic aperture radar (SAR) tomography (TomoSAR) is now at an operational level.
Hossein Aghababaee +2 more
doaj +1 more source
Remote Monitoring of Civil Infrastructure Based on TomoSAR
Structural health monitoring and damage detection tools are extremely important topics nowadays with the civil infrastructure aging and deteriorating problems observed in urban areas.
Alessandra Budillon, Gilda Schirinzi
doaj +1 more source
This paper presents an early warning system to investigate deformations in simply supported concrete girder bridges over time, using the information content provided by satellite data, integrated with other available sources. The safety of the existing bridges is a priority for transportation management companies, which should carry out continuous and ...
Mirko Calò +4 more
wiley +1 more source
Synthetic aperture radar tomography (TomoSAR) is widely used in reconstructing forest vertical structure, but accurately locating both ground and canopy scatterers in dense forest areas remains challenging.
Jie Wan +3 more
doaj +1 more source
Synthetic aperture radar (SAR) tomography has shown great potential in multi-dimensional monitoring of urban infrastructures and detection of their possible slow deformations. Along this line, undeniable improvements in SAR tomography (TomoSAR) detection
Hossein Aghababaei
doaj +1 more source
L1 Minimization with Perturbation for Off-grid Tomographic SAR Imaging
Synthetic Aperture Radar (SAR) Tomography (TomoSAR) is a novel technique that enables three-Dimensional (3-D) imaging using multi-baseline two-Dimensional (2-D) data.
Bang DU +4 more
doaj +1 more source
Statistical Regularization for TomoSAR Imaging With Multiple Polarimetric Observations
The polarimetric versions of focusing techniques for synthetic aperture radar (SAR) tomography (TomoSAR), apart from estimating the pseudopower and retrieving the height of reflectors from the recovered local maxima, allow extracting the associated ...
Gustavo Daniel Martin-del-Campo-Becerra +4 more
doaj +1 more source
Urban SAR Tomography With
Synthetic aperture radar tomography (TomoSAR) technology effectively mitigates issues such as severe layover in high-resolution synthetic aperture radar (SAR) urban imagery, presenting numerous applications in reconstructing complex 3-D urban scenes ...
Rui Guo +5 more
doaj +1 more source
Improvement for UAV Urban SAR Tomography Based on Cylindrical Wave Model With Elevation Constraints
Synthetic aperture radar (SAR) tomography (TomoSAR) technology can solve the layover problem in SAR images and achieve three-dimensional (3D) imaging. Unmanned aerial vehicle (UAV) TomoSAR has developed rapidly in the field of urban surveying and mapping
Rui Guo +5 more
doaj +1 more source

