Safe: Synergic data filtering for federated learning in cloud-edge computing
With the increasing data scale in the Industrial Internet of Things, edge computing
coordinated with machine learning is regarded as an effective way to raise the novel latency …
coordinated with machine learning is regarded as an effective way to raise the novel latency …
MRPT: Millimeter-wave radar-based pedestrian trajectory tracking for autonomous urban driving
Pedestrians represent agile and low-observable targets, especially under adverse weather
conditions, whose trajectory tracking plays a crucial role in determining pedestrian behavior …
conditions, whose trajectory tracking plays a crucial role in determining pedestrian behavior …
High performance computing in satellite SAR interferometry: A critical perspective
Synthetic aperture radar (SAR) interferometry has rapidly evolved in the last decade and can
be considered today as a mature technology, which incorporates computationally intensive …
be considered today as a mature technology, which incorporates computationally intensive …
Time and path prediction of landslides using InSAR and flow model
Landslides originating from remote steep slopes render people living downhill vulnerable,
unaware of the impending danger. Identifications of slow-moving mountain slopes are …
unaware of the impending danger. Identifications of slow-moving mountain slopes are …
STIF: A Spatial–Temporal Integrated Framework for End-to-End Micro-UAV Trajectory Tracking and Prediction With 4-D MIMO Radar
The early trajectory prediction of micro unmanned aerial vehicles (micro-UAVs) with random
behavior intentions facilitates the elimination of potential safety hazards. However, due to …
behavior intentions facilitates the elimination of potential safety hazards. However, due to …
An InSAR interferogram filtering method based on multi-level feature fusion CNN
Interferogram filtering is an essential step in processing data from interferometric synthetic
aperture radar (InSAR), which greatly improves the accuracy of terrain reconstruction and …
aperture radar (InSAR), which greatly improves the accuracy of terrain reconstruction and …
An adaptive particle filter for target tracking based on double space-resampling
Z Gong, G Gao, M Wang - IEEE Access, 2021 - ieeexplore.ieee.org
Particle filter has been widely applied in nonlinear target tracking due to the ability to carry
multiple hypothesis and relaxation of linearity/Gaussian assumption. In this paper, an …
multiple hypothesis and relaxation of linearity/Gaussian assumption. In this paper, an …
A deep convolutional neural network with multiscale feature dynamic fusion for InSAR phase filtering
Interferometric phase filtering is a crucial step in the interferometric synthetic aperture radar
(InSAR) data processing, which is also important for improving the accuracy of topography …
(InSAR) data processing, which is also important for improving the accuracy of topography …
A Deep-Learning Neural Network for Postseismic Deformation Reconstruction from InSAR Time Series
C Li, X Xi, G Zhang, X Song… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Residual noise effect in interferometric synthetic aperture radar (InSAR) time-series data
typically complicates the characterization of deformation behaviors on tectonic faults …
typically complicates the characterization of deformation behaviors on tectonic faults …
RETA: 4D Radar-Based End-to-End Joint Tracking and Activity Estimation for Low-Observable Pedestrian Safety in Cluttered Traffic Scenarios
Z Zhang, H Lai, D Huang, X Fang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the small radar cross Section (RCS), pedestrians are typical low-observable traffic
participants for radar-based automotive perception systems. The early detection and …
participants for radar-based automotive perception systems. The early detection and …