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RaNeRF: Neural 3-D reconstruction of space targets from ISAR image sequences
A Liu, S Zhang, C Zhang, S Zhi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Compared to 2-D inverse synthetic aperture radar (ISAR) images of a space target, its 3-D
model can provide adequate details and accurate measurement parameters. However, it is …
model can provide adequate details and accurate measurement parameters. However, it is …
High-resolution ISAR imaging method for maneuvering targets based on a hybrid transformer
H Wang, Y Chen, Y Zhang, Y Luo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Range instantaneous Doppler (RID) methods show superior advantages in imaging
performance over range-Doppler (RD) algorithms for maneuvering targets. However …
performance over range-Doppler (RD) algorithms for maneuvering targets. However …
Fast wideband beamforming using convolutional neural network
X Wu, J Luo, G Li, S Zhang, W Sheng - Remote Sensing, 2023 - mdpi.com
With the wideband beamforming approaches, the synthetic aperture radar (SAR) could
achieve high azimuth resolution and wide swath. However, the performance of conventional …
achieve high azimuth resolution and wide swath. However, the performance of conventional …
Three-dimensional geometry reconstruction method from multi-view isar images utilizing deep learning
The three-dimensional (3D) geometry reconstruction method utilizing ISAR image sequence
energy accumulation (ISEA) shows great performance on triaxial stabilized space targets but …
energy accumulation (ISEA) shows great performance on triaxial stabilized space targets but …
[HTML][HTML] Aircraft detection in SAR images based on peak feature fusion and adaptive deformable network
Due to the unique imaging mechanism of synthetic aperture radar (SAR), targets in SAR
images often shows complex scattering characteristics, including unclear contours …
images often shows complex scattering characteristics, including unclear contours …
3d radio imaging under low-rank constraint
Radio frequency (RF) imaging has been of interest for years due to its ability to create
images of targets without being affected by weather and light conditions. The existing …
images of targets without being affected by weather and light conditions. The existing …
GEO targets ISAR imaging with joint intra-pulse and inter-pulse high-order motion compensation and sub-aperture image fusion at ULCPI
S Shao, H Liu, J Wei - IEEE Transactions on Geoscience and …, 2023 - ieeexplore.ieee.org
The high orbit height leads to the ultralow signal-to-noise ratio (ULSNR) of geosynchronous
(GEO) targets, so it is necessary to increase the coherent processing interval (CPI) to …
(GEO) targets, so it is necessary to increase the coherent processing interval (CPI) to …
2D-DOA estimation in multipath using EMVS rectangle array
Z Zhang, L Zhang, H Wang, J Shi - Remote Sensing, 2023 - mdpi.com
Electromagnetic vector sensor (EMVS) arrays bring an epochal opportunity for direction
finding, as they enable the estimation of two-dimensional direction of arrival (2D-DOA) and …
finding, as they enable the estimation of two-dimensional direction of arrival (2D-DOA) and …
Joint Translational Motion Compensation and High-Resolution ISAR Imaging Based on Sparse Bayesian Learning
Accurate translational motion compensation is crucial to high-resolution inverse synthetic
aperture radar (ISAR) imaging, while complex observation environments generally render …
aperture radar (ISAR) imaging, while complex observation environments generally render …
A direct position determination method using distributed uavs with synchronization error
K Zhu, H Jiang, J Li, F Zhou - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
A direct position determination (DPD) method based on time difference of arrival (TDOA)
using distributed unmanned aerial vehicles (UAVs) equipped with a single antenna is …
using distributed unmanned aerial vehicles (UAVs) equipped with a single antenna is …