Enhanced radar imaging using a complex-valued convolutional neural network
J Gao, B Deng, Y Qin, H Wang… - IEEE Geoscience and …, 2018 - ieeexplore.ieee.org
Convolutional neural networks (CNN) have successfully been employed to tackle several
remote sensing tasks such as image classification and show better performance than …
remote sensing tasks such as image classification and show better performance than …
Machine learning and deep learning techniques for colocated MIMO radars: A tutorial overview
A Davoli, G Guerzoni, GM Vitetta - IEEE Access, 2021 - ieeexplore.ieee.org
Radars are expected to become the main sensors in various civilian applications, ranging
from health-care monitoring to autonomous driving. Their success is mainly due to the …
from health-care monitoring to autonomous driving. Their success is mainly due to the …
Fast inverse-scattering reconstruction for airborne high-squint radar imagery based on Doppler centroid compensation
Y Zhang, J Luo, J Li, D Mao, Y Zhang… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
Cross-resolution enhancement for airborne high-squint radar (AHSR) imagery is
mathematically equivalent to the ill-conditioned problem of inverse-scattering reconstruction …
mathematically equivalent to the ill-conditioned problem of inverse-scattering reconstruction …
SAE-Net: A deep neural network for SAR autofocus
W Pu - IEEE Transactions on Geoscience and Remote …, 2022 - ieeexplore.ieee.org
The sparsity-driven technique is a widely used tool to solve the synthetic aperture radar
(SAR) imaging problem. However, it always encounters sensitivity to motion errors. To solve …
(SAR) imaging problem. However, it always encounters sensitivity to motion errors. To solve …
Super-resolution surface mapping for scanning radar: Inverse filtering based on the fast iterative adaptive approach
Y Zhang, Y Zhang, W Li, Y Huang… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
High-resolution scanning radar mapping of the surface is an effective tool for addressing
concerns in local environmental and social investigation fields. Regrettably, the azimuth …
concerns in local environmental and social investigation fields. Regrettably, the azimuth …
Jointly using low-rank and sparsity priors for sparse inverse synthetic aperture radar imaging
W Qiu, J Zhou, Q Fu - IEEE Transactions on Image Processing, 2019 - ieeexplore.ieee.org
The inverse synthetic aperture radar (ISAR) imaging technique of a moving target with
sparse sampling data has attracted wide attention due to its ability to reduce the data …
sparse sampling data has attracted wide attention due to its ability to reduce the data …
Super-resolution ISAR imaging for maneuvering target based on deep-learning-assisted time–frequency analysis
Traditional range-instantaneous Doppler (RID) methods for maneuvering target imaging
suffer from the problems of low resolution and poor noise suppression. We propose a new …
suffer from the problems of low resolution and poor noise suppression. We propose a new …
Airborne forward-looking radar super-resolution imaging using iterative adaptive approach
Y Zhang, D Mao, Q Zhang, Y Zhang… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
Airborne forward-looking radar (AFLR) imaging has raised many concerns in fields of Earth
observation, independent of weather and daytime. Constrained by imaging principles …
observation, independent of weather and daytime. Constrained by imaging principles …
Quasi-polar-based FFBP algorithm for miniature UAV SAR imaging without navigational data
Because of flexible geometric configuration and trajectory designation, time-domain
algorithms become popular for unmanned aerial vehicle (UAV) synthetic aperture radar …
algorithms become popular for unmanned aerial vehicle (UAV) synthetic aperture radar …
Sub-Nyquist radar systems: Temporal, spectral, and spatial compression
Radar is an acronym for" radio detection and ranging." However, the functions of today's
radar systems, both in civilian and military applications, go beyond simple target detection …
radar systems, both in civilian and military applications, go beyond simple target detection …