An advanced phase synchronization scheme for LT-1
LuTan-1 (LT-1), ie, TwinSAR-L, mission is an innovative spaceborne bistatic synthetic
aperture radar (SAR) mission that is based on two satellites operating at L-band with flexible …
aperture radar (SAR) mission that is based on two satellites operating at L-band with flexible …
SPB-Net: A deep network for SAR imaging and despeckling with downsampled data
K Xiong, G Zhao, Y Wang, G Shi - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) typically faces both large-scale data and speckle noise
problems, which, respectively, induce enormous strains on transmission and storage and …
problems, which, respectively, induce enormous strains on transmission and storage and …
A sparse imaging method for frequency agile SAR
K Zhou, D Li, F He, S Quan, Y Su - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Frequency agility increases the difficulty of jammers to predict and estimate the carrier
frequency and, thus, improves the radar electronic counter-countermeasures (ECCM) …
frequency and, thus, improves the radar electronic counter-countermeasures (ECCM) …
Nonambiguous SAR image formation of maritime targets using weighted sparse approach
For a single-channel synthetic aperture radar (SAR), finite-pulse repetition frequency and
nonideal antenna pattern cause azimuth ambiguities, ie, ghosts in image domain. In this …
nonideal antenna pattern cause azimuth ambiguities, ie, ghosts in image domain. In this …
Lq-SPB-Net: A Real-Time Deep Network for SAR Imaging and Despeckling
K Xiong, G Zhao, Y Wang, G Shi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Large quantities of sampling data and speckle noise are two serious problems existing in
synthetic aperture radar (SAR). The former puts enormous strain on data measurement …
synthetic aperture radar (SAR). The former puts enormous strain on data measurement …
Sampling-based spotlight SAR image reconstruction from phase history data for speckle reduction and uncertainty quantification
V Churchill, A Gelb - SIAM/ASA Journal on Uncertainty Quantification, 2022 - SIAM
Spotlight mode airborne synthetic aperture radar (SAR) is a coherent imaging modality that
is an important tool in remote sensing. Existing methods for spotlight SAR image …
is an important tool in remote sensing. Existing methods for spotlight SAR image …
Accurate SAR image recovery from RFI contaminated raw data by using image domain mixed regularizations
Radio frequency interference (RFI) suppression is a hot topic in synthetic aperture radar
(SAR) imaging. Mathematically, the RFI suppression problem can be considered as an …
(SAR) imaging. Mathematically, the RFI suppression problem can be considered as an …
SAR imaging and despeckling based on sparse, low-rank, and deep CNN priors
K Xiong, G Zhao, Y Wang, G Shi - IEEE Geoscience and …, 2021 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) generally suffers from enormous strains from large quantities
of sampling data and serious interferences from the speckle noise. This letter proposes a …
of sampling data and serious interferences from the speckle noise. This letter proposes a …
Sub-aperture SAR imaging with uncertainty quantification
V Churchill, A Gelb - Inverse Problems, 2023 - iopscience.iop.org
In the problem of spotlight mode airborne synthetic aperture radar (SAR) image formation, it
is well-known that data collected over a wide azimuthal angle violate the isotropic scattering …
is well-known that data collected over a wide azimuthal angle violate the isotropic scattering …
Sparse SAR Imaging Algorithm in Marine Environments Based on Memory-Augmented Deep Unfolding Network
Oceanic targets, including ripples, islands, vessels, and coastlines, display distinct sparse
characteristics, rendering the ocean a significant arena for sparse Synthetic Aperture Radar …
characteristics, rendering the ocean a significant arena for sparse Synthetic Aperture Radar …