An radio frequency interference mitigation approach for spaceborne SAR system in low SINR condition
Y Mao, Y Huang, X Yu, Y Xin, Y Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) is a kind of active imaging radar, which can obtain high-
resolution wide-swath SAR images, especially for spaceborne SAR systems. In practical …
resolution wide-swath SAR images, especially for spaceborne SAR systems. In practical …
Ultra-Wideband Mutual RFI Mitigation Between SAR Satellites: From the Perspective of European Sentinel-1A
N Li, X Hu - IEEE Transactions on Geoscience and Remote …, 2024 - ieeexplore.ieee.org
In the data processing of spaceborne synthetic aperture radar (SAR), radio frequency
interference (RFI) will seriously affect amplitude, phase, and other information, thereby …
interference (RFI) will seriously affect amplitude, phase, and other information, thereby …
Automatic RFI identification for Sentinel-1 based on Siamese-type deep CNN using repeat-pass images
Since the start of the Sentinel-1 (S-1) mission, numerous cases of severe image degradation
caused by radio frequency interference (RFI) have been reported, which puts forward an …
caused by radio frequency interference (RFI) have been reported, which puts forward an …
Characterization and removal of RFI artifacts in radar data via model-constrained deep learning approach
M Tao, J Li, J Su, L Wang - Remote Sensing, 2022 - mdpi.com
Microwave remote sensing instruments such as synthetic aperture radar (SAR) play an
important role in scientific research applications, while they suffer great measurement …
important role in scientific research applications, while they suffer great measurement …
Ship Detection in Spaceborne SAR Images under Radio Interference Environment Based on CFAR
Spaceborne synthetic aperture radar (SAR) can be easily interfered with by narrowband
radio frequency interference (RFI) from ground radiation sources, causing significant …
radio frequency interference (RFI) from ground radiation sources, causing significant …
A Novel Group-Parametric Model for RFI Suppression on Spaceborne SAR
Y Mao, Y Huang, X Yu, X Chen, Z Zhang… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
As an advanced remote sensing technology, synthetic aperture radar (SAR) generates high-
resolution images by transmitting continuous electromagnetic waves towards the target …
resolution images by transmitting continuous electromagnetic waves towards the target …
Radio Frequency Interference Mitigation in SAR Systems via Multi-Polarization Framework
Synthetic aperture radar (SAR) is a type of active microwave remote sensing imaging radar
that can generate 2-D high-resolution images. Its ability to operate in all weather conditions …
that can generate 2-D high-resolution images. Its ability to operate in all weather conditions …
A Two-Stage Approach for TSNB and ITWB RFI Mitigation in P-and L-Band SAR Data
Z Lv, Z Zhang, H Fan, Z Chen, J Qiu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
P-and L-band synthetic aperture radar (SAR) sensors have foliage-and ground-penetrating
imaging capabilities and, thus, contribute to missions, such as deforestation monitoring …
imaging capabilities and, thus, contribute to missions, such as deforestation monitoring …
A Sparse Recovery Algorithm for Suppressing Multiple Linear Frequency Modulation Interference in the Synthetic Aperture Radar Image Domain
G Tong, X Lu, J Yang, W Yu, H Gu, W Su - Sensors, 2024 - mdpi.com
In synthetic aperture radar (SAR) signal processing, compared with the raw data of level-0,
level-1 SAR images are more readily accessible and available in larger quantities. However …
level-1 SAR images are more readily accessible and available in larger quantities. However …
Range-ambiguity suppression for SAR using joint sparse recovery
G Tong, X Lu, R Li, Y Wang, H Gu, W Su - Remote Sensing Letters, 2023 - Taylor & Francis
Dealing with range ambiguity is a hot issue in SAR signal processing. One limitation of
current algorithms is their poor robustness to noise and the energy of ambiguous targets …
current algorithms is their poor robustness to noise and the energy of ambiguous targets …