Fedfusion: Manifold driven federated learning for multi-satellite and multi-modality fusion

DX Li, W Xie, Y Li, L Fang - IEEE Transactions on Geoscience …, 2023 - ieeexplore.ieee.org
Multi-Satellite, multi-modality in-orbit fusion is a challenging task as it explores the fusion
representation of complex high-dimensional data under limited computational resources …

FedDiff: Diffusion model driven federated learning for multi-modal and multi-clients

D Li, W Xie, Z Wang, Y Lu, Y Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the rapid development of imaging sensor technology in the field of remote sensing,
multi-modal remote sensing data fusion has emerged as a crucial research direction for land …

Self-Supervised Transformers for Unsupervised SAR Complex Interference Detection Using Canny Edge Detector

Y Feng, B Han, X Wang, J Shen, X Guan… - Remote …, 2024 - search.proquest.com
As the electromagnetic environment becomes increasingly complex, a synthetic aperture
radar (SAR) system with wideband active transmission and reception is vulnerable to …

Joint radio frequency interference and deceptive jamming suppression method for single-channel SAR via subpulse coding

G Nie, G Liao, C Zeng, X Zhang… - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
The radio frequency interference (RFI) and deceptive jamming (DJ), as two major external
threats to synthetic aperture radar (SAR) systems, can greatly reduce the readability and …

Robust block subspace filtering for efficient removal of radio interference in synthetic aperture radar images

H Yang, P Lang, X Lu, S Chen, F Xi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Due to spectrum sharing, spaceborne synthetic aperture radar (SAR) often experiences
signal interference emitted by ground radio systems. Interference removal methods for SAR …

MCSNet: A radio frequency interference suppression network for spaceborne SAR images via multi-dimensional feature transform

X Li, J Ran, H Zhang, S Wei - Remote Sensing, 2022 - mdpi.com
Spaceborne synthetic aperture radar (SAR) is a promising remote sensing technique, as it
can produce high-resolution imagery over a wide area of surveillance with all-weather and …

Extension and evaluation of SSC for removing wideband RFI in SLC SAR images

B Chen, Z Lv, P Lu, G Shu, Y Huang, N Li - Remote Sensing, 2022 - mdpi.com
Synthetic aperture radar (SAR), as a wideband radar system, is easily contaminated by radio
frequency interference (RFI), which affects the imaging quality of SAR. The subband spectral …

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 …

Lightweight deep neural network for radio frequency interference detection and segmentation in synthetic aperture radar

F Zheng, Z Zhang, D Zhang - Scientific Reports, 2024 - nature.com
Radio frequency interference (RFI) poses challenges in the analysis of synthetic aperture
radar (SAR) images. Existing RFI suppression systems rely on prior knowledge of the …

[HTML][HTML] Intelligent Detection and Segmentation of Space-Borne SAR Radio Frequency Interference

J Zhao, Y Wang, G Liao, X Liu, K Li, C Yu, Y Zhai… - Remote Sensing, 2023 - mdpi.com
Space-borne synthetic aperture radar (SAR), as an all-weather observation sensor, is an
important means in modern information electronic warfare. Since SAR is a broadband active …