Learning convolutional sparse coding on complex domain for interferometric phase restoration
Interferometric phase restoration has been investigated for decades and most of the state-of-
the-art methods have achieved promising performances for InSAR phase restoration. These …
the-art methods have achieved promising performances for InSAR phase restoration. These …
SAR RFI suppression for extended scene using interferometric data via joint low-rank and sparse optimization
Radio frequency interference (RFI) can significantly pollute synthetic aperture radar (SAR)
data and images, which is also harmful to SAR interferometry (InSAR) for retrieving …
data and images, which is also harmful to SAR interferometry (InSAR) for retrieving …
基于非监督贝叶斯学习雷达性能指标动态评估.
杨磊， 毛欣瑶， 杨晓炜， 张海， 杨菲… - Systems Engineering & …, 2021 - search.ebscohost.com
针对传统雷达性能指标评估方法相对“机械”, 缺乏理论约束, 需要多次重复实验,
导致评估效率较低, 评估成本较高等问题, 提出基于非监督贝叶斯学习方法的雷达性能指标动态 …
导致评估效率较低, 评估成本较高等问题, 提出基于非监督贝叶斯学习方法的雷达性能指标动态 …
Mixed compressive sensing back-projection for SAR focusing on geocoded grid
This article presents a new scheme called 2-D mixed compressive sensing back-projection
(CS-BP-2D), for synthetic aperture radar (SAR) imaging on a geocoded grid, in a single …
(CS-BP-2D), for synthetic aperture radar (SAR) imaging on a geocoded grid, in a single …
Near-Field SAR Image Restoration Based on Two Dimensional Spatial-Variant Deconvolution
W Zhang, X Zhang, X Zhan, Y Xu… - IGARSS 2022-2022 …, 2022 - ieeexplore.ieee.org
Images of near-field SAR contains spatial-variant sidelobes and clutter, subduing the image
quality. Current image restoration methods are only suitable for small observation angle …
quality. Current image restoration methods are only suitable for small observation angle …
Interferometric phase retrieval for multimode InSAR via sparse recovery
Modern spaceborne synthetic aperture radar (SAR) features a capacity of multiple imaging
modes. It comes with Earth-observation data archives consisting of SAR images acquired in …
modes. It comes with Earth-observation data archives consisting of SAR images acquired in …
Near-filed SAR Image Restoration with Deep Learning Inverse Technique: A Preliminary Study
Benefiting from a relatively larger aperture's angle, and in combination with a wide
transmitting bandwidth, near-field synthetic aperture radar (SAR) provides a high-resolution …
transmitting bandwidth, near-field synthetic aperture radar (SAR) provides a high-resolution …
Two Dimensional Sparse-Regularization-Based InSAR Imaging with Back-Projection Embedding
Interferometric Synthetic Aperture Radar (InSAR) Imaging methods are usually based on
algorithms of match-filtering type, without considering the scene's characteristic, which …
algorithms of match-filtering type, without considering the scene's characteristic, which …
Interferometric Phase Restoration for Non-Common Band Imaging Via a Physics-Aware Spectrum Fusion Network
X Ma, X Zhang, X Zhan, Y Ren, J Shi… - IGARSS 2023-2023 …, 2023 - ieeexplore.ieee.org
The Synthetic Aperture Radar (SAR) system has undergone significant advancements,
transitioning into a multi-functional platform with various modes. This study introduces a …
transitioning into a multi-functional platform with various modes. This study introduces a …
An Improved Space-Varying Wiener Range Prefilter Algorithm
L Xia, D Feng, J Li, D An, Z Zhou - 2023 8th International …, 2023 - ieeexplore.ieee.org
In Interferometric Synthetic Aperture Radar (InSAR), prefiltering plays a crucial role in
reducing the noise and improving the coherence of the interferometric phase map. This …
reducing the noise and improving the coherence of the interferometric phase map. This …