Results 281 to 290 of about 9,215,645 (352)

Multi-Channel Back-Projection Algorithm for mmWave Automotive MIMO SAR Imaging With Doppler-Division Multiplexing

IEEE Journal on Selected Topics in Signal Processing, 2023
Due to the low-cost and compact size, millimeter-wave radar is gaining increasing attention in automotive applications. Compared with the array imaging technique, synthetic aperture radar (SAR) takes advantage of high resolution, low system complexity ...
Bangjie Zhang, Gang Xu, Rui Zhou, Hui Zhang, W. Hong   +4 more
semanticscholar   +1 more source

Deep SAR Imaging and Motion Compensation

IEEE Transactions on Image Processing, 2021
Compressive sensing (CS) and matrix sensing (MS) techniques have been applied to the synthetic aperture radar (SAR) imaging problem to reduce the sampling amount of SAR echo using the sparse or low-rank prior information.
Wei Pu
semanticscholar   +1 more source

Target-Oriented SAR Imaging for SCR improvement via Deep MF-ADMM-Net

IEEE Transactions on Geoscience and Remote Sensing, 2022
Synthetic Aperture Radar (SAR) is an important means for target surveillance through reconstructing the microwave image of the observation area. However, under the condition of low signal-to-clutter ratio (SCR), such as a strong sea clutter situation, it
Min Li, Junjie Wu, Weibo Huo, Ruili Jiang, Zhongyu Li, Jianyu Yang, Huiyong Li   +6 more
semanticscholar   +1 more source

High-Squint SAR Imaging of Maritime Ship Targets

IEEE Transactions on Geoscience and Remote Sensing, 2022
High-squint synthetic aperture radar (HS-SAR) imaging technology greatly enhances the flexibility of SAR. However, the existing HS-SAR imaging algorithms are generally based on the assumption that the illuminated target is static during the synthetic ...
Xinbo Xu, Fulin Su, Jian-Jun Gao, Xinfei Jin   +3 more
semanticscholar   +1 more source

SAR Imaging Based on Deep Unfolded Network With Approximated Observation

IEEE Transactions on Geoscience and Remote Sensing, 2022
Compressed sensing (CS)-based synthetic aperture radar (SAR) imaging methods are showing superior potential in imaging performance over classical matched filtering-based methods. However, the CS-based methods require much more computational cost to solve
Le Kang, Tianchi Sun, Ying Luo, Jiacheng Ni, Qun Zhang   +4 more
semanticscholar   +1 more source

A 3-D Sparse SAR Imaging Method Based on Plug-and-Play

IEEE Transactions on Geoscience and Remote Sensing, 2022
In recent years, 3-D synthetic aperture radar (SAR) imaging has proved its great potential in monitoring, security inspection, and radar cross section (RCS) measurement. However, 3-D SAR images based on matched filter (MF) methods have high sidelobes and
Yangyang Wang, Zhiming He, Xu Zhan, Qiangqiang Zeng, Yunqiao Hu   +4 more
semanticscholar   +1 more source

Efficient SAR Imaging Integrated With Autofocus via Compressive Sensing

IEEE Geoscience and Remote Sensing Letters, 2022
In synthetic aperture radar (SAR) imaging, perturbations in the motion of the moving platform induce an undesired phase error due to imprecise knowledge of the motion, which results in the significant degradations in the quality of SAR images.
M. Kang, Jae-Min Baek
semanticscholar   +1 more source

RADARSAT (SAR imaging)

Proceedings of the IEEE, 1991
RADARSAT, the first Canadian remote-sensing spacecraft, is designed to provide Earth observation information for five years. The satellite is scheduled for launch in 1994. The only payload instrument is a 5.6-cm-wavelength (C-band) synthetic aperture imaging radar (SAR). RADARSAT will gather data on command for up to 28 min during each cycle of its 800-
R. Keith Raney, Anthony P. Luscombe, E. J. Langham, Shabeer Ahmed   +3 more
openaire   +1 more source

Segmentation of SAR images

Pattern Recognition, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ali El Zaart, Djemel Ziou, Shengrui Wang, Qingshan Jiang   +3 more
openaire   +3 more sources

From Theory to Application: Real-Time Sparse SAR Imaging

IEEE Transactions on Geoscience and Remote Sensing, 2020
In recent years, the sparse signal processing technique has shown significant potential in synthetic aperture radar (SAR) imaging, such as image performance improvement and downsampled data-based image recovery.
H. Bi, Guoan Bi, Bingchen Zhang, W. Hong, Yirong Wu   +4 more
semanticscholar   +1 more source