Title
Multifrequency Compressed Sensing for 2-D Near-Field Synthetic Aperture Radar Image Reconstruction.
Abstract
This paper investigates a new multifrequency compressed sensing (CS) model for 2-D near-field microwave and millimeter-wave synthetic aperture radar (SAR) imaging system, which usually collects multifrequency sparse data. Spatial data of each frequency are represented as a hierarchical tree structure under a wavelet basis and spatial data of different frequencies are modeled as a joint structure, ...
Year
DOI
Venue
2017
10.1109/TIM.2017.2654578
IEEE Transactions on Instrumentation and Measurement
Keywords
Field
DocType
Image reconstruction,Synthetic aperture radar,Radar polarimetry,Radar imaging,Microwave imaging,Compressed sensing
Least squares,Synthetic aperture radar,Electronic engineering,Artificial intelligence,Compressed sensing,Iterative reconstruction,Computer vision,Radar imaging,Algorithm,Inverse synthetic aperture radar,Microwave imaging,Signal reconstruction,Mathematics
Journal
Volume
Issue
ISSN
66
4
0018-9456
Citations 
PageRank 
References 
5
0.43
28
Authors
6
Name
Order
Citations
PageRank
Dongjie Bi1245.28
Yongle Xie2205.84
Lan Ma3242.43
Xifeng Li4276.36
Xiahan Yang552.12
Yahong Rosa Zheng688576.15