Title | ||
---|---|---|
Multifrequency Compressed Sensing for 2-D Near-Field Synthetic Aperture Radar Image Reconstruction. |
Abstract | ||
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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 Bi | 1 | 24 | 5.28 |
Yongle Xie | 2 | 20 | 5.84 |
Lan Ma | 3 | 24 | 2.43 |
Xifeng Li | 4 | 27 | 6.36 |
Xiahan Yang | 5 | 5 | 2.12 |
Yahong Rosa Zheng | 6 | 885 | 76.15 |