Name
Title | ||
|---|---|---|
Sparse Coding-Inspired High-Resolution ISAR Imaging Using Multistage Compressive Sensing. |
Abstract | ||
|---|---|---|
Sparse coding-inspired high-resolution inverse synthetic aperture radar (ISAR) imaging based on multistage compressive sensing (CS) is proposed in this paper. To achieve high cross-range resolution within a short coherent processing interval (CPI), we divide the ISAR imaging process into multiple stages, each of which can be regarded as sparse-coding processing, and the encoding and decoding matri... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TAES.2017.2649161 | IEEE Transactions on Aerospace and Electronic Systems |
Keywords | Field | DocType |
Imaging,Radar imaging,Image resolution,Encoding,Decoding,Time-domain analysis,Optimization | Computer vision,Radar imaging,Coherent processing interval,Inverse synthetic aperture radar,Fast Fourier transform,Artificial intelligence,Decoding methods,Image resolution,Mathematics,Compressed sensing,Encoding (memory) | Journal |
Volume | Issue | ISSN |
53 | 1 | 0018-9251 |
Citations | PageRank | References |
0 | 0.34 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Biao Hou | 1 | 368 | 49.04 |
| Guang Zhang | 2 | 8 | 3.34 |
| Zhenwei Li | 3 | 0 | 0.34 |
| Licheng Jiao | 4 | 5698 | 475.84 |