Name
Title | ||
|---|---|---|
Enhanced ISAR Imaging and Motion Estimation With Parametric and Dynamic Sparse Bayesian Learning. |
Abstract | ||
|---|---|---|
This paper is focused on high-resolution inverse synthetic aperture radar (ISAR) imaging and motion estimation of maneuvering targets from compressively sampled echo data. Herein, a local structural sparse Bayesian learning (LS-SBL) algorithm is proposed by exploiting the joint sparsity pattern of adjacent scatterers. A structured prior by modeling the neighboring correlation or dependence is util... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TCI.2017.2750330 | IEEE Transactions on Computational Imaging |
Keywords | Field | DocType |
Synthetic aperture radar,Radar imaging,Machine learning,Motion estimation | Iterative reconstruction,Computer vision,Radar imaging,K-SVD,Pattern recognition,Hyperparameter,Computer science,Inverse synthetic aperture radar,Parametric statistics,Artificial intelligence,Motion estimation,Estimation theory | Journal |
Volume | Issue | ISSN |
3 | 4 | 2573-0436 |
Citations | PageRank | References |
2 | 0.37 | 32 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gang Xu | 1 | 91 | 6.98 |
| Lei Yang | 2 | 113 | 10.88 |
| Guoan Bi | 3 | 790 | 92.70 |
| Mengdao Xing | 4 | 1340 | 162.45 |