Name
Abstract | ||
|---|---|---|
We consider the data-driven motion compensation problem in inverse synthetic aperture radar (ISAR) imaging. We present optimization-based ISAR techniques and propose improvements to the range alignment, time-window selection, autofocus, time-frequency-based image reconstruction, and cross-range scaling procedures. In experiments, the improvements reduced the computational burden and increased the ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TAES.2017.2756518 | IEEE Transactions on Aerospace and Electronic Systems |
Keywords | Field | DocType |
Radar imaging,Imaging,Motion compensation,Optimization,Image resolution,Phased arrays | Iterative reconstruction,Computer vision,Radar imaging,Autofocus,Control theory,Motion compensation,Rotation around a fixed axis,Inverse synthetic aperture radar,Artificial intelligence,Test case,Image resolution,Mathematics | Journal |
Volume | Issue | ISSN |
54 | 1 | 0018-9251 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Risto Vehmas | 1 | 0 | 2.03 |
| Juha Jylha | 2 | 4 | 2.22 |
| Minna Vaila | 3 | 0 | 0.34 |
| Juho Vihonen | 4 | 25 | 7.49 |
| Ari Visa | 5 | 578 | 57.54 |