Abstract | ||
---|---|---|
Synthetic aperture LADAR (SAL) allows high resolution imaging of distant objects. Basic SAL image processing is based on fast Fourier transform (FFT) techniques originally developed for use in radar. These techniques can amplify noise and limit resolution. More advanced reconstruction techniques have been proposed for synthetic aperture radar (SAR), but have not been adapted for SAL. In addition, ... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TCI.2017.2663320 | IEEE Transactions on Computational Imaging |
Keywords | Field | DocType |
Synthetic aperture radar,Image reconstruction,Imaging,Bayes methods,Algorithm design and analysis,Laser radar,Apertures | Radar,Iterative reconstruction,Computer vision,Synthetic aperture radar,Image processing,Inverse synthetic aperture radar,Fast Fourier transform,Pixel,Artificial intelligence,Maximum a posteriori estimation,Mathematics | Journal |
Volume | Issue | ISSN |
3 | 4 | 2573-0436 |
Citations | PageRank | References |
1 | 0.63 | 9 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Casey J. Pellizzari | 1 | 1 | 0.63 |
Russell E. Trahan | 2 | 1 | 0.63 |
Hanying Zhou | 3 | 1 | 0.63 |
Skip Williams | 4 | 1 | 0.63 |
Stacie E. Williams | 5 | 1 | 0.63 |
Bijan Nemati | 6 | 1 | 0.63 |
Michael Shao | 7 | 1 | 0.63 |
Charles A. Bouman | 8 | 2740 | 473.62 |