Name
Abstract | ||
|---|---|---|
Compressive spectral imaging (CSI) enables the acquisition of spectral and spatial information of a scene using fewer projected measurements than traditional scanning approaches. Recently, research efforts have focused on obtaining high-resolution spectral images via expensive detectors and sophisticated CSI devices. Alternatively, high-resolution spectral images can be obtained using side informa... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/JSTARS.2019.2902332 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Image coding,Sensors,Image reconstruction,Imaging,Encoding,Hyperspectral imaging | Iterative reconstruction,Computer vision,Spectral imaging,Subspace topology,Coded aperture,Hyperspectral imaging,Reconstruction algorithm,Artificial intelligence,Detector,Image resolution,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 4 | 1939-1404 |
Citations | PageRank | References |
2 | 0.39 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jorge Bacca | 1 | 6 | 5.25 |
| Claudia V. Correa P. | 2 | 2 | 1.06 |
| Henry Arguello | 3 | 90 | 30.83 |