Name
Abstract | ||
|---|---|---|
Imaging spectrometers are valuable instruments for space exploration, but their large data volumes limit the number of scenes that can be downlinked. Missions could improve science yield by acquiring surplus images and analyzing them onboard the spacecraft. This onboard analysis could generate surficial maps, summarizing scenes in a bandwidth-efficient manner to indicate data cubes that warrant a ... |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TGRS.2012.2226040 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Space vehicles,Hyperspectral imaging,Imaging,Downlink,Feature extraction,Noise | Computer vision,Endmember,Remote sensing,Spectrometer,Outlier,Hyperspectral imaging,Space exploration,Artificial intelligence,Mathematics,Data cube,Salient,Spacecraft | Journal |
Volume | Issue | ISSN |
51 | 6 | 0196-2892 |
Citations | PageRank | References |
9 | 0.81 | 21 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David R. Thompson | 1 | 177 | 27.22 |
| Bornstein B J | 2 | 1190 | 133.27 |
| Steve A. Chien | 3 | 407 | 58.11 |
| Steven R. Schaffer | 4 | 10 | 1.40 |
| Daniel Tran | 5 | 9 | 1.15 |
| Brian D. Bue | 6 | 35 | 5.44 |
| Rebecca Castaño | 7 | 82 | 8.78 |
| Damhnait Gleeson | 8 | 10 | 1.16 |
| Aaron Noell | 9 | 9 | 0.81 |