Name
Title | ||
|---|---|---|
NASA Computational Case Study, Hyperspectral Data Processing: Cryospheric Change Detection |
Abstract | ||
|---|---|---|
This case study shows how remotely sensed hyperspectral data of NASA's Earth Observing-1 satellite are processed to detect features such as ice, water, and snow on Earth. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/MCSE.2012.43 | Computing in Science and Engineering |
Keywords | Field | DocType |
geophysical image processing,ice,remote sensing,snow,water,Earth Observing-1 satellite,NASA,cryospheric change detection,feature detection,hyperspectral data processing,ice,remote sensing,remotely sensed hyperspectral data,snow,water,Change detection algorithms,Classification algorithms,Clustering algorithms,Earth,Earth Observing-1,Hyperspectral sensors,Remote sensing,classification,hyperspectral data processing,remote sensing | Meteorology,Geographic information system,Satellite,Data processing,Change detection,Computer science,Remote sensing,Feature extraction,Hyperspectral imaging,Change detection algorithms,Snow | Journal |
Volume | Issue | ISSN |
14 | 4 | 1521-9615 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nargess Memarsadeghi | 1 | 33 | 7.70 |
| Thomas Doggett | 2 | 0 | 0.34 |