dc.contributor.author |
Smith, Alexander |
|
dc.contributor.author |
Thompson, David R. |
|
dc.contributor.author |
Sayfi, Elias |
|
dc.contributor.author |
Xing, Zhangfan |
|
dc.contributor.author |
Castaño, Rebecca |
|
dc.date.accessioned |
2013-11-19T18:02:12Z |
|
dc.date.available |
2013-11-19T18:02:12Z |
|
dc.date.issued |
2013-03-04 |
|
dc.identifier.citation |
Lunar adn Planetary Science Conference, Woodlands, Texas, March 4, 2013. |
en_US |
dc.identifier.clearanceno |
13-0338 |
|
dc.identifier.uri |
http://hdl.handle.net/2014/44019 |
|
dc.description.abstract |
Imaging spectrometers yield rich and informative data products, but interpreting them demands time and expertise. There is a continual need for new algorithms and methods for rapid first-draft analyses to assist analysts during instrument opera-tions. Intelligent data analyses can summarize scenes to draft geologic maps, searching images to direct op-erator attention to key features. This validates data quality while facilitating rapid tactical decision making to select followup targets. Ideally these algorithms would operate in seconds, never grow bored, and be free from observation bias about the kinds of mineral-ogy that will be found. |
en_US |
dc.description.sponsorship |
NASA/JPL |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2011. |
en_US |
dc.subject |
hyperspectral imagery |
en_US |
dc.title |
A web-based search service to support imaging spectrometer instrument operations |
en_US |
dc.type |
Preprint |
en_US |